Enterprise Iot
Article | July 20, 2023
Explore the IoT security solutions for critical issues and proactive solutions for the safe implementation of connected devices. Delve into cross-domain interactions for secure data storage.
Contents
1. Introduction
1.1 Significance of IoT Security for Safe Implementation
2. IoT Security Landscape
2.1 Emerging Threats in IoT Environments
2.2 Importance of Proactive Security Measures
3. Challenges Posed in IoT Systems
3.1 Cross-Domain Interactions
3.2 Denial of Service (DoS) Attacks
3.3 Insecure Interfaces and APIs
3.4 Vulnerable Third-Party Components
3.5 Safeguarding Data Storage and Retention
4. Solutions to Prevent Threats
4.1 Secure Integration and Communication
4.2 Traffic Monitoring and Analysis
4.3 Robust Authentication and Authorization Protocols
4.4 Patch Management and Vulnerability Monitoring
4.5 Access Control and User Authentication
5 Conclusion
1. Introduction
1.1 Significance of IoT Security for Safe Implementation
The significance of IoT connectivity and security for safe implementation is paramount in today's interconnected world. Some essential points highlight its importance at both the business and advanced levels. IoT devices collect and transmit vast amounts of sensitive data. Without proper security measures, this data can be intercepted, leading to breaches of privacy and potential misuse of personal or corporate information. Implementing robust IoT security ensures the protection of data throughout its lifecycle. Safeguarding Critical Infrastructure is crucial as Many IoT deployments are integrated into critical infrastructure systems such as power grids, transportation networks, and healthcare facilities. A breach in the security of these interconnected systems can have severe consequences, including disruption of services, financial losses, and even threats to public safety. IoT security helps mitigate these risks by preventing unauthorized access and potential attacks.
Mitigating financial losses, ensuring operational continuity and preventing IoT botnets and DDoS attacks contribute to security as IoT devices are often integrated into complex ecosystems, supporting various business operations. In recent years, compromised IoT devices have been used to create massive botnets for launching distributed denial-of-service (DDoS) attacks. These attacks can overwhelm networks and cause significant disruptions, affecting the targeted businesses and the internet infrastructure as a whole. Robust IoT security measures, such as strong authentication and regular device updates, can help prevent these attacks.
2. IoT Security Landscape
2.1 Emerging Threats in IoT Environments
Botnets and DDoS Attacks
Botnets, consisting of compromised IoT devices, can be leveraged to launch massive distributed denial-of-service (DDoS) attacks. These attacks overwhelm networks, rendering them inaccessible and causing disruptions to critical services.
Inadequate Authentication and Authorization
Weak or non-existent authentication and authorization mechanisms in IoT devices can allow unauthorized access to sensitive data or control of connected systems. This can lead to unauthorized manipulation, data breaches, and privacy violations.
Firmware and Software Vulnerabilities
IoT devices often rely on firmware and software components that may contain vulnerabilities. Attackers can exploit these weaknesses to gain unauthorized access, execute malicious code, or extract sensitive information.
Lack of Encryption and Data Integrity
Insufficient or absent encryption mechanisms in IoT communications can expose sensitive data to interception and tampering. Without data integrity safeguards, malicious actors can modify data transmitted between devices, compromising the integrity and reliability of the system.
Physical Attacks and Tampering
IoT devices deployed in public or accessible locations are vulnerable to physical attacks. These attacks include tampering, theft, or destruction of devices, which can disrupt services, compromise data, or manipulate the functioning of the IoT ecosystem.
Insider Threats
Insiders with authorized access to IoT systems, such as employees or contractors, may abuse their privileges or inadvertently introduce vulnerabilities. This can include unauthorized access to sensitive data, intentional manipulation of systems, or unintentional actions compromising security.
Supply Chain Risks
The complex and global nature of IoT device supply chains introduces potential risks. Malicious actors can exploit vulnerabilities in the manufacturing or distribution process, implanting backdoors or tampering with devices before they reach end-users.
2.2 Importance of Proactive Security Measures
Security measures are vital for ensuring the safety and reliability of IoT environments. Organizations can mitigate risks and stay ahead of potential vulnerabilities and threats by taking a proactive approach. These measures include conducting regular vulnerability assessments, implementing robust monitoring and detection systems, and practicing incident response preparedness. Proactive security measures also promote a 'Security by Design' approach, integrating security controls from the outset of IoT development. Compliance with regulations, safeguarding data privacy, and achieving long-term cost savings are additional benefits of proactive security. Being proactive enables organizations to minimize the impact of security incidents, protect sensitive data, and maintain their IoT systems' secure and reliable operation.
