Request pattern change-based cache pollution attack detection and defense in edge computing

Bibliographic Details
Title: Request pattern change-based cache pollution attack detection and defense in edge computing
Authors: Junwei Wang, Xianglin Wei, Jianhua Fan, Qiang Duan, Jianwei Liu, Yangang Wang
Source: Digital Communications and Networks, Vol 9, Iss 5, Pp 1212-1220 (2023)
Publisher Information: KeAi Communications Co., Ltd., 2023.
Publication Year: 2023
Collection: LCC:Information technology
Subject Terms: Mobile edge computing, Cache pollution attack, Flash crowd, Information technology, T58.5-58.64
More Details: Through caching popular contents at the network edge, wireless edge caching can greatly reduce both the content request latency at mobile devices and the traffic burden at the core network. However, popularity-based caching strategies are vulnerable to Cache Pollution Attacks (CPAs) due to the weak security protection at both edge nodes and mobile devices. In CPAs, through initiating a large number of requests for unpopular contents, malicious users can pollute the edge caching space and degrade the caching efficiency. This paper firstly integrates the dynamic nature of content request and mobile devices into the edge caching framework, and introduces an eavesdropping-based CPA strategy. Then, an edge caching mechanism, which contains a Request Pattern Change-based Cache Pollution Detection (RPC2PD) algorithm and an Attack-aware Cache Defense (ACD) algorithm, is proposed to defend against CPAs. Simulation results show that the proposed mechanism could effectively suppress the effects of CPAs on the caching performance and improve the cache hit ratio.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2352-8648
Relation: http://www.sciencedirect.com/science/article/pii/S2352864822000402; https://doaj.org/toc/2352-8648
DOI: 10.1016/j.dcan.2022.03.019
Access URL: https://doaj.org/article/dbaac4d4be054ae28f5f022b83b0f9d4
Accession Number: edsdoj.baac4d4be054ae28f5f022b83b0f9d4
Database: Directory of Open Access Journals
More Details
ISSN:23528648
DOI:10.1016/j.dcan.2022.03.019
Published in:Digital Communications and Networks
Language:English