The number of IoT devices has increased in leaps and bounds over the last few years. By 2025, Statista estimates that the total number of IoT connected devices globally will reach 30.9 billion units. Globally, IoT solutions can potentially generate $4-11 trillion in economic value by 2025. The Verizon Mobile Security Index indicates that a third of public-sector organizations have 1,000 or more IoT devices in place and seven percent have 10,000 or more.

The reason behind the gigantic strides made by IOT technology is simple. It empowers individuals and organizations with the ability to automate things, save time, cost and lets smart devices communicate with each other for seamless connectivity and operations. However, security challenges currently pose a great threat to the future of IOT. A recent study found that 99% of security professionals have found concerning challenges with the security of their IoT and IIoT devices. Here are the main security concerns that are casting a pall over the future of the internet of things (IoT).

Here are the Top 9 Security Challenges for the Future of the Internet of Things (IoT)

• Using weak and default credentials

Default credentials pose a grave danger to IOT devices. Keen to get their product out into the market ahead of competitors, many IT companies are selling devices with default credentials built-in. This makes the devices incredibly vulnerable to hackers who just need the username and password to hack them. Even with just the username, hackers may be able to carry out brute-force attacks. A prime example of this can be the Mirai botnet attack that targeted devices using default credentials. default credentials. Consumers need to be able to change the password as soon as they get the device, but most of these devices either don’t have the capability of changing passwords or do not have any guidelines in the instruction booklet on how to do it.

• Connectivity Bottlenecks

The growing number of IoT edge devices is straining many networks. Without the right deployment of edge computing framework, latency and subpar bandwidth continues to plague company networks. The problems are further exacerbated with centralized cloud networks that may lead to significant traffic bottlenecks, forcing device data back to the main servers with accompanying wait times. For devices that rely on real time processing of data such as autonomous vehicles, these kind of bottlenecks can be a death knell. The solution may lie in enhancing the processing capabilities of the devices And improving connectivity through edge data centers to offload some of the workload. This can also potentially help to extend network services in remote areas and improve the application of industrial IoT devices in areas such as agriculture and manufacturing.

• Lack of Testing and Updating

Currently, devices used by IoT companies essentially receive no major updates and security patches once they have been deployed. This means that the security vulnerabilities of the devices only add up over time. In a classic case of competition getting ahead of innovation, devices only undergo limited tests and most companies continue to roll out devices with weak security. Companies need to change this lax approach towards security and release devices that receive regular security updates.

• Predicting and preventing attacks

With hackers on a proactive hunt for vulnerabilities, IoT device manufacturers cannot rest on the laurels of simply finding existing vulnerabilities. In order to stay a step ahead of cybercriminals, companies need to be able to predict and prevent attacks. Connected devices need to employ some sort of a threat intelligence mechanism that can address such security issues. They also need to think of deploying AI and analytics in defense mechanisms. IT Consulting Los Angeles can help your organization defend against attacks targeting your IoT devices and network.

• Customer Skepticism

The lack of security and IoT devices has not gone unnoticed by consumers. With IoT companies betting largely on the implementation of smart homes they need to address such skepticism with transparency about data usage and updated security mechanisms for the devices. Winning the confidence of skeptical consumers will take repeated positive actions and clear communication from IOT manufacturing companies.

• Lack of IoT Administration

Any IoT system, regardless of size, needs its network to be equipped with the right technology stack for effective management. Effective IoT administration needs the right tools, infrastructure, operational protocols, workflows and standards, and more to ensure optimized performance. A glaring lack in any of these areas can result in subpar performance.

• Use of autonomous systems for data management

The humongous amount of data generated from IOT devices requires the use of AI tools and automation for data management. However, configuring the rules for traffic patterns can be tricky as a single mistake can lead to a significant outage. This is especially risky for large enterprises and organizations facilitating essential services.

