Cybercrime Detection Through Multilayer Perceptron Neural Network: Evaluate and Compare

Abstract

The Internet is used by international insurgents, jihadists, and terrorist organizations as a tool for radicalization and recruitment, a method of propaganda distribution, a means of communication, and ground for training. Although there are no known reported incidents of cyberattacks on critical infrastructure as acts of terror, this could potentially become a tactic in the future. There are several methods for countering terrorist and insurgent information operations on the Internet. In this paper, the Terrorist Attack dataset using three-layer neural network trained and it is evaluated LBK method with the classification. According to the results which are obtained through three-layer neural network approaches to the methods it has better compare performance.