DoS and port scan attack detection in high speed networks

One of the necessities of high-speed Internet highways is the use of intrusion detection systems (IDSs). To this end, IDS should be able to process a high volume of traffic with limited resources. IDSs have improved significantly in recent years and they showed acceptable outcomes. However, there is no appropriate solution for high-speed networks. This paper proposes a solution for diagnosing denial of service (DoS) and port scan attacks as a layer of defense. The proposed method attains high speed rate using a parallel data structure to filter out DoS and port scan attacks from network traffic before entering the intrusion detection system. Attack filtering is based on statistical anomaly detection. The experimental results from implementing and evaluating the proposed method show acceptable records in both error rate and speed.