3. Challenges Posed in IoT Systems
3.1 Cross-Domain Interactions
Cross-domain interactions refer to the communication and interaction between IoT devices, systems, or networks that operate in different domains or environments. These interactions occur when IoT devices need to connect and exchange data with external systems, platforms, or networks beyond their immediate domain. Incompatibilities in protocols, communication standards, or authentication mechanisms can create vulnerabilities and potential entry points for attackers.
3.2 Denial of Service (DoS) Attacks
Denial of Service attacks are malicious activities aimed at disrupting or rendering a target system, network, or service unavailable to its intended users. In a DoS attack, the attacker overwhelms the targeted infrastructure with an excessive amount of traffic or resource requests, causing a significant degradation in performance or a complete service outage. Protecting IoT devices and networks from DoS attacks that aim to disrupt their normal operation by overwhelming them with excessive traffic or resource requests becomes challenging. The issue here lies in distinguishing legitimate traffic from malicious traffic, as attackers constantly evolve their techniques.
3.3 Insecure Interfaces and APIs
Insecure interfaces and application programming interfaces (APIs) refer to vulnerabilities or weaknesses in the interfaces and APIs used by IoT devices for communication and data exchange. An interface is a point of interaction between different components or systems, while an API allows applications to communicate with each other. Insecure interfaces and APIs can be exploited by attackers to gain unauthorized access to IoT devices or intercept sensitive data. Ensuring secure authentication and authorization mechanisms, proper encryption of data in transit, and secure storage of API keys and credentials, thus, becomes a challenge.
3.4 Vulnerable Third-Party Components
Vulnerable third-party components refer to software, libraries, frameworks, or modules developed and maintained by external parties and integrated into IoT devices or systems. These components may contain security vulnerabilities that attackers can exploit to gain unauthorized access, manipulate data, or compromise the overall security of the IoT ecosystem. Pain points arise from the challenge of assessing the security of third-party components, as organizations may have limited visibility into their development processes or dependencies.
3.5 Safeguarding Data Storage and Retention
Data storage and retention refers to the management and security of data collected and generated by IoT devices throughout its lifecycle. Safeguarding stored IoT data throughout its lifecycle, including secure storage, proper data retention policies, and protection against unauthorized access or data leakage, poses a threat. Ensuring secure storage infrastructure, protecting data at rest and in transit, and defining appropriate data retention policies include safeguarding data and maintaining the privacy of stored data. Failure to implementing strong encryption, access controls, and monitoring mechanisms to protect stored IoT data leads to this issue.
4. Solutions to Prevent Threatsc
4.1 Secure Integration and Communication
Implement secure communication protocols, such as transport layer security (TLS) or virtual private networks (VPNs), to ensure encrypted and authenticated communication between IoT devices and external systems. Regularly assess and monitor the security posture of third-party integrations and cloud services to identify and mitigate potential vulnerabilities. Organizations need to invest time and resources in thoroughly understanding and implementing secure integration practices to mitigate the risks associated with cross-domain interactions.
4.2 Traffic Monitoring and Analysis
Deploy network traffic monitoring and filtering mechanisms to detect and block suspicious traffic patterns. Implement rate limiting, traffic shaping, or access control measures to prevent excessive requests from overwhelming IoT devices. Utilize distributed denial of service (DDoS) mitigation services or hardware appliances to handle volumetric attacks. Organizations must deploy robust traffic analysis and anomaly detection mechanisms to identify and mitigate DoS attacks promptly. Additionally, scaling infrastructure and implementing load-balancing mechanisms become essential to handle sudden surges in traffic during an attack.
4.3 Robust Authentication and Authorization Protocols
Apply secure coding practices and implement strong authentication and authorization mechanisms for interfaces and APIs. Utilize secure communication protocols (e.g., HTTPS) and enforce strict access controls to prevent unauthorized access. Regularly update and patch interfaces and APIs to address any known vulnerabilities. Organizations must conduct regular security audits of their interfaces and APIs, implement strong access controls, and regularly update and patch vulnerabilities to address these effectively.
