Open AccessDenial-of-Service Attack Detection using multivariate Correlation Information Based SVM Method
Author(s) -
Prajakta P Solankar,
Jaymala K Hipparkar
Publication year - 2021
Publication title -
aijr proceedings
Language(s) - English
Resource type - Conference proceedings
ISSN - 2582-3922
DOI - 10.21467/proceedings.118.44
Subject(s) - denial of service attack , normalization (sociology) , computer science , computer security , support vector machine , network security , correlation , denial , multivariate statistics , data mining , computer network , artificial intelligence , machine learning , the internet , mathematics , psychology , geometry , sociology , world wide web , anthropology , psychoanalysis
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.