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

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2025-02-05 DOI:10.1145/3716372
Ilies Benhabbour, Marc Dacier
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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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地方性:端到端网络中断-检查中间盒,问题和对策-调查
网络中间件是现代网络系统中的重要组件,根据最近的研究,它影响了大约40%的网络路径。这篇调查论文深入研究了它们的普遍存在,用20多年的发现丰富了最初的2002 RFC,并强调了它们在安全性和性能方面的影响的重要性。此外,它还根据它们的功能、目标和变化对网络中间盒进行了分类。在当今世界,网络中间件是一把双刃剑。虽然它们对网络运营很重要,但也带来了安全风险。我们提出了它们带来的各种挑战,包括它们对互联网僵化的贡献,它们在审查、监控和流量分化方面的潜力。为了让终端用户更清楚地看到它们的存在,还需要付出大量的努力。本文探讨了潜在的解决方案,从预防和检测到治疗措施。最终,我们的目标是将此调查建立为解决围绕网络中间盒概念的挑战的基础资源,从而促进该领域的进一步研究和创新。
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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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