IoT Security
Article | July 5, 2023
Artificial intelligence (AI) has already made headway into becoming a general-purpose technology vastly impacting economies. Yet, the interpretation and estimated trajectory for something remotely close to what we call AI now was first explored in the 1950s.
Until this very day, AI keeps on evolving further. Though let’s face it, AI would have been useless without data. With around 2.5 quintillion bytes of data being generated every day, the numbers will shoot up as the Internet of Things (IoT) enters the game.
Let’s see what this is all about and where and how exactly IoT crosses paths with AI applications.
IoT fundamentals: Where does IoT meet AI
The benefits of IoT in AI
Challenges of IoT in AI
Why implement machine learning in IoT
IoT applications for AI
Key takeaways
IoT fundamentals: Where does IoT meet AI?
What is meant by the term internet of things (IoT) is essentially a system of correlated digital and mechanical appliances, computing devices, and sensors embedded often into everyday objects that transfer data over a network. IoT connects the internet to any and every physical thing or place in the world.
Modern IoT has advanced from the mere merging of microelectromechanical systems to wireless technologies, and faster data transfer through the internet. This resulted in a confluence of information technology and artificial intelligence, allowing unstructured machine-generated data to be evaluated for insights that could lead to new developments.
More and more industries are now referring to IoT to function more proficiently, provide better customer service, escalate the significance of their business, and implement robust decision-making.
Machine learning for IoT can be used to identify anomalies, predict emerging trends, and expand intelligence through the consumption of audio, videos, and images. The implication of machine learning in IoT can substitute manual processes and offer automated systems using statistically backed up actions in critical processes.
The benefits of IoT in AI and real life
IoT offers the following benefits to AI applications:
IoT data for business purposes
Cost and time savings
Task automation and reduction of human intervention
Higher quality of life
IoT data for business purposes
IoT can also be viewed as a data pool. That means by aggregating IoT data, one can extract useful data-driven feedback, which in turn (used properly) may foster effective decision-making. Businesses can also identify new market opportunities, not because of IoT itself but by using the data IoT provides. And since IoT offers companies access to more data, and hence advanced analytics of that data, its usage can eventually result in improved customer outcomes and enhanced service delivery.
Cost and time savings
When devices get connected, cost reductions come along with it. The gathering of different data allows for advances in efficiency, and it leads to money surplus and low-cost materials.
Task automation and reduction of human intervention
Nowadays, devices that are internet-connected can be found in every aspect of our lives, and it is safe to say that they make tasks easier. These automation features range from real-time AI-powered chatbots to home automation control systems, and all of it usually takes a click of a button.
For businesses offering AI-enabled solutions, similar advancements can be achieved with pipeline automation too. That includes significant cuts in annotation and QA time. By leveraging SuperAnnotate’s platform, hundreds of companies recorded faster task completion and more accuracy in prediction results.
Higher quality of life
IoT is not only beneficial in the business aspects but it also creates better living circumstances for us. Smart cities and agriculture, intelligent homes, and food waste solutions are some of the most common ways of IoT providing better, more sustainable living conditions for people.
Challenges of IoT in AI
Despite the numerous benefits and advancements that IoT brings to the table, there have been a few limitations with it. Some of them are listed below:
Privacy issues
Data overflow
Bug issues
Compatibility issues
Privacy issues
With the increased connection between multiple devices or their coexistence for model development purposes, more information is shared between them, which poses vulnerability to your data and makes room for caution. Added layers of protection are needed to prevent risks of data leaks and other threats.
Data overflow
Eventually, organizations will have to find a way to deal with the large numbers of IoT devices, and that will include the collection and systematic management of all the data from those IoT devices. The proper use of data lakes and warehouses, close governance, and intuitive arrangement of datasets will become an utmost priority.
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Bug issues
If one IoT device has a bug in its system, there is a large chance that every other connected device will also have it.
Compatibility issues
Because there are no international standards of compatibility for IoT, it's harder for different devices to communicate with one another.
