DDoS attack Detection against the Network Traffic Fusion Process using Theorem-based Reverse Sketching

Abstract

Distributed Denial of Service attacks is common attacks—DDoS plan to limit the casual users from cracking the critical network resources. Methods to find the DDoS attack come to light as an essential and hot research issue. Therefore, the increment in network usage scale demands more challenges to see the DDoS attack. Non-real time collection of network traffic will make sincere complications inaccuracy. DDOS attack detection, and efficiency. Lately, sketch data structures play an excellent role in high-speed networks to suppress and combine network traffic issues. However, the sketch data structure has issues rebuilding the reverse keys that behave abnormally due to the reversible hash function. To rectify the above difficulties, we include the Chinese Remainder Theorem-based Reverse Sketching (CRTRS). However, Reverse Sketching is not good at suppressing and combining heavy network traffic, but it can easily detect abnormal keys. According to network traffic records setup by CRTRS, we add the Modified Cumulative Sum Quality Control Scheme (MCSQCS) that encourages the DDOS attack detection. The enforcement of the proposed work with DDOS attack detection has two kind’s different datasets. The result of the experiments shows that it gives more accuracy and efficiency in detecting DDOS attacks. Therefore, comparing other DDoS detecting methods with the sketch data structure has fewer computational complications. Improving the anomalous keys is the most critical challenge in this proposed work.