A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things
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Abstract (arXiv)
Internet of Things (IoT) is an innovative paradigm envisioned to provide massive applications that are now part of our daily lives. Millions of smart devices are deployed within complex networks to provide vibrant functionalities including communications, monitoring, and controlling of critical infrastructures. However, this massive growth of IoT devices and the corresponding huge data traffic generated at the edge of the network created additional burdens on the state-of-the-art centralized cloud computing paradigm due to the bandwidth and resources scarcity. Hence, edge computing (EC) is emerging as an innovative strategy that brings data processing and storage near to the end users, leading to what is called EC-assisted IoT. Although this paradigm provides unique features and enhanced quality of service (QoS), it also introduces huge risks in data security and privacy aspects. This paper conducts a comprehensive survey on security and privacy issues in the context of EC-assisted IoT. In particular, we first present an overview of EC-assisted IoT including definitions, applications, architecture, advantages, and challenges. Second, we define security and privacy in the context of EC-assisted IoT. Then, we extensively discuss the major classifications of attacks in EC-assisted IoT and provide possible solutions and countermeasures along with the related research efforts. After that, we further classify some security and privacy issues as discussed in the literature based on security services and based on security objectives and functions. Finally, several open challenges and future research directions for secure EC-assisted IoT paradigm are also extensively provided.
Key facts. Cited by 9 papers in the map (data through 13 Oct 2026). First posted on arXiv 5 Aug 2020.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 3; 2026: 2.
9 papers.
- 2025Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Modelscited by 46
- 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Surveycited by 13
- 2024Octo-planner: On-device Language Model for Planner-Action Agentscited by 7
- 2025A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networkscited by 3
- 2024Creation of AI-driven Smart Spaces for Enhanced Indoor Environments -- A Surveycited by 2
- 2023Edge AI for Internet of Energy: Challenges and Perspectivescited by 1
- 2022Topics in Deep Learning and Optimization Algorithms for IoT Applications in Smart Transportationcited by 0
- 2026Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmapcited by 0
- 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directionscited by 0
- 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions27 Apr 2026
- 2026Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap13 Mar 2026
- 2025A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks26 Aug 2025
- 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey3 May 2025
- 2025Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models8 Mar 2025
- 2024Creation of AI-driven Smart Spaces for Enhanced Indoor Environments -- A Survey19 Dec 2024
- 2024Octo-planner: On-device Language Model for Planner-Action Agents26 Jun 2024
- 2023Edge AI for Internet of Energy: Challenges and Perspectives28 Nov 2023
- 2022Topics in Deep Learning and Optimization Algorithms for IoT Applications in Smart Transportation13 Oct 2022