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portada Intrusion Detection System: Intrusion Detection While Accessing Logdata Files in Cloud Datalakearchitecture
Type
Physical Book
Publisher
Author
Language
English
Pages
92
Format
Paperback
ISBN13
9786207646845

Intrusion Detection System: Intrusion Detection While Accessing Logdata Files in Cloud Datalakearchitecture

Kanimozhi D; Nathiya V C (Author) · Lap Lambert Academic Publishing · Paperback

Intrusion Detection System: Intrusion Detection While Accessing Logdata Files in Cloud Datalakearchitecture - Kanimozhi D; Nathiya V C

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Synopsis "Intrusion Detection System: Intrusion Detection While Accessing Logdata Files in Cloud Datalakearchitecture"

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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