• Securing the Edge

One of the main risk factors associated with IoT security comes from the fact that each device is connected to a broader edge computing network that allows for a much larger attack vector than any traditional network. With complicated network architectures, many devices even travel between multiple networks allowing for malware intrusions along the way. The autonomous nature of many IoT devices also makes things more complicated. For effective protection, companies need to build zero trust networks where all devices are assumed to be compromised. This enables the implementation of protection and authentication protocols that subject each device to exacting scrutiny before allowing access.

• Government Regulation
  Legal jurisdiction continues to play catch-up with the evolution of IoT technology. While there has been a strong movement for data protection in recent years, regulations concerning the implementation and management of IoT are still evolving. The best course of action for IoT companies now is to align with data centers that incorporate compliance as a part of their culture and operations. These data centers are already prepared for secure handling and management of IoT data Making them a natural ally for IT companies.

About Brent

Brent Whitfield is the CEO of DCG Technical Solutions LLC. DCG provides specialist advice and Managed IT Services Los Angeles area businesses need to remain competitive and productive while being sensitive to limited IT budgets.

Brent has been featured in Fast Company, CNBC, Network Computing, Reuters, and Yahoo Business. He also leads SMBTN – Los Angeles, a MSP peer group that focuses on continuing education for MSP’s and IT professionals. https://www.dcgla.com was recognized among the Top 10 Fastest Growing MSPs in North America by MSP mentors.

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Below are the most impactful predictions for IoT Devices of 2021

• Smart Home Assistants 

With the move to more e-commerce interaction, COVID-19 has already shifted customer preferences by ten years. For instance, when people find they’re low on household essentials, Amazon pushes aggressively to train their clients to order via Alexa. This will cause a massive shift in customer spending and greatly support Amazon.

• Smoke Alarms

Having a smoke alarm definitively prevents fire-related accidents and encourages individuals to take the appropriate steps before a tragedy. An essential IoT system is the modern smoke alarm. It thinks, acts, and then alerts any suspicious activities and emergencies in your home to your mobile phone. Without any external hardware, users can also handle the alarm from their handsets.

• Home Cybersecurity Hubs

Smart home cybersecurity hubs are rising in popularity because they are essential. We open our homes to cybersecurity threats as we improve the internet’s access to our home appliances like doorbells and fridges. Hackers can access information now through smoke alarms and air purifiers. All your IoT devices are secured by a cybersecurity center from identity theft and password-stealing malware. This is one of the greatest predictions for IoT devices of 2021.

• Wearable Fitness Devices

Smart fitness devices are not going anywhere anytime. Any fitness-oriented wearable IoT system with biosensors can do well in today’s market. According to the latest year-over-year sales numbers, it doesn’t show any signs of stopping. Most of us want to be better off, but they don’t know how to calculate our success. The solution is wearables. 

• Smartwatches

Smartwatches in the coming year will have a massive impact on the IoT space and consumers’ lives. From a UX point of view, companies such as Samsung have optimized the smartwatch experience. But they have also gained plenty of actionable data from their current customers. It will lead to more reliable health readings, more features, and a better customer experience overall.

• Doorbells

Having an innovative doorbell system connected to your home is becoming more and more common. People can keep an eye on their deliveries, see who’s at the door, connect, and much more with those outsides. It offers extra safety and security on top of convenience. As they make consumers feel safe, these devices will continue to rise in popularity. 

• Refrigerators

A loT refrigerator would make your shopping list easy to come up with. This helps you with inventory and verifies what items are running low. There is also a refrigerator that you can contact to know if a specific item is already out of stock. Plus, no matter where you are, it will defrost and change temperatures. 

• Kitchen Gadgets

As more and more food-based devices become available on the market, IoT kitchen gadgets are sure to pick up in 2021. For example, IoT pressure cookers and other devices provide precision control in cooking food. It also provides a safety layer because it will turn off if you forget the meal you are making. These devices can be time-savers as individuals try to combine work and home life. 