4.4 Patch Management and Vulnerability Monitoring
Conduct thorough security assessments of third-party components before integration, verifying their security track record and ensuring they are regularly updated with security patches. Establish a process for monitoring and addressing vulnerabilities in third-party components, including timely patching or replacement. Establishing strict vendor evaluation criteria, conducting regular security assessments, and maintaining an up-to-date inventory of third-party components can help address these issues and mitigate the risks associated with vulnerable components.
4.5 Access Control and User Authentication
Encrypt stored IoT data to protect it from unauthorized access or leakage. Implement access controls and user authentication mechanisms to restrict data access based on role or privilege. Establish data retention policies that comply with relevant regulations and securely dispose of data when no longer needed. Clear data retention policies should be established, specifying how long data should be stored and when it should be securely deleted or anonymized to minimize data leakage risks.
It's important to note that these solutions should be tailored to specific organizational requirements and constantly evaluated and updated as new threats and vulnerabilities emerge in the IoT security landscape.
5. Conclusion
Ensuring the safe implementation of IoT requires overcoming various security challenges through proactive measures and a comprehensive approach. By implementing proactive security measures, organizations can mitigate risks and maintain the safety and reliability of IoT environments. Overcoming these challenges requires organizations to invest in certain integration practices, traffic analysis, authentication mechanisms, encryption protocols, and vendor evaluation criteria. Overcoming IoT security challenges for safe implementation necessitates a proactive and comprehensive approach encompassing vulnerability management, monitoring and detection, incident response preparedness, secure design practices, compliance with regulations, and robust data storage and retention mechanisms.
The emergence in IoT security encompasses the incorporation of machine learning and AI for improved threat detection, the application of blockchain for secure transactions and device authentication, the integration of security measures at the edge through edge computing, the establishment of standardized protocols and regulatory frameworks, the adoption of advanced authentication methods, and the automation of security processes for efficient IoT security management. These trends aim to address evolving risks, safeguard data integrity and privacy, and enable IoT systems' safe and secure implementation.
Read More
Security, IoT Security
Article | July 13, 2023
Explore the emerging complexities of IoT data governance with 7 key challenges to tackle. Address data privacy, security, and ethical concerns, empowering your business for success in 2023 and beyond.
Contents
1 The Case for Maintaining IoT Data Governance
2 Challenges of IoT Data Governance
2.1 Lack of Organizational Commitment
2.2 Data Privacy Concerns
2.3 Lack of Endpoint Security for IoT Devices
2.4 Issues with IoT Device Authentication
2.5 Increasing Volume of Unstructured Data
2.6 Unethical Use of IoT Data
2.7 Inadequate Data Governance Protocols
3 Addressing IoT Data Governance Challenges
3.1 Security by Design
3.2 Awareness Initiatives
3.3 Standardized Data Governance Policies
4 Conclusion
1 The Case for Maintaining IoT Data Governance
The growing use of IoT devices across various industries has caused a surge in data volume. Most of these devices store sensitive company data, which plays a crucial role in business operations but can have dire consequences if it falls into the wrong hands. Thus, companies need to understand what is IoT governance and its implementation to safeguard sensitive data from unauthorized access and malicious exploitation.
2 Top Challenges in IoT Data Governance for Businesses
2.1 Lack of Organizational Commitment
Organizational commitment is essential for effective IoT data governance. There needs to be a clear purpose and goals regarding data governance that are communicated to all stakeholders. Not focusing on organizational commitment can result in a lack of alignment between the organization's goals and the IoT data governance strategy, as well as uncertainty about ownership and accountability for data governance across the organization.
2.2 Data Privacy Concerns
Ensuring data privacy is a significant concern when implementing IoT data management to maintain IoT data governance security. With the vast amount of data generated by IoT devices, there is an increased risk of personal and sensitive data being compromised. Therefore, it is crucial to identify potential vulnerabilities, mitigate the risk of data privacy breaches in IoT environments, and anonymize user data for consumer devices.
2.3 Lack of Endpoint Security for IoT Devices
IoT devices are often designed with limited processing power and memory, and as such, many connected devices do not have built-in security features. This makes them attractive targets for hackers seeking to access confidential data or disrupt operations. Without proper endpoint security measures, IoT devices can be compromised, leading to data breaches, network downtime, and other security incidents that can compromise the entire system's integrity.
