Denial of Service Attack Analysis Using Machine Learning Techniques

Abstract

Internet helps the users to develop their skills as well as for doing their day to day activities. Regular work of the users is generally done via online. If people want to do money based transaction or sending important message to their neighbor, they use online network. This can be used and interfere by the attackers. Many attackers utilize the tools to disturb the authorized user job. Major attack utilized by the attacker to disturb the service get by the authorized users is denial of service. It becomes major kind of procedure done by the intruder to take control over system or to down the server. In this paper we analyze the DoS attack including its distributed version. Impacts of DoS are also discussed. Based on the survey and analysis we suggest the model for handling the DoS attack dynamically is also mentioned.