{"product_id":"intrusion-detection-system-9786207646845","title":"Intrusion Detection System","description":"\u003cp\u003e • Author(s): Kanimozhi D | Nathiya V. C.\u003cbr\u003e • Publisher: LAP Lambert Academic Publishing\u003cbr\u003e • Publisher Imprint: LAP Lambert Academic Publishing\u003cbr\u003e • BISAC: General\u003c\/p\u003e\u003cp\u003eSoftware-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.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46377221193879,"sku":"9786207646845","price":5655.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9786207646845.webp?v=1768760350","url":"https:\/\/atlanticbooks.com\/products\/intrusion-detection-system-9786207646845","provider":"Atlantic Books","version":"1.0","type":"link"}