2.4 Issues with IoT Device Authentication
When IoT devices are designed without proper authentication mechanisms, it can be challenging to verify their identities. This results in possible unauthorized access, data breaches, and other security incidents. To supplement IoT data management practices, companies must implement secure authentication protocols specifically designed for IoT environments, such as device certificates, digital signatures, and multi-factor authentication, to maintain IoT data governance.
2.5 Increasing Volume of Unstructured Data
IoT devices generate vast amounts of data in various formats and structures, including text, images, audio, and video, which can be difficult to process, manage, and analyze. This data is often stored in different locations and formats, making it challenging to ensure quality and consistency. Moreover, this flood of unstructured data can contain sensitive information that must be protected to comply with regulations and standards. For effective IoT data governance, it is necessary to implement data classification, metadata management, and data quality management to make sense of unstructured data.
2.6 Unethical Use of IoT Data
IoT devices collect data that can be sensitive and personal, and misuse can lead to various negative consequences. Data from IoT devices can be used to develop insights, but it must be handled carefully to avoid privacy violations, discrimination, or other negative consequences. Ensuring data ethics requires organizations to consider the potential impacts of their data collection and use practices on various stakeholders. This involves addressing issues such as data privacy, data ownership, transparency, and bias in IoT data analytics.
2.7 Inadequate Data Governance Protocols
Without proper data governance protocols, IoT data may be inaccurate, incomplete, or difficult to access or analyze, reducing the effectiveness of IoT systems and limiting the potential benefits they can provide. Additionally, inadequate data governance protocols can lead to security and privacy vulnerabilities, potentially exposing sensitive data to unauthorized access or theft. This can result in legal and regulatory penalties, reputational damage, and a loss of customer trust.
3 Addressing IoT Data Governance Challenges
3.1 Security by Design
This approach involves integrating security and governance considerations into the design and development of IoT systems from the outset. This helps minimize vulnerabilities, prevent breaches that may compromise the confidentiality, integrity, and availability of IoT data, and help maintain IoT data governance. In addition, by prioritizing security in the design phase, organizations can implement security controls and features tailored to their IoT systems' specific needs, which can help prevent unauthorized access, manipulation, or theft of IoT data.
3.2 Awareness Initiatives
IoT data governance challenges can arise due to an improperly trained workforce that may not recognize the purpose and benefits of data governance practices. Awareness initiatives can help organizations develop a culture of security and privacy. These initiatives can educate employees and stakeholders about the risks and best practices associated with IoT data governance, including the importance of data security, privacy, and ethical considerations. By raising awareness of these issues, organizations can promote a culture of responsible data management, encourage stakeholders to adhere to data governance policies and procedures, and reduce the risk of human error or intentional misconduct that could compromise IoT data.
3.3 Standardized Data Governance Policies
Collaboration between local, regional, and federal governments and businesses is essential to establishing frameworks for implementing IoT and related technologies within their jurisdictions. Cooperation between governments and enterprises is crucial for implementing a standardized IoT data governance policy. This will protect end-users by mandating basic standards in procurement processes and creating regulations and guidelines that promote responsible data governance.
4 IoT Data Governance: Future Outlook
Data is one of the most valuable resources for organizations today, and addressing the problem of IoT data governance will ensure that the IoT of enterprises is used effectively and responsibly. Straits Research reported that the worldwide data governance market had a worth of USD 2.1 billion in 2021 and is projected to reach an estimated USD 11.68 billion by 2030. IoT devices are a key driving factor behind the growth of the data governance market, and as the amount of data generated and the number of devices grows, so will the complexity of data governance. By maintaining strong data governance policies and tracking changes in policies and best practices, businesses can ensure compliance and maintain trust in the long run.
Read More
Enterprise Iot
Article | May 11, 2023
2022 looks bright for power optimization! The vibrant research and development in Internet of Things (IoT) is fueling the expansion of wireless monitoring solutions and enabling giant leaps in terms of low-power design. A longer lifetime for your batteries, and thus for your device, is a dream about to come true.
We have gathered some of the most notable power optimization trends that are getting us all excited for 2022…
5G, the next era of broadband cellular networks will offer improved power saving capabilities
The next wave of wider 5G cellular technology is designed to support various new highly challenging industrial use cases. These usually require increased hardware complexity and more processing, together with higher processing power. These requirements can raise power consumption quite significantly.
