• DocumentCode
    3756565
  • Title

    Danger Theory Concepts Improving Malware Detection of Intrusion Detection Systems That Uses Exact Graphs

  • Author

    Suhair Amer;Joshua Leonard

  • Author_Institution
    Dept. of Comput. Sci., Southeast Missouri State Univ., Cape Girardeau, MO, USA
  • fYear
    2015
  • Firstpage
    232
  • Lastpage
    237
  • Abstract
    This paper describes the development of an intrusion detection system (IDS) that incorporates ideas of danger theory which enhances the IDS´s performance when compared to not using danger theory. Both systems use Exact Graphs to store the series of system calls in the database. Both the original and enhanced IDSs were first trained using a series of normal system calls. In the enhanced IDS, the system also responds to hardware signals changes which correspond to danger signals. Results of the comparison show that the danger theory enhanced system outperforms the original system.
  • Keywords
    "Immune system","Databases","Intrusion detection","Monitoring","Hardware","Testing","Training"
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CSCI.2015.29
  • Filename
    7424096