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Intrusion Detection System

Intrusion Detection System

Paperback

General Sociology

ISBN10: 6207646843
ISBN13: 9786207646845
Publisher: LAP Lambert Academic Publishing
Published: Sep 26 2024
Pages: 92
Weight: 0.32
Height: 0.22 Width: 6.00 Depth: 9.00
Language: English
Software-Defined Networks (SDN) offer enhanced network management and control, but also introduce new security vulnerabilities. This book presents a comprehensive approach for intrusion detection in SDN environments, combining Elliptic Curve Cryptography (ECC) for secure data transmission with a hybrid machine learning model for accurate attack classification. The system utilizes the Curve25519-Dalek-Hash (CDH) key exchange protocol to encrypt sensitive network data, ensuring confidentiality and integrity. A hybrid model integrating XG Boost and Light GBM algorithms is employed for efficient and accurate attack detection. The proposed system is evaluated on a real-world SDN dataset, demonstrating high accuracy and efficiency in identifying malicious activities.

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General Sociology