Smurf attack using hybrid machine learning technique

Several techniques have been constructed to make the network environment and also better communication very safe and secure in cyber security domain. Intrusion detection system tool plays very important role in finding malevolent aligned with cyber security systems. Also, finding one of the kinds of...

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Bibliographic Details
Main Authors: Revathy, G., Rajendran, V., Sathish Kumar, P., Vinuharini, S., Roopa, G. N.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Centroids
Cybersecurity
Denial of service attacks
Machine learning
Security systems
Online Access:Get full text
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Summary:Several techniques have been constructed to make the network environment and also better communication very safe and secure in cyber security domain. Intrusion detection system tool plays very important role in finding malevolent aligned with cyber security systems. Also, finding one of the kinds of Denial of Service attack which is Smurf attack is a major protection challenges facing in network equipment. Smurf attack is a kind of Denial of Service attack or malicious which should be find out for keeping the information (data) very safe and secure in Cyber security. So, in this paper we introduced machine learning hybrid algorithm in which Nearest Centroid Algorithm attains least prediction time as 0.01% and accuracy measure as 99.6% in detection of the network attacks mainly detecting Smurf attack for preventing the information very secure.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0080211