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