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  • 标题:Study on Masquerade User Detection Techniques using Schonlau’s Data Set & Simple Cipher Substitution
  • 本地全文:下载
  • 作者:Nitish V. Lad ; Sagar S. Sawant
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2015
  • 卷号:4
  • 期号:5
  • 页码:2274-2279
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Enforcing good security policies is an intricate job, but bypassing policies is not comparatively difficult; it is often required to share information among different organizations but the current security models are not effective enough to control the potential consequences of wrong-sharing; etc. Hence, it can be implied that access control systems are necessary measures, but not sufficient enough to deal with all the complexities posed by insider attacks. It is widely accepted that internal users poses most threat to the security of the computer by misusing their privileges. This may cause potential damages to the organization comparatively more than those by externals. The risks associated with internal security issues can be partially mitigated by the conventional access control models, but systems are much more complex. In this paper, we discuss different algorithms for the detection of these masquerade attacks. In this paper, we leverage the pattern matching abilities of sequence alignment algorithms to discover masquerade attacks within sequences of information system audit data (e.g., command line entries).
  • 关键词:Masquerade user; Attack; Intrusion Detection ; System (IDS)
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