• DocumentCode
    3193327
  • Title

    A Study on Malicious Codes Pattern Analysis Using Visualization

  • Author

    Lee, Donghwi ; Song, In Soo ; Kim, Kuinam J. ; Jeong, Jun-hyeon

  • Author_Institution
    Dept. of Ind. Security, Kyonggi Univ., Suwon, South Korea
  • fYear
    2011
  • fDate
    26-29 April 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The expansion of internet technology has made convenience. On the one hand various malicious code is produced. The number of malicious codes occurrence has dramatically increasing, and new or variant malicious code circulation very serious, So it is time to require analysis about malicious code. The being so malicious code pattern extract for malicious code properties of anti-virus company. Visualization possible to make one image for thousands upon thousands of malicious code. and It is possible to extract unseen pattern. Therefore this paper of object is various malicious code analysis besides new or variant malicious code type or form deduction using visualization of strong. Thus this paper proposes unseen malicious code pattern extract.
  • Keywords
    Internet; computer viruses; pattern recognition; security of data; Internet technology; anti-virus company; malicious codes pattern analysis; visualization; Binary codes; Cancer; Companies; Data mining; Data visualization; Security; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2011 International Conference on
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-1-4244-9222-0
  • Electronic_ISBN
    978-1-4244-9223-7
  • Type

    conf

  • DOI
    10.1109/ICISA.2011.5772330
  • Filename
    5772330