• Sleep Trackers

As people struggle to get a good night’s sleep and feel well-rested in the morning, sleep monitoring devices are becoming more common. These are perfect for customers because you need sleep to feel like yourself both in and out of the office. 

• Smart Plugs

The Smart Plug is one of the IoT devices of 2021 that is expected to see strong consumer demand. This product uses your Wi-Fi link to provide all the electronic devices in your home with wireless control, right from your mobile device. 

• Mobile Phone Geofencing

The geofencing of mobile phones allows you to map customers to physical companies when giving them relevant content. It enables them to visit the company, which may contribute to sales. This technology has been developing every year. There will be a spike in outdoor activities until everyone starts to go about their business again.

• IoT Devices of 2021 for Working from Home

Alexa and its predecessors will significantly impact since working from home will be the new standard in 2021. In addition to mainstays like Zoom, even the Virtual Stage resource provided by Microsoft is likely to play a significant role.

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Cellular IoT is often utilized in:

• Smart Agriculture– Start farm machinery remotely to increase the quality and convenience of production. 
• Smart City- Counters allow public parks to count their attendance every day without paying employees to track the crowds manually.
• Public Security- IoT-connected asset trackers monitor school buses in real-time to ensure that they are on schedule and at all times to keep students safe. 

Benefits provided by Cellular IoT:

• Wide Coverage Area

Since cellular IoT uses pre-existing mobile networks, there is an extensive coverage area already in place. Device distribution in different countries and cities can also be done. This is important for any IoT project, whereby information availability is essential. Particularly for asset monitoring, mobility, and other activities of a technology company.

• Remote Administration 

Periodic testing and monitoring of any physical system that includes cellular IoT devices are critical. Using an online IoT system, you can remotely track and troubleshoot your linked, connected devices regardless of location. This benefit means that it is possible to alert service technicians instead of checking every system for anomalies. Thus, cellular communications minimize disturbance and significantly reduce expenses related to field service. 

• Personal Networks & Protection Tools

Any IoT application needs security protocols to guard against unauthorized disclosure. This is extremely important for all sensitive data monitoring devices, such as medical applications or malicious ones. Cellular IoT devices can use private network technologies like VPNs, APNs, and IPsec protocols to add security layers to the user, network, and data. 

• Cellular IoT Advancement

Cellular networks are now widespread across the entire planet. It can facilitate large data movements, so we don’t need to develop any physical infrastructure to support cellular IoT. For years cellular-enabled IoT computers used a lot of electricity, limiting their utility to apps where it was easy to obtain energy. However, modern cellular sensors can now transmit good volumes of data over vast distances without the power being depleted. And also, with 5G on the way, the future will look promising for cellular IoT. 

• Cellular IoT’s Forthcoming Possibilities 

5G is the future of mobile connectivity and IoT for many devices/services, offering blistering speeds and ultra-low latency. The path to 5G runs via 4G networks, using fixed wireless, improved mobile broadband, low latency, and automated data communication. For cellular IoT, this has significant implications. Carriers don’t have to wait, though 5G holds excellent promise for IoT users. Using 4G networks, cellular IoT can be deployed today and occupy a large portion of 5G networks in the future. As a next move, carriers must find ways for commercial customers to monetize the service and settle on reasonable prices. 

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Nanotechnology’s impact on IoT

Nanotechnology provides intelligent solutions in various fields, such as biomedical, industrial, military, and consumer and industrial goods. A physical network made up of nanomaterials that facilitate data exchange can be combined with the IoT to develop. Their integration is known as the Internet of Nano-Things. It has already transformed and taken the fields of energy, medicine, and many other sectors to a whole new dimension. Nanotechnology is increasingly luring the eyes of corporate leaders and governments as a rapidly emerging field of technology.

