Title: INTRUSION DETECTION SYSTEM: INTRUSION DETECTION WHILE ACCESSING LOGDATA FILES IN CLOUD DATALAKEARCHITECTURE
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2024
Language: English
ISBN 10: 6207646843
ISBN 13: 9786207646845
Binding: Soft cover
Condition: New

About this title

Synopsis

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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