scholarly journals Denial-of-Service Attack Detection using multivariate Correlation Information Based SVM Method

2021 ◽  
Author(s):  
Prajakta P Solankar ◽  
Jaymala K Hipparkar
Keyword(s):  
Correlation Analysis ◽  
Denial Of Service ◽  
Attack Detection ◽  
Dos Attack ◽  
Denial Of Service Attack ◽  
Multivariate Correlation ◽  
Analysis Technique ◽  
Service Attack ◽  
Correlation Information ◽  
Triangular Area

Now day’s network technology is developing rapidly and the network security is important issue. DoS attack is serious threat in network. Denial of service attack forces victim machine out of service several days or few minutes. DoS attack degrades the system performance. This paper constitutes detecting denial of service attack using Multivariate correlation analysis technique. This approach is used to characterize the features of network traffic.This MCA method consists of Triangular area determination methodology for correlation analysis. Normalization is used before this process to remove the bias from data .Normalization technique has greater impact on the performance.

scholarly journals An approach for slow distributed denial of service attack detection and alleviation in software defined networks

2022 ◽  
Vol 25 (1) ◽  
pp. 404
Author(s):  
Prathima Mabel John ◽  
Rama Mohan Babu Kasturi Nagappasetty
Keyword(s):  
Burst Size ◽  
Denial Of Service ◽  
Attack Detection ◽  
Distributed Denial Of Service ◽  
Dos Attack ◽  
Programmable Networks ◽  
Denial Of Service Attack ◽  
Security Issues ◽  
Key Factor ◽  
Service Attack

Over the last few years, the need for programmable networks has captured the interest of industrialists and academicians. It has led to the development of a paradigm called software defined network (SDN). It separates the network intelligence into the control plane and forwarding logic into the data plane. This architecture gives scope to various security issues of which denial of service (DoS) is the most common and challenging to detect. This paper focuses on the detection and mitigation of a slow DoS attack called Slowloris on Apache2 server in SDN based networks. The proposed solution is called Slowloris detection and mitigation mechanism (SDMM). Mininet, an emulator, and SimpleHTTPServer are used for simulation and the same is implemented using Zodiac FX OpenFlow switch, Ryu controller and Apache2 server. SDMM algorithm detects and mitigates prolonged Slowloris attack in typical networks as well as in slow networks with low bandwidth and high delay in 240-280s with an accuracy of 100% and 98% respectively. It uses expectation of burst size as a key factor for detection.

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