Nanotechnology solves several issues, such as nanosensors that can help save the environment, beyond medical research and automotive excellence. Micro modifications in pressure, temperature, or chemical composition can be detected, and more accurate data can be gathered and things measured effectively. To perform tasks, a nanomachine comprises nano components. It works in the way people connect devices via the Internet of things. But the main variance is that it can link the nano components that are impossible with IoT. The Internet of Nano-Things is predicted to be applied in different areas, just like IoT holds promises of many applications.

Promising Applications of Internet of Nano-Things (IoNT)

Integrating nanotechnology and IoT will revolutionize the current IoT applications, rendering them more functional, robust, and compact. The applications can demonstrate promising potential and improve productivity and efficiency as industries are looking to embrace IoNT.

• Healthcare: All medical professionals and patients can access vital healthcare data in real-time by leveraging IoNT. Using in-body nanosensors, IoNT can be used to build a body sensor network that can track patients’ health and biological activity.
• Smart Homes: Smart homes can be made smarter by the use of IoNT. IoT is already being used for device control in smart homes via smartphones, Amazon Echo, and others. IoNT will further expand this exciting smart home solution. Nanosensors can detect and maintain particular temperatures in a room, recognize harmful airs and gases, and track everything.
• Food and Agriculture: The IoNT has made its way deep into the production and agriculture of food. By monitoring data about crops and soil, it can assist in precision farming. This nutrition technology would contribute to the design and development of novel foods with improved solubility, temperature requirements, and thermal stability.

The integration of nanotechnology and IoT is likely to offer much more exciting possibilities for every aspect of life for human beings. The security risks should never be ignored. To deliver promising abilities, more research is still required to be done.

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The number of smart devices projected to hit 31 billion by 2020 and rise to 75 billion by 2025. Organizations must understand how these gadgets transform conventional working methods into complex and interconnected systems. Through the use of IoT, IoT sensors will limit the challenges in development and the supply chain.

Manufacturers and industrialists have a crucial opportunity to screen and automate enormous numbers of complex production-related processes in each area. Although systems have tracked the plant’s progress, the industrial IoT (IIoT) technology offers managers unmistakably more nuanced data.

• Product Development

In an assembly cycle, defects and insufficiency in the final product increase spending and overburden workers. Producers may use the IIoT features to mitigate these problems, and one such is Digital Twins. In a digital form, it imitates the evolving product. By retrofitting sensors, manufacturers gather information from each device about the entire working system of their gear and the predicted yield. The data obtained from the digital replica enables decision-makers to analyze the system’s efficiency, effectiveness, and accuracy. It also helps to find potential bottlenecks in their product, which encourages managers to create a better product version.

• Predictive Repairing

IFTTT, cloud/API, or legacy systems manufacturers may obtain necessary maintenance information by interfacing IoT-driven gadgets. They have distinctive sensor points (temperatures, vibration, voltages, flows, and so on) to various gadgets. This type of data makes the process state of the hardware calculated, warning signs to be determined, transmitted, and necessary repair processes to be activated.

IoT turns maintenance in this way into a constant and automated practice that anticipates failure a long time in advance. Also, it facilitates cost savings over conventional preventive steps as the motions are made precisely when they are critical. Managers can identify plant machinery that requires fixing by having legitimate information in time. Plus, it helps organize upkeep activities and maintains networks online while the staff is still conducting the task. IoT can increase the life of machinery, add to plant safety, and reduce the dangers of mishaps that adversely affect the environment.

• Facility Management

In manufacturing equipment, the use of IoT sensors empowers condition-based maintenance alerts. There are numerous essential machine tools designed to function within a specific range of temperature and vibration. IoT sensors can virtually screen machines when the hardware strays from its accepted parameters and send a notification. Manufacturers may preserve energy, reduce machine downtime, and improve operating efficiency by maintaining the machinery’s authorized workplace environment.

