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Generating abnormal industrial control network traffic for intrusion detection system testing
  • Song, Joo Yeop ;
  • Lee, Woomyo ;
  • Yun, Jeong Han ;
  • Park, Hyunjae ;
  • Kim, Sin Kyu ;
  • Choi, Young June
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Publication Year
2018-01-01
Journal
IFIP Advances in Information and Communication Technology
Publisher
Springer New York LLC
Citation
IFIP Advances in Information and Communication Technology, Vol.542, pp.265-281
Keyword
Anomaly detectionIndustrial control systemsTraffic generation
Mesh Keyword
Anomaly based intrusion detection systemsAnomaly detectionAnomaly-based intrusion detectionExtensive testingIndustrial control systemsIndustrial controlsIntrusion Detection SystemsTraffic generation
All Science Classification Codes (ASJC)
Information Systems and Management
Abstract
Industrial control systems are widely used across the critical infrastructure sectors. Anomaly-based intrusion detection is an attractive approach for identifying potential attacks that leverage industrial control systems to target critical infrastructure assets. In order to analyze the performance of an anomaly-based intrusion detection system, extensive testing should be performed by considering variations of specific cyber threat scenarios, including victims, attack timing, traffic volume and transmitted contents. However, due to security concerns and the potential impact on operations, it is very difficult, if not impossible, to collect abnormal network traffic from real-world industrial control systems. This chapter addresses the problem by proposing a method for automatically generating a variety of anomalous test traffic based on cyber threat scenarios related to industrial control systems.
ISSN
1868-4238
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36241
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059021842&origin=inward
DOI
https://doi.org/10.1007/978-3-030-04537-1_14
Journal URL
http://www.springer.com/series/6102
Type
Conference
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Choi, Youngjune최영준
Department of Software and Computer Engineering
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