No abstract

No abstract

In computing, a denial-of-service attack (DoS attack) is a cyber-attack where the perpetrator seeks to make a machine or network resource unavailable to its intended users by temporarily or indefinitely disrupting services of a host connected to the Internet. In a distributed denial-of-service attack (DDoS attack), the incoming traffic flooding the victim originates from many different sources. This effectively makes it impossible to stop the attack simply by blocking a single source. In this research a generalized model for detection has been created by studying the existing models and algorithms on DoS attacks. Internet security is vital to facilitate e-commerce transactions, and there has been continued research effort to provision network traffic monitoring at high speeds. In the proposed technique a threshold is also defined so that any other node id which is greater than that threshold may be prevented. In case of any intrusion IP backtracking and packet logging is used to detect the intruder and mitigate it. From result it may be clear that the QoS parameters are improved using proposed approach and there are improved by approx 15-18% from the existing approach.