• DocumentCode
    736272
  • Title

    An advanced algorithm for malware detection

  • Author

    Khan, Gousia Hazra Anjum ; Dewangan, Kranti Kumar

  • Author_Institution
    Cyber Security (CSE), ITM University, Raipur, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The aim of this paper is to develop a malware detector based upon malware detection algorithm. A malware detection algorithm is build in order to detect any malicious content in a program. The malware writers i.e. hackers use obfuscations to change the detector or evade the software which protect against malware. Thus the malware detectors specially using pattern matching (procedure /system) are vulnerable to these obfuscations used by hackers. And the basic deficiency in this type is the syntactic preference and semantic of instruction´s ignorance. Thus, the algorithm prepared in this paper overcomes such deficiency to detect the malicious contents in a program having such signs. Our advanced enhancement algorithm for malware detection tries to detect all the type of obfuscations been used by the hackers.
  • Keywords
    Computer hacking; Computers; Detectors; Grippers; Software; Spyware; Malware; Obfuscation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253988
  • Filename
    7253988