A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT

By Jayasree Sengupta, Sushmita Ruj, S. Bit. Journal of Network and Computer Applications, 2020

703 citations recorded by the source corpus.

Abstract In recent years, the growing popularity of Internet of Things (IoT) is providing a promising opportunity not only for the development of various home automation systems but also for different industrial applications. By leveraging these benefits, automation is brought about in the industries giving rise to the Industrial Internet of Things (IIoT). IoT is prone to several cyberattacks and needs challenging approaches to achieve the desired security. Moreover, with the emergence of IIoT, the security vulnerabilities posed by it are even more devastating. Therefore, in order to provide a guideline to researchers, this survey primarily attempts to classify the attacks based on the objects of vulnerability. Subsequently, each of the individual attacks is mapped to one or more layers of the generalized IoT/IIoT architecture followed by a discussion on the countermeasures proposed in literature. Some relevant real-life attacks for each of these categories are also discussed. We further discuss the countermeasures proposed for the most relevant security threats in IIoT. A case study on two of the most important industrial IoT applications is also highlighted. Next, we explore the challenges brought by the centralized IoT/IIoT architecture and how blockchain can effectively be used towards addressing such challenges. In this context, we also discuss in detail one IoT specific Blockchain design known as Tangle, its merits and demerits. We further highlight the most relevant Blockchain-based solutions provided in recent times to counter the challenges posed by the traditional cloud-centered applications. The blockchain-related solutions provided in the context of two of the most relevant applications for each of IoT and IIoT is also discussed. Subsequently, we design a taxonomy of the security research areas in IoT/IIoT along with their corresponding solutions. Finally, several open research directions relevant to the focus of this survey are identified.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/7ae6de4bf5c17279b8e7108bc3044fc8492fa888

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Citations in the corpus

Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey (2020, background): “0 [25]–[30] Cooperative Robotics [31], [32] Smart city applications [33]–[38] Smart health system [39]–[44] Smart grid and other energy domains [45]–[54] 5G and beyond 5G/6G-enabling technologies [55]–[59] Machine Learning [60]–[64]”
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “devices carry private and valuable information of the clients [4] -[5].”
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security (2020, methodology): “In Table I, we summarize the security requirements for IoMT systems, possible attacks, and countermeasures [12].”
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020, background): “For example, the possibility of utilizing blockchain for IoT systems can be found in [14, 17–19].”
Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning (2022, background): “For more information, see https://creativecommons.org/licenses/by/4.0/ Furthermore, other key considerations in IIoT, including trustworthiness, expandability, and energy usage, must be addressed, given that legacy security ﬁxes are falling short in many cases [6].”