SPINZ: A Speculating Incident Zone System for Incident Handling

Authors

  • Daichi Hasumi NEC Corporation, Japan
  • Shigeyoshi Shima NEC Corporation, Japan
  • Hiroki Takakura National Institute of Informatics, Japan

DOI:

https://doi.org/10.13052/2245-1439.833

Keywords:

Cyber Security, Incident Handling, Triage, Traffic Measurement, Anomaly Detection

Abstract

Organizations introducing computer and network systems need to quickly and accurately respond to information security incidents to counter intense cyber attacks. However, computer security incident response teams (CSIRTs) in organizations receive a large amount of alerts and logs that they have to investigate. Such a situation increases incident handling time. Our previous research revealed that the triage process in incident handling failed in many incident cases. In our consideration, the triage process lacks the ability to assess overall risks to modern cyber attacks. Zoning of local area networks by measuring internal-network traffic in response to such risks is important. Therefore, we propose the SPeculating INcident Zone (SPINZ) system for supporting the triage process. The SPINZ system analyzes internal-network flows and outputs an incident zone, which is composed of devices related to the incident. We evaluated the performance of the SPINZ system through simulations using two incident-flow dataset generated from two types of internal-network datasets and malicious-activity flows generated from legitimate commands. We confirm that the SPINZ system can detect an incident zone, but removing unrelated devices from an incident zone is an issue requiring further investigated.

 

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Author Biographies

Daichi Hasumi, NEC Corporation, Japan

Daichi Hasumi earned his bachelor’s and master’s degree in Engineering from Shibaura Institute of Technology, Tokyo. He joined NEC Corporation in 2015 and have been working on Research & Development for cybersecurity at NEC Security Research Laboratories. He is currently studying Network Security and Security Operations, especially a supporting technology for Incident Handling. His research interests are in the areas of Machine Learning, Computer Network, and Cybersecurity. He is also a member of ACM.

Shigeyoshi Shima, NEC Corporation, Japan

Shigeyoshi Shima received Bachelor of Science from Hirosaki University (in 1995), Master Degree of Information Science from Japan Advanced Institute of Science and Technology (in 1997), and his Ph.D. in applied engineering from the University of Electro-Communications (in 2012). He is currently working as a principal researcher, Department of Central Research Laboratories, NEC Corporation, Japan. His research interests include cyber security, system security, and economics of information security. He is a member of the IEICE, IPSJ.

Hiroki Takakura, National Institute of Informatics, Japan

Hiroki Takakura received his B.S. and M.S. degrees from Kyushu University in 1990 and 1992, and Ph.D. degree from Kyoto University in 1995. He was a research fellow of Japan Society for Promotion of Science since 1994 to 1995 (also a visiting scholar at University Illinois at Urbana Champaign), a research associate at Nara Institute of Science and Technology since 1995 to 1997, a lecturer at Kyoto University since 1997 to 2000, an associate professor at Kyoto University since 2000 to 2009, and a professor at Nagoya University since 2010 to 2015. Since 2015 he is a professor at National Institute of Informatics. His research interests include network security, databases, and geographic information system. He is a member of Information Processing Society, Japan; Geographic Information Systems in Japan; The Institute of Systems, Control and Information Engineers and ACM.

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Published

2018-12-14

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