Anomaly Detection Using Generic Machine Learning Approach With a Case Study of Awareness

Security of computer systems and information in flow is essential to acceptance for every network user utilities Now the standalone computer and internets are exposed to an increasing number of security threats with new types of attacks continuously appearing. For this to develop a robust, flexible and adaptive security oriented approaches is a severe challenge. In this context, anomaly based intrusion detection technique is an advanced accurate technique to protect data stored at target systems and while flow in the networks against malicious activities. Anomaly detection is an area of information security that has received much attention in recent years. So in this paper we are going to elaborate a latest techniques available in machine learning approach applied to anomaly detection which are used to thwarts the latest attacks like cyber based attacks and malware infections. Finally a case study is discussed on latest cyber attacks phased by top web domains and countries in the world motivated by a traditional security ethic are called E-Awareness.