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Shouyin Xu

dblp:378/5501 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0006-7095-600XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Systems and software security · 100%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › isolation
container isolation
0.812024
Condo: Enhancing Container Isolation Through Kernel Permission Data Protection · IEEE Trans. Inf. Forensics Secur. 2024
Systems and software security
memory safety
0.812024
Condo: Enhancing Container Isolation Through Kernel Permission Data Protection · IEEE Trans. Inf. Forensics Secur. 2024
Systems and software security
operating system security
0.812024
Condo: Enhancing Container Isolation Through Kernel Permission Data Protection · IEEE Trans. Inf. Forensics Secur. 2024
Operating systems › virtualization
OS-level virtualization
0.212024
Condo: Enhancing Container Isolation Through Kernel Permission Data Protection · IEEE Trans. Inf. Forensics Secur. 2024
Operating systems
virtualization
0.212024
Condo: Enhancing Container Isolation Through Kernel Permission Data Protection · IEEE Trans. Inf. Forensics Secur. 2024

Methods — techniques the papers use, named apart from their topics

kernel permission data protection · 1.5
YearPublicationVenuePosition
2024 Condo: Enhancing Container Isolation Through Kernel Permission Data Protection
abstract
Container technology is widely adopted due to its features such as light weight and ease of rapid deployment. However, as an OS-level virtualization mechanism, container isolation relies on the kernel’s security mechanisms and the kernel permission data (usually non-control flow data) used by these mechanisms. None of the existing mitigation schemes for non-control flow data attacks provide an effective and practical solution to container security since they either trigger too much overhead, have limited effectiveness over attacks launched in specific ways, or can only be used to protect some specific kernel data. In addition, none of them accurately identify the kernel data associated with container isolation. In this paper, we provide a solution called Condo that enhances container isolation by protecting the associated kernel permission data. We first present a generic non-control flow kernel data protection mechanism that protects different types of kernel data uniformly with low overhead and is not limited by attack methods or data types. We then demystify the models of various kernel access control mechanisms in the container environment, and identify the subject and object permission data that are critical to container isolation. Finally, we provide a solution named Condo to enhance container isolation, which is completely transparent to the existing container ecosystem, including containerized applications and container management/orchestration tools such as Docker. Experimental results show that Condo can effectively reduce the compromises of container isolation due to memory corruption attacks with an acceptable overhead.
Shouyin Xu, Yuewu Wang, Lingguang Lei, Kun Sun 0001, Jiwu Jing, Jie Wang 0138
IEEE Trans. Inf. Forensics Secur.1