PACED: Provenance-based Automated Container Escape Detection

Author:

Abbas Mashal1,Khan Shahpar1,Monum Abdul1,Zaffar Fareed1,Tahir Rashid2,Eyers David3,Irshad Hassaan4,Gehani Ashish4,Yegneswaran Vinod4,Pasquier Thomas5

Affiliation:

1. LUMS

2. University of Prince Mugrin

3. University of Otago

4. SRI International

5. University of British Columbia

Funder

National Science Foundation

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Reference62 articles.

1. Security Challenges in the Container Cloud

2. Loging to the Danger Zone: Race Condition Attacks and Defenses on System Audit Frameworks;paccagnella;Conference on Computer and Communications (CCS'20),2020

3. Custos: Practical Tamper-Evident Auditing of Operating Systems Using Trusted Execution

4. The W3C PROV family of specifications for modelling provenance metadata

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1. Misuse Detection and Response for Orchestrated Microservices Based Software;Lecture Notes on Data Engineering and Communications Technologies;2024

2. Container Privilege Escalation and Escape Detection Method Based on Security-First Architecture;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17

3. Querying Container Provenance;Companion Proceedings of the ACM Web Conference 2023;2023-04-30

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