Why implement machine learning in IoT
More and more companies are combining IoT with machine learning projects so they can achieve analytical skills on a large variety of use cases which allows their businesses to have access to fresh insights and adopt innovative automation. By implementing machine learning for IoT, they can leverage the following:
Convert data into a coherent format
Arrange the machine learning model on device, edge, and cloud
Enable use of data on edge devices directly for complex decision making
IoT applications for AI
Although we have covered the basics of IoT, its implications for AI are not as simple. Many corporations are adopting IoT which allows them to have an advanced approach to growing and advancing their business. Novel IoT applications are offering organizations the ability to plan and implement more vigorous risk management strategies. Some of the more common uses of IoT in AI encompass the following:
Transport logistics
Not only does IoT expand the material flow systems in transport logistics, but it also improves the automatic identification and global positioning of freight. It also increases energy efficiency and consequently declines the consumption of energy.
Smart cities
Although the term smart city is still incomplete, it mainly refers to an urban area that endorses sustainable enlargement and high quality of life. Giffinger et al.’s model explains the features of a smart city, including the people, the government, the economy, and lifestyle.
E-health control
The two main objectives of future health care are e-health control and prevention. People nowadays can choose to be monitored by physicians even if they do not live in the same country or place. Tracing and monitoring peoples’ health history makes IoT-assisted e-health extremely useful. IoT healthcare solutions could also benefit the specialists, as they can collect information to advance their medical calculations.
Key takeaways
Ever since its development, IoT, especially AI-enabled IoT, as discussed, has been enhancing our daily lives and directing us to work smarter while having complete control over the process. Besides having smart appliances to elevate homes, IoT devices can also be essential for providing insights and an actual look for businesses into their systems. Heading forward, IoT will continue to develop as more organizations get to understand its potential usage and tangible benefits.
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IoT Security
Article | June 28, 2023
Introduction
Automation, interconnectivity, machine-learning, and real-time data are part of Industry 4.0, a new phase in the Industrial Revolution. Industry 4.0, which includes IIoT and smart manufacturing, combines physical production and operations with smart digital technologies. It creates a more holistic and linked environment for manufacturing and supply chain management organizations.
In today's production environment, "automation" has a new, more advanced meaning than it has in the past. Industry 4.0 refers to the necessity of lean, efficient operations and the function of sustaining and improving production. In contrast, IIoT distinguishes manufacturing gadgets from consumer products that can connect wirelessly to internal networks and the internet.
IIoT Powering the Fourth Industrial Revolution
Manufacturing, logistics, oil and gas, transportation, mining, aviation, energy, and other industries use the IIoT. Its main goal is to improve operations, mainly through process automation and maintenance. IIoT capabilities improve asset performance and allow for improved maintenance management. The introduction of Industry 4.0 technologies marked a significant milestone in the human-machine relationship's history. I4.0 was first talked about in 2011. Since then, it has proliferated because of new technologies such as cyber-physical systems, IT/OT convergence, AI/ML, Blockchain, and AR/VR.
Data is at the heart of the Fourth Industrial Revolution. The growth of the Internet of Things (IoT) is one of the main reasons behind this. The IoT is making a significant contribution in making businesses smarter and improving their workflows. Moreover, more data is being made and used by connected devices than ever before, from the home to the factory.
In order to thrive in the fourth industrial revolution, businesses must embrace new technologies. The general structure of IIoT applications is defined by standards-based industrial system architectures such as the Industrial Internet Consortium's Reference Architecture. Sensors and IoT devices, IoT middleware platforms, IoT gateways, edge/cloud infrastructures, and analytics applications are all part of the stack.
The Future of the IIoT
The Industrial Internet of Things (IIoT) is primarily regarded as one of the most significant current and future trends influencing industrial companies.
To comply with new rules, industries are rushing to upgrade their systems, machinery, and equipment. This is necessary to keep up with market volatility and deal with disruptive technologies.
Safety, efficiency, and profitability have all improved dramatically in industries that have adopted IIoT. As IIoT technologies become more widely adopted, this tendency is projected to continue.
Conclusion
The fourth industrial revolution has drastically altered our perceptions of things in the workplace. At a rapid rate, capitalists are becoming more interested in sophisticated ideas.
