ARTIFICIAL INTELLIGENCE TECHNIQUES FOR INFORMATION SECURITY RISK ASSESSMENT
Author(s):
R.Gnanabharathy
Keywords:
SMTP, NLP, GA, IDS, RBS.
Abstract
The phenomenon of online social networking has evolved to include more than the teenage stereotype looking to expand his/her network of online friends. People of all ages and backgrounds have discovered that they can enrich their lives through the contacts they make on a social networking website. The social networks must progress to make the user's life easier with the aim of providing security and privacy in their day to day routine. The integration of AI techniques to solve current problems is a help to achieve intelligent environments offering adaptive behaviors depending on the user's intentions. Artificial Intelligence (AI) is one of the computer science areas with more expectation created in the last years. AI is a scientific discipline which tries to operationallies human intellectual and cognitive capabilities in order to make them available through information processing systems. Nowadays, many security and privacy problems cannot be optimally solved due to their complexity. In these situations, artificial intelligence has proven to be extremely useful and well-fitted to solve these problems. Artificial neural networks, evolutionary computation, clustering, fuzzy sets, multi-agent systems, data mining and pattern recognition are just a few examples of artificial intelligence techniques that can be successfully used to solve some relevant privacy and security problems.
Article Details
Unique Paper ID: 147212

Publication Volume & Issue: Volume 5, Issue 6

Page(s): 28 - 31
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