Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this context of the rapid migration of enterprise workloads to cloud environments increases the volume of security-critical network logs being transmitted to centralized monitoring systems. However, conventional log transmission mechanisms are still vulnerable to eavesdropping, tampering, and even future quantum-based cryptographic attacks. To meet this challenge, the work at hand proposes a Secure Cloud Intrusion Detection System, which processes network activity logs protected using Post-Quantum Cryptography (PQC). The proposed architecture involves encrypting the network logs through the use of a quantum-resistant key encapsulation mechanism at the client device before sending it to the cloud server; at the cloud-side, the IDS uses a lightweight deep learning classification model to decrypt and detect attacks in real time while maintaining data confidentiality during transit. 52 pp. Englisch. N� de r�f. du vendeur 9786630212587

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Deep Learning IDS with Post-Quantum Encrypted Logs : Cloud security

K. Harini

Edit� par LAP LAMBERT Academic Publishing, 2026

ISBN 10 : 6630212584 ISBN 13 : 9786630212587

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this context of the rapid migration of enterprise workloads to cloud environments increases the volume of security-critical network logs being transmitted to centralized monitoring systems. However, conventional log transmission mechanisms are still vulnerable to eavesdropping, tampering, and even future quantum-based cryptographic attacks. To meet this challenge, the work at hand proposes a Secure Cloud Intrusion Detection System, which processes network activity logs protected using Post-Quantum Cryptography (PQC). The proposed architecture involves encrypting the network logs through the use of a quantum-resistant key encapsulation mechanism at the client device before sending it to the cloud server; at the cloud-side, the IDS uses a lightweight deep learning classification model to decrypt and detect attacks in real time while maintaining data confidentiality during transit. N� de r�f. du vendeur 9786630212587

Contacter le vendeur