Analyzing and Detecting Network Intrusion Behavior Using Packet Capture

Network Intrusion is one of serious computer network security issues faced by almost all organizations or industries around the world. The big problem is that companies still have poor security to keep their network in good condition. Unfortunately, the management takes the simplest way by putting heavy responsibilities to network administrator rather than spending a high cost of computer security setup. In this paper describes a preliminary study for proposing a technique of analyzing network intrusion by using Packet Capture integrated with Network Intrusion Behavior Analysis Engine. This technique analyzes whether the flow of the network is healthy or malicious. The study consists of several components for implementing an effective and efficient network analyzing mechanism. Artificial Neural Network is selected as the main method for its behavior analysis engine. Then, it will illustrate the analysis result using an enhanced visualization method which gives more knowledge and understanding to the network administrators for effectively monitor network traffics.