• Supply Chain Management

In real-time, IoT devices monitor and follow the inventory status. By getting real-time insights into accessible assets, producers can screen their supply chain. It includes data identified by the Work in Progress, the hardware selection, and the date of delivery of the raw materials needed. Besides, some IoT providers provide the incorporation of their IoT solutions with the existing manufacturers’ ERP frameworks. This requires wiping out the need for manual operational documentation. It offers cross-channel visibility into different departments and allows partners to inspect the progress underway. This ultimately decreases spending due to mismanagement and lack of analysis in the business.

• Asset Tracking

Increasingly, asset practices will be executed by manufacturing companies in general. IoT innovation makes it conceivable to acquire knowledge about real-time assets. It also helps make responsible decisions, coupled with creating native web and smartphone applications for iOS or Android. The significant role of pursuing lies in identifying and monitoring such essential resources as the supply chain sections. Such apps will dramatically streamline logistics, keep job uploads in progress, and report robberies and violations. IoT-based asset monitoring helps manufacturers quantify mobile equipment elements’ usage and initiate steps to abbreviate idle time and increase use.

• Safety and Security

As IoT integrates big data analysis, employees’ overall safety and security can be enhanced. By tracking primary health and safety performance indicators (KPIs), like the number of accidents, injury rates, and near misses. Efficient monitoring, in this way, ensures better security. If any, slacking pointers can be discussed to provide sufficient health, safety, and environment (HSE) redress.

Conclusion

IoT continuously enhances connectivity and advances assembly processes, with the continuous development of more software and solutions. Microsoft announced that it is uniting with the BMW Group to change digital production efficiency with an IoT open manufacturing platform. Obviously, with this current, many are starting to take advantage of this ground-breaking advancement. Thus, with growing profitability and expertise and gaining a deeper understanding of their clients’ behavior trends and needs.

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Here are a few IoT trends will impact industries around the globe in 2021

Connectivity

IoT certainly encourages digital transformation and the emergence of new business models and offerings. Connectivity is the IoT’s backbone since it is commonly used with soaring numbers of connected devices. Connectivity must be agile and nimble for new business models to meet network performance. It needs a wide variety of emerging IoT use cases, applications, and types of devices. Some possible network connectivity types for a sensor or device are cellular, satellite, Wi-Fi, Bluetooth, NFC, RFID, and LPWAN.

Augmented Role of Data Analytics

The capacity and relevance of the IoT depend significantly on data. It presents the data in an actionable and digestible way, making the technology most desirable to consumers. The data analysis of things that produce and process solutions will be complemented by leveraging data analytics. Data analytics will allow users to quickly pick up on patterns or trends within the data collected by their devices. Subsequently, the insight gained by data analysis ensures that a company is well equipped with the information required to make effective business product decisions quickly.

Predictive Maintenance

An IoT-enabled predictive maintenance solution can assist businesses in envisaging potential damage by gathering data from ultrasonic and vibration sensors. This is particularly crucial in the manufacturing space as manufacturers search for a competitive advantage to compete better. The IoT apps in manufacturing, logistics, warehousing, healthcare, and others are commonly used for predictive maintenance.

Security

The IoT solutions provide individuals as well as organizations with valuable data and insights. It is vulnerable to cyberattacks, although its advantages are undeniable. For example, Kaspersky detected 105 million attacks on IoT endpoints alone in the first half of 2019. Although security remains a significant concern for IoT solutions, recent research shows that 90% of customers lack trust in IoT devices’ security. Therefore to ensure the integrity and confidentiality of IoT solutions and data while alleviating cybersecurity hazards, it has become crucial for those using this technology.

Evolving IoT Applications

IoT solution implementations and use cases are developing at a rapid pace. Their applications surround smart cities, wearables, smart grids, industrial environments, smart homes, etc. IoT will enter more markets and business settings with the growth and creation of this technology in the near years. It will lead the world to become more digital. Knowing these instances of IoT use would undoubtedly help companies incorporate IoT technologies into their future investment decisions.

