Environment-Related Information Security Evaluation for Intrusion Detection Systems

Ran Cheng; Yueming Lu; Jiefu Gan

Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II

Research Article

Environment-Related Information Security Evaluation for Intrusion Detection Systems

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@INPROCEEDINGS{10.1007/978-3-319-78139-6_38,
    author={Ran Cheng and Yueming Lu and Jiefu Gan},
    title={Environment-Related Information Security Evaluation for Intrusion Detection Systems},
    proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II},
    proceedings_a={CHINACOM},
    year={2018},
    month={4},
    keywords={Intrusion detection system Precision Recall Background traffic},
    doi={10.1007/978-3-319-78139-6_38}
}

Ran Cheng
Yueming Lu
Jiefu Gan
Year: 2018
Environment-Related Information Security Evaluation for Intrusion Detection Systems
CHINACOM
Springer
DOI: 10.1007/978-3-319-78139-6_38

Ran Cheng¹^,*, Yueming Lu¹^,*, Jiefu Gan²^,*

1: Beijing University of Posts and Communications, Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education
2: China Information Security Certification Center

*Contact email: hscrws@bupt.edu.cn, ymlu@bupt.edu.cn, gjfsecure@163.com

Abstract

The features of actively detection of intrusion detection systems (IDSs) are crucial in cyberspace security evaluation. Most of existing evaluation models are insufficient for selecting proper IDS in varying situations since these methods only base on detection rate and false alarm ratio. The paper proposes an environment-related information security evaluation model for IDSs, and applies the model in a practical IDS evaluation process. Compared to existing ones, the proposed model considers two more factors: background traffic and workload, and thus can achieve a more objective and comprehensive evaluation result for IDSs.

Keywords: Intrusion detection system Precision Recall Background traffic

Published: 2018-04-30
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-78139-6_38