INTRUSION DETECTION SYSTEM: INTRUSION DETECTION WHILE ACCESSING LOGDATA FILES IN CLOUD DATALAKEARCHITECTURE - Softcover

D, Kanimozhi; V C, Nathiya

 
9786207646845: INTRUSION DETECTION SYSTEM: INTRUSION DETECTION WHILE ACCESSING LOGDATA FILES IN CLOUD DATALAKEARCHITECTURE
Softcover
ISBN 10: 6207646843 ISBN 13: 9786207646845
Verlag: LAP LAMBERT Academic Publishing, 2024

Inhaltsangabe

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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Über die Autorin bzw. den Autor

D.Kanimozhi, Assisstant professor in Kathir college of engineering has bachelor's degree in information technology and master's degree in computer and communication engineering, V C Nathiya, Assistant Professor in Kathir college of engineering has bachelor's degree in computer science engineering and master's degree in computer science engineering.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
6207646843
ISBN 13 
9786207646845
Einband
Taschenbuch
Anzahl der Seiten
92
Kontakt zum Hersteller
Edicoes Nosso Conhecimento
customerservice@vdm-vsg.de

SIA
Riga
1039
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