The way forward is to embrace existing and emerging technology throughout fundamental operations to unleash more enticing possibilities. It emphasizes the importance of comprehending the impact collaborative ecosystems can have as well as how they will become a major differentiator for generating value with a better-trained workforce.
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Industrial IoT, IoT Security
Article | July 11, 2023
Explore the IoT certifications and grow your skills with the transforming landscape. Including Iot security certifications, this curated list will help you to boost career in the IoT industry.
As the Internet of Things continues to expand its reach across industries, the need for robust security measures to safeguard connected devices and data has become paramount. With IoT systems' growing complexity and interconnectivity, organizations seek professionals with specialized knowledge and expertise in IoT security. In response to this demand, various certifications have emerged to validate individuals' skills and provide them with a competitive edge in the IoT industry. In this article, we will explore some key IoT security certifications that can significantly enhance one's career prospects and contribute to IoT solutions' safe and secure deployment.
1. IoT Security Certification and Cybersecurity
Intertek’s IoT Security Certification and Cybersecurity provides IoT certification and testing services to validate the security of connected products. Securing endpoints and ecosystems has become crucial with the rapid growth of the Internet of Things. Intertek's total quality assurance approach involves understanding the product, use cases, integration with other systems, and developing a roadmap to ensure compliance with industry standards and regulations. Their IoT security and cybersecurity experts guide clients in choosing the most relevant program for their product and target markets, instilling confidence in product security. Intertek offers services such as the Cyber Assured Program, vulnerability assessments, penetration testing, testing to standards like ANSI/UL 2900 and IEC 62443, connected medical device security, industrial automated control systems security (IEC 62443), and advisory services. Intertek's expertise helps clients address cybersecurity risks and ensure the security of their IoT products.
2. Securing IoT - Build secure IoT solutions: 2-in-1
The Securing IoT: Build Secure IoT Solutions: 2-in-1 course is a comprehensive training program designed to help IoT product designers, IoT product managers, IT security professionals, and security engineers build secure and robust Internet of Things systems. The course consists of 'Fundamentals of IoT Security' and 'Security Engineering for the IoT.' The learners will delve into IoT security architectures, regulations, and standards. Privacy concerns and Privacy by Design principles and practical examples of conducting Privacy Impact Assessments are addressed. Cryptographic solutions, identity and access management, and key management solutions are explored, along with the cloud's secure connectivity, processing, and storage of data. By the end of the program, participants will have the skills to identify threats to their organization's data and IoT systems, employing design techniques, applied cryptography, and secure cloud connectivity for robust security.
3. IOT Security Professional (ICIP)
The IoT Security Professional (ICIP) program offered by ISAC is designed to provide participants with a comprehensive understanding of cyberattacks on IoT and SCADA systems. The training focuses on offensive testing techniques to better understand and combat hack and malware attacks. Participants will learn about discovering sensitive devices, network hacking via IoT, hacking smart devices, and controlling SCADA systems. The program includes case studies on malware like WannaCry and Crash Override and defensive measures like threat intelligence and endpoint protection. The course suits security researchers, forensic investigators, security teams, law enforcement agencies, and military personnel. Successful completion of the program grants a Clean Exit Professional Ethics Certification and inclusion in the National Security Database.
4. Internet of Things Security Expert Training
The Internet of Things Security Expert course offered by Cognixia is a comprehensive training program designed for professionals seeking to enhance their knowledge of IoT security. The course covers various IoT security platforms and provides hands-on training with relevant tools. It consists of three major modules: python, advanced IoT training and certification, and IoT Security. The Python module familiarizes candidates with the versatile programming language and its applications in IoT development. The Advanced IoT Training and Certification module covers IoT ecosystems' architecture, development, deployment, and security with real-life case studies. The IoT Security module focuses on securing IoT devices, covering architecture, practical attacks, vulnerability disclosure, and securing connected products. The course offers lifetime access to learning materials and round-the-clock technical support.
