Investigation and classification of cyber-crimes through IDS and SVM algorithm

The evolution of information technology and the development of usage of the high speed internet has brought about changes in the human daily activities. And also access to a large amount of information available through Internet and network platform have led to an increase in the knowledge level of individuals. But along with these changes that have changed the quality of life, and despite all the features and capabilities of the Internet, the criminals have been able to enter the organizational computer systems, and a new type of crime known as computer crime has been emerged which has doubled the importance of tracking, detecting and dealing with these crimes. The spread of computer crime in different countries has led to the adoption of appropriate solutions through the development of relevant laws and raising public awareness and also detection and counteraction of computer crimes requires high level of knowledge, skills and technology. In this way, today intrusion detection and prevention systems along with firewalls are the main mechanisms for achieving the network security. purpose of this study is to identify meaningful patterns for categorizing computer attacks as a solution for Detecting as much as possible malicious attacks and anticipating future criminal activities by using the intrusion detection systems and focus on evidence gathering about suspicious activities and therefore increasing network security. For this purpose, the present study investigates computer crimes that occurred through the traffic network of a petrochemical subsidiary company in a given period of time through the attacks modeling using the SVM algorithm.