• DocumentCode
    588716
  • Title

    Introducing Adjuvants to Dendritic Cell Algorithm for Stealthy Malware Detection

  • Author

    Jun Fu ; Huan Yang

  • Author_Institution
    28th Res. Inst., CETC, Nanjing, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    18
  • Lastpage
    22
  • Abstract
    The increase in stealth of malware has brought the Dendritic Cell Algorithm (DCA) many difficulties in malware detection. to solve this problem, in this paper we take inspiration from immunological adjuvant which can enhance the immune responses to weak antigens, and propose its counterpart namely artificial adjuvant as an improvement for the DCA. Artificial adjuvants are capable of increasing the ´immunogenicity´ of stealthy malware and accelerating the reaction of the dendritic cells (DCs). in such a way, they shed some lights for the DCA on improving the performance of stealthy malware detection in respect of not only improving the detection rate, but also helping detecting hidden malware as soon as possible.
  • Keywords
    artificial immune systems; invasive software; DCA; artificial adjuvant; artificial immune system; dendritic cell algorithm; hidden malware detection; immunological adjuvant; stealthy malware detection; stealthy malware immunogenicity; weak antigens; Acceleration; Immune system; Malware; Sociology; Statistics; Vaccines; Arti?cial Immune System (AIS); Dendritic Cell Algorithm (DCA); Stealthy Malware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.156
  • Filename
    6405555