5. IOT Analyst Certification
One of the online IoT certification courses, the IT Analyst Certification is a 12-month program that focuses on combining IoT with Analytics to unlock valuable data from connected IoT devices. The course comprises three courses covering data acquisition, exploratory analysis, cleaning, and final analysis for IoT systems. It also teaches how advanced analytics and machine learning algorithms can be applied to build complex IoT solutions. The program is suitable for students from all backgrounds, and no prior knowledge of analytics or IoT is required, although basic quantitative skills are beneficial. After completing the curriculum and passing the certification test, students receive the IOT Analyst Certification, enabling them to process and analyze data from IoT sensors and become proficient in IoT analytics. The certification opens up opportunities in the fast-growing Big Data and Analytics industry, where IoT analytics is widely applied to predict future technology trends.
6. IOT Professional Certification
The IOT Professional Certification offered by Jigsaw Academy is a comprehensive program designed to help individuals master the implementation of IoT using Arduino. This 12-month online iot certification course uses the Arduino platform to build IoT solutions from scratch. The program consists of four courses covering various IoT aspects, including sensor-connected devices and gateways. Students will engage in hands-on exercises, real-life case studies, and a capstone project to apply their knowledge effectively. Upon completion, students receive a certification that validates their skills in building and applying IoT solutions, setting up IoT Cloud for data storage and analysis, and proficiency in Arduino programming language. The IOT Professional Certification equips individuals with the necessary skills and knowledge to excel in the high-demand field of IoT and opens up better job prospects.
7. IoT and its Applications
TCS iON Digital Learning Hub offers the 'IoT and its Applications' certificate course, providing learners with a comprehensive understanding of the fundamentals of the Internet of Things. The course spans 5 to 6 months, delivered in English through digital lectures, e-learning resources, and community-based virtual classrooms. Through industry assignments and expert-led instruction, participants gain theoretical and practical insights into IoT applications. Upon completion, learners receive a verifiable digital certificate and gain industry-level skills required for test engineers or computer programmers. This course helps learners grasp IoT theories and practical applications, offering valuable career opportunities.
Conclusion
In an era where the Internet of Things is transforming industries and revolutionizing the way, we interact with technology, ensuring the security of IoT systems has become a critical imperative. The certifications discussed in this article represent a selection of key credentials available to professionals seeking to boost their careers in the IoT industry. By obtaining these certifications, individuals can validate their expertise in IoT security, demonstrating their commitment to upholding best practices and safeguarding the integrity of connected devices and data.
As the demand for IoT security professionals continues to rise, these certifications will serve as powerful assets, opening doors to exciting opportunities and positioning individuals as trusted experts in the ever-evolving field of IoT security. By investing in these certifications, professionals can take significant strides toward advancing their careers and contributing to the secure and responsible growth of the IoT ecosystem.
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Enterprise Iot
Article | May 17, 2022
Understanding the Impact of IoT Device Management
The Internet of Things (IoT) industry is growing exponentially, with the potential to become limitless. The current range of existing and potential Internet of Things devices is in itself quite enormous. This also gives businesses an opportunity to pay more attention to the newest technologies.
In ascenario with rapidly increasing numbers of devices, manual management of devices becomes close to impossible, laced with human errors. Moreover, keeping an eye on hundreds of devices one by one to make sure they work the way they should is not an easy task to undertake.
Businesses at the outset of IoT adoption are most often unaware of why they require a device management platform.This is precisely why a device management platform is so crucial.It can effectively connect toall of theconnected devices and get the required information from them in the right way.
An effective device management platform can turn out to be the vital aspect that will define the success of any small or large IoT implementation project. Such a platform would ideally allow organizations to manage their internet-connected devices remotely.
"If you think that the internet has changed your life, think again. The IoT is about to change it all over again!" — Brendan O'Brien, Chief Architect & Co-Founder, Aria Systems.
Why Do Organizations Need an IoT Device Management Platform?
An effective IoT device management platform offers simplified provisioning, centralized management, and real-time insights into all existing devices and integrations to help organizations stay on top of their deployment.
