Detection of Potentially Malicious Activities in CI/CD Pipelines Based on Build Agent Behavior Analysis

IF 0.5 Q4 AUTOMATION & CONTROL SYSTEMS
E. V. Zhukovskii, V. A. Bugaev, A. A. Lyrchikov
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引用次数: 0

Abstract

The problem of detecting potentially malicious activity in CI/CD pipelines during the build process using build agent behavior analysis is considered. The limitations of pipeline security tools related to threat detection during builds and promising approaches for detecting malicious activity are identified. A method for detecting potentially malicious activity in pipelines based on behavioral analysis using eBPF technology for build agent profiling is proposed. The accuracy of threat detection is evaluated on a dataset containing the implementation of malicious scenarios associated with the compromise of the build process. The obtained results can be used to build agent protection tools and for further research in the field of CI/CD pipeline security.

Abstract Image

基于构建代理行为分析的CI/CD管道中潜在恶意活动检测
考虑了在构建过程中使用构建代理行为分析来检测CI/CD管道中潜在的恶意活动的问题。指出了管道安全工具在构建过程中与威胁检测相关的局限性,以及用于检测恶意活动的有前途的方法。提出了一种基于行为分析的管道中潜在恶意活动检测方法,该方法采用eBPF技术进行构建代理分析。威胁检测的准确性在包含与构建过程的危害相关的恶意场景实现的数据集上进行评估。所得结果可用于构建代理保护工具,并为CI/CD管道安全领域的进一步研究提供依据。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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