An Adaptive Neuro Fuzzy Inference System For Modeling of Cybercrime control
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 6)Publication Date: 2014-06-30
Authors : Anand Kumar Shrivastav; Ekata;
Page : 536-543
Keywords : ANFIS; Back-propagation; Cooperation; Cybercrime; Fuzzy logic; ICT; Liberty; Neural Network; Vulnerability;
Abstract
The prevention of cyber crime is indispensable because a single attack may break the security of computer and network systems. There are certain factors which are responsible for cybercrime and their careful management may substantially reduce cybercrime incidents. The people’s liberty, law enforcement cooperation and vulnerability of ICT infrastructure are three such factors. In this paper, we are contemplating the feasibility of an approach based on Adaptive Neuro Fuzzy Inference System (ANFIS) to probe the relationship of factors that are responsible for cyber crime incidents. The results indicate that our approach may help in planning cybercrime prevention strategy.
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Last modified: 2014-07-04 21:26:33