• DocumentCode
    2313093
  • Title

    Artificial Intelligence Based Threat Prevention and Sensing Engine: Architecture and Design Issues

  • Author

    Parati, Namita ; Malik, Latesh ; Joshi, A.G.

  • Author_Institution
    G.H.Raisoni Coll. of Eng., Nagpur
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    304
  • Lastpage
    307
  • Abstract
    The limitations of each security technology combined with the growth of cyber attacks impact the efficiency of information security management and increase the activities to be performed by network administrators and security staff. Therefore, there is a need for the increase of automated auditing and intelligent reporting mechanisms for the cyber trust. Intelligent systems are emerging computing systems based on intelligent techniques that support continuous monitoring and controlling plant activities. Intelligence improves an individual´s ability to make better decisions. The base of the research is the Artificial Intelligence coming in a help to build a modern Intelligent Threat Prevention and Sensing Engine where two factors form the critical points one is intelligent packet inspection because of lack of time for full packet inspection in nowadays huge dataflow. And second is intelligent first reaction against the hacker activities, because later would be too late.
  • Keywords
    artificial intelligence; expert systems; security of data; artificial intelligence; cyber trust; information security management; intelligent packet inspection; intelligent sensing engine; intelligent threat prevention; network administrators; security technology; Artificial intelligence; Computer network management; Computer security; Engines; Information management; Information security; Inspection; Intelligent systems; Monitoring; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.52
  • Filename
    4579915