Privacy-Preserving Interdomain Routing at Internet Scale

Author:

Asharov Gilad1,Demmler Daniel2,Schapira Michael3,Schneider Thomas2,Segev Gil3,Shenker Scott4,Zohner Michael2

Affiliation:

1. Cornell Tech

2. TU Darmstadt

3. Hebrew University of Jerusalem

4. University of California , Berkley

Abstract

Abstract The Border Gateway Protocol (BGP) computes routes between the organizational networks that make up today’s Internet. Unfortunately, BGP suffers from deficiencies, including slow convergence, security problems, a lack of innovation, and the leakage of sensitive information about domains’ routing preferences. To overcome some of these problems, we revisit the idea of centralizing and using secure multi-party computation (MPC) for interdomain routing which was proposed by Gupta et al. (ACM HotNets’12). We implement two algorithms for interdomain routing with state-of-the-art MPC protocols. On an empirically derived dataset that approximates the topology of today’s Internet (55 809 nodes), our protocols take as little as 6 s of topology-independent precomputation and only 3 s of online time. We show, moreover, that when our MPC approach is applied at country/region-level scale, runtimes can be as low as 0.17 s online time and 0.20 s pre-computation time. Our results motivate the MPC approach for interdomain routing and furthermore demonstrate that current MPC techniques are capable of efficiently tackling real-world problems at a large scale.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DIT and Beyond: Interdomain Routing With Intradomain Awareness for IIoT;IEEE Internet of Things Journal;2023-12-01

2. Ariadne: a Privacy-Preserving Network Layer Protocol;2023 7th Cyber Security in Networking Conference (CSNet);2023-10-16

3. Homomorphic Routing;Proceedings of the 2nd ACM SIGCOMM Workshop on Future of Internet Routing & Addressing;2023-09-10

4. Edge Local Differential Privacy for Dynamic Graphs;Security and Privacy in Social Networks and Big Data;2023

5. Break the Blackbox! Desensitize Intra-domain Information for Inter-domain Routing;2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS);2022-06-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3