Internet of things security: A top-down survey

By Djamel Eddine Kouicem, Abdelmadjid Bouabdallah, Hicham Lakhlef. Comput. Networks, 2018

507 citations recorded by the source corpus.

Abstract Internet of Things (IoT) is one of the promising technologies that has attracted a lot of attention in both industrial and academic fields these years. It aims to integrate seamlessly both physical and digital worlds in one single ecosystem that makes up a new intelligent era of Internet. This technology offers a huge business value for organizations and provides opportunities for many existing applications such as energy, healthcare and other sectors. However, as new emergent technology, IoT suffers from several security issues which are most challenging than those from other fields regarding its complex environment and resources-constrained IoT devices. A lot of researches have been initiated in order to provide efficient security solutions in IoT, particularly to address resources constraints and scalability issues. Furthermore, some technologies related to networking and cryptocurrency fields such as Software Defined Networking (SDN) and Blockchain are revolutionizing the world of the Internet of Things thanks to their efficiency and scalability. In this paper, we provide a comprehensive top down survey of the most recent proposed security and privacy solutions in IoT. We discuss particularly the benefits that new approaches such as blockchain and Software Defined Networking can bring to the security and the privacy in IoT in terms of flexibility and scalability. Finally, we give a general classification of existing solutions and comparison based on important parameters.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/8c8906e934014f03ebb7c7f217a32b0f2ba21fdd

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities (2020, background): “In [13], the authors provide a top-down survey of IoT security.”
Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020, background): “Kouicem et al. [35] present their security solutions and blockchain-based security solutions with respect to ﬁve IoT applications: Smart Grid, EHealth, Transportation, Smart city, and Manufacturing.”
Machine Learning in IoT Security: Current Solutions and Future Challenges (2019, background): “However, the cornerstone of the commercialization of IoT technology is the security and privacy guarantee as well as consumer satisfaction [7], [12], [18].”
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges (2019, background): “2018 [11] Blockchain and SDN solutions for IoT N/A Generic IoT and in-depth review of the ML- and DL-based solutions in multiple domains”
Blockchain and IoT Integration: A Systematic Survey (2018, background): “Challenges & Existing platforms [5,8], this paper Security Challenges in IoT and BC as Solution [6,12], this paper Internet of Things (IoT) Security and Stalker Attack [7], this paper (partially) Consensus (mechanisms) Taxonomy [9], this paper In contrast to work presented in [5–9, 12”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “For example, Surveys [11]–[17] reviewed extant research and classified the challenges in encryption, authentication, access control, network security and application security in IoT systems.”