An efficient forensic evidence collection scheme of host infringement at the occurrence time

  • Authors:
  • Yoon-Ho Choi;Jong-Ho Park;Sang-Kon Kim;Seung-Woo Seo;Yu Kang;Jin-Gi Choe;Ho-Kun Moon;Myung-Soo Rhee

  • Affiliations:
  • School of Electrical and Computer Engineering, Seoul National University, Seoul, Korea;School of Electrical and Computer Engineering, Seoul National University, Seoul, Korea;School of Electrical and Computer Engineering, Seoul National University, Seoul, Korea;School of Electrical and Computer Engineering, Seoul National University, Seoul, Korea;KT Information Security Center, Seoul, Korea;KT Information Security Center, Seoul, Korea;KT Information Security Center, Seoul, Korea;KT Information Security Center, Seoul, Korea

  • Venue:
  • ICISC'06 Proceedings of the 9th international conference on Information Security and Cryptology
  • Year:
  • 2006

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Abstract

The Computer Forensics is a research area that finds the malicious users by collecting and analyzing the intrusion or infringement evidence of computer crimes such as hacking. Many researches about Computer Forensics have been done so far. But those researches have focused on how to collect the forensic evidence for both analysis and proofs after receiving the intrusion or infringement reports of hosts from computer users or network administrators. In this paper, we describe how to selectively collect the forensic evidence of good quality from observable and protective hosts at the time of infringement occurrence by malicious users. By correlating the event logs of Intrusion Detection Systems(IDSes) and hosts with the configuration information of hosts periodically, we calculate the value of infringement severity that implies the real infringement possibility of the hosts. Based on this severity value, we selectively collect the evidence for proofs at the time of infringement occurrence. As a result, we show that we can minimize the information damage of the evidence for both analysis and proofs, and reduce the amount of data which are used to analyze the degree of infringement severity.