Optimus: association-based dynamic system call filtering for container attack surface reduction

Author:

Yang Seungyong,Kang Brent Byunghoon,Nam Jaehyun

Abstract

AbstractWhile container adoption has witnessed significant growth in facilitating the operation of large-scale applications, this increased attention has also attracted adversaries who exploit numerous vulnerabilities present in contemporary containers. Unfortunately, existing security solutions largely overlooked the need to restrict container access to the shared host kernel, particularly exhibiting critical limitations in enforcing the least privilege for containers during runtime. Hence, we propose Optimus, an automated and comprehensive system that confines container operations and governs their interactions with the host kernel using an association-based system call filtering. Optimus efficiently identifies the essential system calls required by containers and enhances their security posture by dynamically enforcing the minimal set of system calls for each container during runtime. This is achieved through (1) lightweight system call monitoring leveraging eBPF, (2) system call validation via association analysis, and (3) dynamic system call filtering by adopting covert container renewal. Our evaluation shows that Optimus effectively minimizes the necessary system calls for containers while maintaining their serviceability and operational efficiency during runtime.

Funder

Ministry of Science and ICT, South Korea

Publisher

Springer Science and Business Media LLC

Reference73 articles.

1. Abubakar M, Ahmad A, Fonseca P, Xu D (2021) Shard: fine-grained kernel specialization with context-aware hardening. In: Proceedings of the Security Symposium, USENIX

2. Agadakos I, Jin D, Williams-King D, Kemerlis VP, Portokalidis G (2019) Nibbler: Debloating binary shared libraries. In: Proceedings of the Annual Computer Security Applications Conference, ACM

3. Agrawal R, Srikant R, et al (1994) Fast algorithms for mining association rules. In: Proceedings of the International Conference on Very Large Data Bases, Citeseer

4. Apache Group (1997) Apache http benchmarking tool. https://httpd.apache.org/docs/2.4/programs/ab.html. Accessed 03/2021.

5. Aqua Security. 2021 cloud native security survey reveals runtime knowledge gap. https://www.aquasec.com/news/cloud-native-runtime-security-survey. Accessed 05/2021.

Cited by 1 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

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