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
Link To Document :
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