Triangle-Area-Based Multivariate Correlation Analysis for Effective Denial-of-Service Attack Detection

2012 ◽  
Author(s):  
Zhiyuan Tan ◽  
Aruna Jamdagni ◽  
Xiangjian He ◽  
Priyadarsi Nanda ◽  
Ren Ping Liu
Keyword(s):  
Correlation Analysis ◽  
Denial Of Service ◽  
Attack Detection ◽  
Denial Of Service Attack ◽  
Multivariate Correlation ◽  
Service Attack ◽  
Multivariate Correlation Analysis

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.

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