Device management platforms help you keep a check on the growing number of devices while keeping errors at bay, with your growing number of connected devices. It would ensure that you have a clear dashboard and an alerting system as an effective supporting system. In addition, getting involved with IoT device management platforms can also help you in a number of other ways.
It acceleratestime-to-market and helps reduce costs
The management platform enables secure device on and offboarding
It also streamlines network monitoring and troubleshooting
IoT simplifies deployment and management of downstream applications
It mitigates security risks
Evaluating the Future of IoT Device Management
It is predicted that the world will have more than 100 billion IoT-connected devices by 2050. The future potential of the IoT is limitless, and the potential is not about enabling billions of devices together but leveraging the enormous volumes of actionable data thatcan automate diverse business processes.
Critical Aspects of the IoT's Future
The critical aspects of IoT predictionsare fast impacting several categories all across the globe, ranging from consumer to industrial.
IoT Companies and a Circular Economy
IoT firms are assisting in the development of a future with less waste, more energy efficiency, and increased personal autonomy. A connected device system, on the other hand, must be feedback-rich and responsive, and activities must be linked via data in order to be sustainable. Ways to achieve a responsive and actionable system include:
Extending the use cycle with predictive maintenance.
Increasing utilization and reducing unplanned downtime.
Looping the asset for reuse, remanufacture, or recycle.
Common Billing and Revenue Challenges
We are currently moving toward a future where everything from cars to household machines and home security will be sold by manufacturers as subscription services. This will result in organizations selling IoT subscriptions looking for new ways to managebilling and revenue for their business model.
Service diversity
Data monetization
Complex stakeholder network
Cost management
Cohesive IoT Deployment Strategy for the C-suite
With the future of IoTon its way to becoming the most disruptive innovation and compelling technology that will facilitate better services to customers, from a support perspective, being connected remotely with customers' devices offers considerable advantages to service organizations. However, this is also not a new concept; earlier, large organizations and data storage companies were remotely connected to their client systems using dedicated telecommunications links before the commercialization of the internet.
Using the estimates of the exponential rise in connected devices, the IoT offers a wide array of opportunities to effectively improve the industry, such as:
Consumer activity tracking includes in-store applications that assess traffic flow and purchase choices.
Manufacturing, storage, distribution, and retail operations have been optimized to increase productivity and reduce waste.
Energy, inventory, and fleet assets are all used more efficiently.
Improved situational awareness, such as vehicle warning systems
Enhanced decision-making, such as medical equipment that notifies doctorswhen a patient's health changes.
Self-parking and self-driving automobiles are examples of autonomous systems.
An interesting case study with Michelin showed that they were adding sensors to tires to better understand wear over time. This data is important for clients to know when to rotate or replace tires which saves them money and enhances safety. However, this also implies Michelin can move away from selling tires and instead lease them. Because sensor data will teach the corporation how to maintain the tires, Michelin now has a new economic incentive to have tires last as long as feasible. IoT device management plays a crucial role in effectively accumulating and processing data from all the widely distributed IoT sensors.
Conclusion
As more sectors discover the advantages linked machines can bring to their operations, IoT enterprises have a bright future ahead of them. Newer services are steadily being pushed out on top of IoT infrastructure in industries ranging from healthcare to retail, telecommunications, and even finance. Due to increasing capacity and AI, service providers will move deeper into IT and web-scale industries, enabling whole new income streams as IoT device management platforms adapt to address these obstacles.
FAQ
Why Is Device Management Crucial for the IoT?
An IoT device management platform's features may help you save time and money and increase security while also providing the critical monitoring and management tools you need to keep your devices up-to-dateand optimized for your unique application requirements.
What Impact Will the IoT Have on the Management or Administration Sectors?
IoT technology allows for increased collaboration, but it will also free up your team's time from monotonous and isolating duties. For example, routine chores may be encoded into computers, freeing up time to concentrate on higher-order tasks.
What Are the Basic Requirements for IoT Device Management?
The four essential needs for IoT Device Management are as follows.
Authentication and provisioning
Configuration and Control.
Diagnostics and monitoring
Updating and maintaining software.
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