Smart power consumption and energy efficiency are thus becoming keys for the success of these applications and 5G technology.To that extent, 5G New Radio (NR) has progressed swiftly. The new 3GPP™ release is designed to significantly improve the performance, flexibility, scalability, and efficiency of current mobile networks. Improved power saving features now allow IoT developers to get the most out of the available battery capacity. This could make all the difference for new IoT use cases and efficiencies.
A new generation of sensors are optimized for low power technologies
New families of ‘breakthrough’ sensors, based on anultra-low power architectureare optimized for use in compact wireless devices. These sensors offer a richer set of functionalities and can be combined to create new insights (sensor fusion). One of the greatest challenges facing developers of these small form-devices is power consumption. Aware of these limitations, hardware manufacturers have been working hard to address them. Integrated circuit designs and techniques are now using less power while smart processing capabilities are enabling the sensors to intelligently manage sensing functionalities,delivering ultra-low power performance for best-in-class power consumption. The use of advanced Low Energy Bluetooth and wireless protocols (e.g. Bluetooth Low Energy (BLE) or ZigBee Green Power) also allows the transmission of data to the gateway more efficiently compared to prior solutions, opening new possibilities for developers.
Big Data, Analytics, Machine Learning and Edge computing are picking up the pace
The explosion in data volume and diversity is forcing organizations to rethink the way they process the information. Indeed, capturing, sending and processing the information in the cloud can be taxing for the network, the storage and the computing infrastructures which demands more processing power, hence the need to keep the transmission window as short as possible.
This has led to the development of advanced devices capable of collecting, processing and storing data autonomously before the data is sent to the servers. This concept is calledEdge computing. By reducing the need for data to be streamed through the networks, diminishing computing and processing costs,Edge computing contributes to optimizing power performance, whilst delivering quality data in a more sustainable way.
The rise of DevOps and new IoT Device Management platforms are contributing to better efficiency and better devices
The rise ofDevOpshas been swift. Derived from Development and Operations, ‘DevOps’ teams are responsible for making sure that the infrastructure is being maintained properly.With the help of IoT Device Management platforms—which are a central part of today’s IoT ecosystems— DevOps teams can better manage, scale and operate their fleet of devices remotely and reduce long-term operational costs.One of the areas that benefits from the rise of DevOps implementation is power supply optimization, as more efficient protocols such as Lightweight Machine to Machine (LwM2M) allow for device and battery monitoring, remote device actions and faster communication.
Harvesting technologies are becoming more effective
Power harvesting technologies include processes where energy from ambient sources such as the sun, temperature, movement or wind, is captured and stored to power wireless autonomous devices. Now gaining experience,harvesting technologies can exploit natural resources better than ever before.
As a result,the gap between the power requirements of embedded systems and the energy generated by energy harvesting systems is finally closing. Industrial applications for these technologies are still very limited, but coupled to efficient rechargeable batteries, they can present new opportunities for devices deployed in wild remote areas.
Power optimization tools are becoming increasingly exhaustive and reliable
Battery optimization is everyone's business and needs to be considered throughout the overall system performance analysis, from prototyping to deployment and on toward maintenance cycles.
Several innovating tools haveappeared on the market over the past few years and developers have now access toa rich ecosystem of tools to analyze their overall system performance.
Wisebatt for Saft for example can help creating a virtual prototype and simulate its consumption.Deutsche Telekom’s IoT Solution Optimizergoes even further. You can model the complete system to identify potential energy consumption issues or leaks. The system can not only recommend the right combination of power saving features based on your use case, but also can help you visualize how communication payload size, protocol use and communication frequency impact your battery life.
When at the prototype stage,Qoitec Otii solution measures in real time the consumption of your device at various temperatures, up to the measurement of the firmware and hardware operations without the need for expensive testing. These tools are constantly enhanced and improved to deliver better analysis and more accurate data.
With an increased awareness from IoT developers of the stakes of power consumption and the growing rate of low-power innovations, batteries are now able to outlive the devices they’re in. This opens the doors tomany new markets and applications and above all to more sustainable consumption patterns. When we told you the future looks bright, we weren’t joking!
Read More
Industrial IoT, IoT Security
Article | July 12, 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.
Read More