Security and Privacy for Mobile Edge Caching: Challenges and Solutions
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Abstract (arXiv)
Mobile edge caching is a promising technology for the next-generation mobile networks to effectively offer service environment and cloud-storage capabilities at the edge of networks. By exploiting the storage and computing resources at the network edge, mobile edge caching can significantly reduce service latency, decrease network load, and improve user experience. On the other hand, edge caching is subject to a number of threats regarding privacy violation and security breach. In this article, we first introduce the architecture of mobile edge caching, and address the key problems regarding why, where, what, and how to cache. Then, we examine the potential cyber threats, including cache poisoning attacks, cache pollution attacks, cache side-channel attacks, and cache deception attacks, which result in huge concerns about privacy, security, and trust in content placement, content delivery, and content usage for mobile users, respectively. After that, we propose a service-oriented and location-based efficient key distribution protocol (SOLEK) as an example in response to efficient and secure content delivery in mobile edge caching. Finally, we discuss the potential techniques for privacy-preserving content placement, efficient and secure content delivery, and trustful content usage, which are expected to draw more attention and efforts into secure edge caching.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Dec 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1; 2025: 1.
5 papers.
- 2024AntibotV: A Multilevel Behaviour-based Framework for Botnets Detection in Vehicular Networkscited by 3
- 2021DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Schedulingcited by 1
- 2022Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithmcited by 0
- 2022Topics in Deep Learning and Optimization Algorithms for IoT Applications in Smart Transportationcited by 0
- 2025VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distributioncited by 0
- 2025VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution25 Feb 2025
- 2024AntibotV: A Multilevel Behaviour-based Framework for Botnets Detection in Vehicular Networks3 Jul 2024
- 2022Topics in Deep Learning and Optimization Algorithms for IoT Applications in Smart Transportation13 Oct 2022
- 2022Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm3 Feb 2022
- 2021DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling20 Jan 2021