ENDEMIC: End-to-End Network Disruptions - Examining Middleboxes, Issues, and Countermeasures - A Survey

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Ilies Benhabbour, Marc Dacier
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引用次数: 0

Abstract

Network middleboxes are important components in modern networking systems, impacting approximately 40% of network paths according to recent studies [1]. This survey paper delves into their endemic presence, enriches the original 2002 RFC with over two decades of findings, and emphasizes the significance of their impact in terms of security and performance. Furthermore, it categorizes network middleboxes based on their functions, objectives, and alterations. In today’s world, network middleboxes emerge as a dual-edged sword. While important for network operations, they also pose security risks. We present the various challenges they introduce, including their contribution to Internet ossification, their potential for censorship, monitoring, and traffic differentiation. Substantial effort remains to make their presence more visible to end users. This paper explores potential solutions, ranging from prevention and detection to curative measures. Ultimately, we aim to establish this survey as a foundational resource for addressing challenges revolving around the notion of network middleboxes, thereby fostering further research and innovation in this area.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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