Performance analysis of DoS LAND attack detection

Abstract

Summary Nowadays, e-community business, web servers and organizations, mainly suffered by Denial of Service (DoS) attacks. DoS is a common attack causes significant problems in business operations and 65% organizations are suffering over the Internet. This type of attack is created by sending a high rate malicious traffic towards the server and block genuine users using desired network sources and services. In this way this attack consumes the network resources and services which results into degrades the availability of desired services to the valid users. This paper proposes the intrusion detection mechanism for DoS detection such as Local Area Network Denial (LAND), which classified into the Network Traffic Analyzer, Traffic Features Identification and Extraction, IP spoofing based attack detection and Intruder Information. This system efficiently detects DoS LAND based on IP spoofing. This system analyzes the network resources consumed by an attacker. The system is implemented and tested using open source tools. The experimental result shows that, the proposed system produces better performance in comparison with state-of-art existing system and result into a low level of memory and CPU usage.