Workforce Management

IoT can boost the performance and productivity of the workforce. It is similar to disruptive innovations that are transforming consumer markets. It is no wonder that every organization’s workforce is the cornerstone of all its activities that ultimately produce revenue. But handling them can be a more difficult task than IoT solutions can accomplish. The same ecosystem of cloud computing and collaboration protocols is in utilization for workforce management and IoT systems. Integrating them will provide stability and enhanced organizational visibility and allow analytical methods to forecast reasonable steps reliably.

Blockchain

Often prone to security breaches, IoT devices make them an easy target for DDoS attacks. In that context, the most secure way to ensure data protection is the blockchain. It can help solve some of the problems of IoT security and scalability as a distributed ledger technology. Blockchain is an information game-changer that offers a way for a user group to record and exchange information.

Data Processing with Edge Computing

As IoT devices usually have minimal data capacity, intensified adoption of IoT solutions due to cost reduction requires enhanced data processing capability. These devices can achieve the greatest success with edge computing and result in cost-efficiency when processing data. Edge computing often allows data obtained by a computer to be directly processed on that device without being sent to other locations.

Digital Twins

IoT is considered a strategic technology to realize the full potential of digital twins of physical products. IoT provides insight into the entire life cycle of the product unfolding deeper processor operational knowledge and optimizing maintenance. A digital twin is capable of improving IIoT applications. And shortly, it is likely to become a fundamental pillar for smart manufacturing.

The demand for Smart Home Will Rise

To make homes more social, IoT technologies have spread to smart home technology. And this will continue to increase the adoption of such technology. The smart home market’s primary enabler is the evolving need for customer comfort, safety, and security. Simply put, a smart home consists of a broad range of IoT, voice-first technology, AI, AR, and VR interconnected features and technologies.

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Here’s a list of the top 10 emerging IoT technologies:

1. IoT Security: To secure IoT devices and platforms from both information attacks and physical tampering, security technologies will be needed to encrypt their communications. And to tackle new challenges such as impersonating “things” or denial-of-sleep attacks that drain batteries. Many ‘things’ use basic operating systems that may not embrace sophisticated security approaches will complicate IoT security.
2. IoT Analytics: IoT business models will utilize the information collected by “things” in several ways, which will involve statistical methods. The needs of the IoT will further diverge from conventional analytics as data volumes increase over the next five years.
3. IoT Device (Thing) Management: Management and monitoring, including system monitoring, firmware, software upgrades, and security management, will be needed for long-lived nontrivial ‘things.’ Tools must be capable of handling and controlling thousands of computers, and maybe even millions.
4. Low-Power, Short-Range IoT Networks: Wireless IoT networking will be dominated by low-power, short-range networks by 2025, significantly outnumbering communications using broad-area IoT networks. However, commercial and technological trade-offs ensure that multiple options, with no single dominant winner, will coexist.
5. Low-Power, Wide-Area Networks: IoT applications that require wide-area coverage combined with relatively low latency and high link density, conventional cellular networks don’t offer the right combination of technological characteristics. Emerging standards like narrowband IoT would probably occupy this space. It is one of the best emerging IoT technologies.
6. IoT Processors: Many of its capabilities are specified by the processors used by IoT devices, like whether they are efficient of strong security and power consumption. Whether an operating system, updatable firmware, and embedded device management agents are sufficiently sophisticated to support it. Understanding the effects of processor choices would take profound technological skills.
7. IoT Operating Systems: For IoT applications, conventional operating systems, such as Windows and iOS, have not been developed. They engross too much power, need fast processors, and lack features such as guaranteed real-time response in some instances. Small devices often have a big memory footprint and may not support the chips that IoT developers use. As a result, various IoT-specific operating systems are developing to fit several different hardware footprints and specifications for functionality.
8. Event Stream Processing: Some IoT applications can generate too high data rates that need to be analyzed in real-time. Systems that produce thousands of events per second are standard, and in some instances, millions of events per second will occur. Distributed stream computing systems have arisen to meet such requirements as its best emerging IoT technologies. Which can process very high-rate data streams and perform tasks such as real-time analytics and recognition of trends.
9. IoT Platforms:IoT platforms pack up many of the elements of an IoT system’s infrastructure into a single product. The services that such platforms offer fall into three major categories:

