• DocumentCode
    1801610
  • Title

    Access Log Generator for Analyzing Malicious Website Browsing Behaviors

  • Author

    Lin, Chu-Hsing ; Liu, Jung-Chun ; Chen, Ching-Ru

  • Author_Institution
    Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan
  • Volume
    2
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    In recent years, the target of the denial-of-service attacks, such as the Http flooding attack, have been switched from the network layer to the application layer. Various attacking schemes are adopted by the attackers to break down the Web site server, some of them send tremendous amount of packets to break down the target host, others send specific request packets to keep the Web site server busy in performing great amount of computations or searches of the database. In order to develop a detection scheme to detect denial-of-service attacks, one needs log data for analysis of browsing behaviors of users. But suitable log data are not easy to obtain and some of available ones are out of date and are not appropriate for analyzing behaviors of present networks. So, we propose an access log generator to generate access logs with characteristics of browsing behaviors for the particular Web site under investigation. We also include malicious behaviors into the generated access log, which is combined with actual access log of the Web site for further tests and analyses.
  • Keywords
    Web sites; authorisation; online front-ends; Http flooding attack; Web site server; access log generator; denial-of-service attack; malicious Web site browsing behavior; Character generation; Computer crime; Computer science; Computer security; Data analysis; Floods; Information security; Network servers; Quality of service; Web server; DoS attack; application layer; http flooding; log generator; quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.310
  • Filename
    5283198