Intrusion Detection System: Time Probability Method and Hyperbolic Hopfield Neural Network
Jabez. J, Anadha Mala. G. S
Journal of Information Organization, Vol. 7, No. 4, 2017.
DOI: 
Link: http://www.dline.info/jio/fulltext/v7n4/jiov7n4_1.pdf
Abstract:
Nowadays, high level security maintenance between the two companies is the significant issue when they are
communicating between them. However, the goal of achieving complete secure communication between those companies
communicating over the internet with various networks is still lacked by the following factors such as misuses and intrusions.
Thus, the Intrusion Detection Systems are very important components to detect these types of attacks. There are various
approaches being utilized to these intrusion detections, but any of the systems so far is not completely flawless. The proposed
framework utilized novel methods such as time probability based pattern detection method and Hyperbolic Hopfield Neural
Network for detect the intrusion from the real time network datasets. The experimental results shows our proposed framework
is obtained better results rather than other frameworks.