• Control of low-level devices and activities such as messaging, monitoring and management of devices, security and firmware updates
• Acquisition, transformation, and management of IoT data
• Development of IoT applications, including event-driven reasoning, programming of software, visualization, analytics, and adapters to connect to enterprise systems

10. IoT Standards and Ecosystems: Standards and their associated programming interfaces for applications (APIs) will be essential because IoT devices will need to connect and interact. And many IoT business models will rely on data sharing between multiple devices and organizations. Many IoT ecosystems will arise, and as standards change and new standards and APIs emerge as it is the best emerging IoT technologies. Organizations creating products will have to create variants to support several standards and be prepared to update products over their lifecycle.

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Listed below are the 11 reasons for IoT failure

1. No clear definition of the case of IoT use: First of all, due to the lack of a well-defined, business-oriented, and coherent vision, IoT projects fail. The implementations of technology not knowing about its uses and calculating opportunities are one of the reasons for IoT failure.

2. The implementation of technology is not caring to match it with business profile and diving headlong into IoT. Without a calculation of opportunities and barriers, the most common sources of problems related to IoT adoption.

3. Lack of understanding of IoT cybersecurity risks: Concentrating on data and system protection is crucial when integrating any technology. Reports of growing cyber-attacks and data breaches are on the rise due to unsecured IoT devices. The hatred of consumers is faced by many businesses that fail to understand the depth and breadth of cybersecurity threats.

4. Implementing IoT for single-issue concerns: Another significant error that most leaders make is to deploy IoT to fix one or two issues discreetly. It will affect other processes/areas when your company requires an IoT implementation size. Holistic IoT implementation scheduling is created to fulfill points of integration between processes, using IoT infrastructure to execute it through the enterprise successfully.

5. Long completion times: Resistance to change and outdated internal organizational structures can be a significant obstacle in completing projects. Before a project begins, all relevant stakeholders must have buy-in. And that one recognizes and defines the achievements IoT solutions can bring with them and their further potential. To ensure timely and effective adoption, implementation requires careful planning.

6. Lack of qualified professionals: Only 33 percent of current adopters believe that their businesses have enough resources to see their ventures through to realization. Having little IoT knowledge is also one of the reasons for IoT failure. Small businesses do not engage their team to work on an IoT project. Experts suggest working with an IoT expert is necessary to prevent future IoT failures. It is also useful to harness the advantages of new technology to the fullest.

7. Low data quality: Poor data also means that poor decisions are in the making from that data. It is crucial to identify and utilize the right internal teams and external resources. It ensures that you overcome the gaps in your expertise and make the most of the correct insights.

8. Integration of IoT: Linked to a lack of internal expertise, the integration of IoT initiatives in an organization can be seen to fall short. As teams and departments are not consistent in their integration, which is one reason for IoT failure. Integration is not just about technical implementation; it is about policy, communication, and organizational relevance.

9. Budget overruns: Longer completion times and unaccounted resources can take a financial toll, and IoT ventures can be eliminated. Managers need to prepare carefully and realistically in multiple situations. And also, they should have tools and cost contingencies that are necessary to complete a project.

10. Define your customer and market demand: Evaluating the acceptability of your project to end-users, whether they are your coworkers or customers, is essential. To ensure that your use case addresses actual, take time to think about the possible application scenarios. Underdeveloped use cases appear to ruin the whole effort, as they can become useless simply because of a lack of end-user interest.

11. Gather a team of IoT enthusiasts: Its true IoT projects are always challenging. They require sets of skills and expertise not always found within all organizations, including IT. If you lack people with enough experience and skills to help an organization. Hiring external contractors to fill the skill gap instead of depending on your shaky in-house talent reservoir is beneficial.

