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Modelling Technology Transfer in Green IT with Multi-agent System Read chapter Read first chapter

2017 | OriginalPaper | Chapter

15. Implementation of Hybrid Artificial Intelligence Technique to Detect Covert Channels Attack in New Generation Internet Protocol IPv6

Authors : Abdulrahman Salih, Xiaoqi Ma, Evtim Peytchev

Published in: Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy

Publisher: Springer International Publishing

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Abstract

Intrusion detection systems offer monolithic way to detect attacks through monitoring, searching for abnormal characteristics, and malicious behavior in network communications. Cyber-attack is performed through using covert channel which currently is one of the most sophisticated challenges facing network security systems. Covert channel is used to ex/infiltrate classified information from legitimate targets; consequently, this manipulation violates network security policy and privacy. The New Generation Internet Protocol version 6 (IPv6) has certain security vulnerabilities and need to be addressed using further advanced techniques. Fuzzy rule is implemented to classify different network attacks as an advanced machine learning technique, meanwhile, Genetic algorithm is considered as an optimization technique to obtain the ideal fuzzy rule. This paper suggests a novel hybrid covert channel detection system implementing two Artificial Intelligence (AI) techniques, Fuzzy Logic and Genetic Algorithm (FLGA), to gain sufficient and optimal detection rule against covert channel. Our approach counters sophisticated network unknown attacks through an advanced analysis of deep packet inspection. Results of our suggested system offer high detection rate of 97.7 % and a better performance in comparison to previous tested techniques.

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Metadata
Title
Implementation of Hybrid Artificial Intelligence Technique to Detect Covert Channels Attack in New Generation Internet Protocol IPv6
Authors
Abdulrahman Salih
Xiaoqi Ma
Evtim Peytchev
Copyright Year
2017
Book
Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy

Print ISBN: 978-3-319-43433-9

Electronic ISBN: 978-3-319-43434-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-43434-6_15

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