CYBERCRIME DETECTION THROUGH MULTILAYER PERCEPTRON NEURAL NETWORK : EVALUATE AND COMPARE

摘要：

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 threelayer 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.

关键词： Cybercrime Data mining Multi-layer perceptron Neural networks Terrorist attack

作者: ELAHE SABETNIA MARYAM POORGHOLAMI MEHRDAD JALALI

作者单位: Department of Computer Engineering,Mashhad Branch,Islamic Azad University,Mashhad Iran

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1092-1096

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）