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So, yes, IoT hacking is actual, and IoT devices can be hacked. The question of whether to launch a successful attack against a particular target may get a different answer. However, a skilled, determined hacker with physical or remote access to an IoT system may find a way to compromise. This does not necessarily mean the method would be practical, too.

Listed below are a few potential points of IoT hacking

Unauthenticated Access

One of the most primary vulnerabilities of IoT hacking is unauthenticated access, which enables threat actors to access IoT devices. It is then made accessible to exploit device data and any controls generated by it.

Weak Authentication

Threat actors can easily access devices when a weak authentication mechanism is in place in the firmware. These mechanisms can range from single-factor, password-based authentication, too weak cryptographic algorithm-based systems. Brute-force attacks can break it in.

Hidden Backdoors

Hidden back doors are favorite of hackers, and Backdoors are intentional vulnerabilities in an embedded device. It provides remote access to anyone with information about the “secret” authentication. While backdoors are potentially helpful for customer support, they can have severe consequences when discovered by malicious actors. And hackers figure them out nice.

Encryption Keys

When stored in an easily hackable format, encryption keys can present an enormous problem for IoT security. While the Data Encryption Standard (DES) is proved inadequate, it is still in use today. Hackers can take advantage of encryption keys to eavesdrop on correspondence and start the process of IoT hacking. Hackers can access the device or even create rogue devices capable of performing malicious acts.

Debugging Services

Debugging information in beta versions of IoT devices equips developers with device knowledge of their internal systems. Unfortunately, debugging methods are often left in manufacturing devices, giving hackers access to the same inside device knowledge.

As companies are bringing new IoT products and businesses are moving quickly to capitalize on many benefits of IoT deployment. Speed prioritization need not necessarily overpower security concerns. The excellent news is that the most common IoT hacking described above is avoidable. And these exploits can be fixed without any additional cost to the manufacturer.

Still, the prevention of IoT hacking should be a top priority not only for manufacturers, companies, and big corporations. But also for the simple consumers. There should be proper education on the dangers and preventive measures when it comes to this serious matter. An example would be the use of Socks5 proxy servers to keep networks secured by masking the connected user’s identity and information. Another example would be the importance of frequent system updates to fix bugs that can be gateways to IoT hacks.

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Think of future in which automatic cars gather, process, and store driving data to make it easier and more comfortable for road travel.

Here are the most creative IoT applications to redefine the world post COVID-19

• IoT and Pest Control: A handful of businesses use IoT to track their pest populations. Semios, uses sensors and machine vision technology to monitor the populations of pests in vineyards, orchards, and other agricultural environments.

• Good Quality Agricultural Goods: In the vineyard, IoT driven sensors to upload data to the cloud  such as soil humidity, air humidity, sunlight and sunshine intensity, temperature, and rainfall. These allow the workers to help do the right job at the right time and minimize bad harvest decisions that could affect the quality of the product. Those sensors help to improve sustainability by reducing pesticide usage better.

• Mitigating Illegal Fishing: IoT finds its application for monitoring fishing activities and a deeper understanding of aquatic safety.

• Predictive Maintenance: This is widely applied to the management of buildings, oil , gas, etc where IoT finds its application in many consumers and industries. Most manufacturing companies use IoT driven sensors for their predictive maintenance operations.

• Waste Management: When it comes to smart cities, IoT creates new dimensions. IoT is transforming urban life, from smart street lighting to better parking. IoT technologies have redefined our immediate climate. Sensor networks in apps can help to handle waste better by collecting waste where human hands cannot reach.

It is safe to say that Industry and IoT are at the forefront of new technical solutions across domains for business growth, production, and management. Massive changes in industries are contained since the Covid-19 scare, and the adoption of IoT allows businesses to implement flexible, smarter, and inventive ways of advancing technological development.

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