Security, IoT Security
Article | July 13, 2023
Physical and digital security are changing due to cloud-based IoT software, which makes it possible to combine them and use them to utilize data better. In almost every sector, data is essential to success, and security is no exception. To better understand what's going on in your business, you can combine cloud-based solutions that contain all the information on a single interface. For instance, integrating security camera feeds with cloud-based access control systems enables real-time visual identification verification.
Utilizing cloud-based IoT technology also enhances productivity and enables quick replies. Combining digital and physical security, often known as security convergence, is another technique to optimize IoT and cloud-based security solutions. To guard against internet flaws and intrusions, a cloud-based physical security system needs cybersecurity software. In a similar vein, physical security measures prevent sensitive data from getting into the wrong hands. Teams for physical and cyber security might combine to provide a more comprehensive plan of action.
Maintaining current versions of the technology you are using in your security plan is necessary for future-proofing your technology. To ensure that your cloud-based system has no vulnerabilities that could expose your company to cybersecurity risks, it is crucial to keep all software updated. Updates can be automated and carried out remotely with cloud-based software, requiring little effort on your part to keep your software current.
You have the chance to develop a security system that is future-proof when a firm adopts cloud-based IoT technologies as part of your security plan. When organizations use IoT technology, cybersecurity is a significant concern. However, combining physical and digital security lets you ensure your cloud-based system is well-protected from vulnerabilities. In addition, your security and IT teams will be better able to manage the evolving security landscape if you combine physical and digital security ideas.
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IoT Security
Article | July 17, 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.
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Industrial IoT, IoT Security
Article | July 11, 2023
For businesses, the transformative power of IoT is increasingly significant with the promise of improving operational efficiency and visibility, while reducing costs.
However, IoT does not come without risks and challenges. While concerns over security and data privacy continue to rise, the lack of IoT standards remains one of the biggest hurdles. The increasing number of legacy, single-vendor, and proprietary solutions cause problems with disparate systems, data silos and security gaps. As IoT successes become more dependent on seamless interoperability and data-sharing among different systems, we want to avoid the scenario of a fragmented market with numerous solutions that simply don’t work with each other.
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Article | April 27, 2020
Manufacturing industry or the Industrial Internet of Things has been one of the driving verticals for development of 5G technologies. Wide 5G deployement for Industrial IoT has long been in the pipeline but we might expect it to be a reality very soon.
The true success of 5G depends on the verticals as trends suggest that that Industrial IoT alone will triple the number of needed base stations globally. And many verticals will need efficient wireless connectivity to become successful. 5G has features that are specifically designed to address the needs of vertical sectors, such as network slicing and URLLC. The ultra-reliable low latency communications and massive machine type communications required by the IIoT will soon be realized.
Table of Contents:
How Will 5G Impact Industrial IoT?
5G Accelerations for IIoT
Industrial 5G
How Will 5G Benefit Industrial IoT?
IoT is a B2B application and users just want to get actionable data from their sensors and not worry about whether it’s old data or unreliable data. I think 5G changes this dynamic significantly over the long term by standardizing and simplifying the experience and interactions, and possibly engaging more of the industry to help solve IoT’s problems but also improve the total experience.
- Anshel Sag, analyst at Moor Insights & Strategy
• Data-Transfer Speeds
Any IoT is said to be commercially successful depending on how fast it can set up communications with other IoT devices, software based websites or applications, phones, and tablets. 5G promises exactly all of this with significant increase in transfer speeds.
5G is 10x faster than its LTE counterparts and allows IoT devices to communicate and share data faster than ever. All IoT devices will benefit from the faster speed of 5G with reduced lag and improved sending and receiving of data and notifications between connected devices.
• Greater Network Reliability
5G networks also offer more reliable and stable connection which is extremely important for any IoT including devices like locks, security cameras and monitoring systems that depend on real-time updates.
With reliable connectivity consumers will be the greater beneficiary.
It is however, imperative for manufactures to trust and invest in 5G compatible devices to reap the benefits of high-speed connectivity, very low latency, and a greater coverage that will arrive with the next generation network.
READ MORE:How Will the Emergence of 5G Affect Federated Learning?
5G Accelerations for IIoT
• Diversity in Industrial IoT
The opportunities that industrial IoT bring with is varied and its used cases span the spectrum from indoor to outdoor, less demanding to mission-critical, data rate from dozens of bps to gbps, device motion from fixed to mobility, and power source from button battery to high voltage.
Predictive maintenance, smart metering, asset tracking, and fleet management are some of the commonly known opportunities for IIoT, which be extended further by 5G through continued diversity and expansion.
• 5G Inspires Untapped Frontiers
Industrial IoT application areas such as mobile robot control in production automation and autonomous vehicles in open pit mining require wide mobility, low latency and mission-critical reliability. They rely on wireless access at 50ms to 1ms latency and service reliability from 5 nines to 6 nines.
Though 4G/LTE has attempted to address these areas of IIoT application it has failed due to unsatisfactory performance. With ultra-reliable and low latency connection, 5G will take industrial IoT to unconquered spaces.
• Managing the Enterprise 5G Network
Typically, enterprise IT is responding to the business demand from Operational Technology (OT) and mandates security, integration, visibility, control, and compatibility. In this scenario, 5G is not about “what,” but about “how”. IT needs to consider the right approach to bring 5G to the enterprise and decide whether to co-manage with the service provider (SP) or self-manage. The experience of IT in managing Industrial Ethernet and Wi-Fi may not hold when it comes to 5G. IT will likely require OT’s partnership to address complexity, security, integration, and other new challenges that 5G presents.
Industrial 5G
The potential for industrial 5G huge as it enables whole new business models.
Industrial IoT has a core requirement of the ability to connect sensors, devices, software applications, production process, workers and consumers. The connectivity requires to be seamless vertical and horizontal integrations of all layers of automation pyramids that increases operational efficiency of the plant floor and the supply chain by optimal use of data, information and analytics. This can be improved by five key elements:
• Improved Connectivity
• Availability
• Low Latency
• Flexibility
• Speed
Industrial 5G will impact these areas of the manufacturing industry to guide the success of Industrial IoT.
Industrial 5G will play a key role in helping industrial users achieve the goals of Industrial IoT. 5G offers wireless communications services with reduced latency, increased connection density, and improved flexibility compared to the current 4G generation. 5G technology has a theoretical downlink peak speed of 20 Gbps (gigabits per second), which is about 20 times faster than the current generation.
The key is to start building IoT devices with broadly adopted operating systems, built-in security all the way down to the silicon, verifiable and updatable firmware, and mainstream application development tooling.
- Anshel Sag, analyst at Moor Insights & Strategy
The push and pull in achieving 5G success in IoT will be there until technology providers and end users work together to set up a consensus on standardization. The success will also depend on best-of-breed approach allowing the introduction of new technology over the lifecycle. Software and system integration will also be important attributes to a successful 5G deployment.
READ MORE:How Will IoT Revolutionize Pharmaceutical Manufacturing?
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