Deep Learning IDS with Post-Quantum Encrypted Logs

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2026, 2026

6630212584 / 9786630212587

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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.

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Bibliographic details

Title
Deep Learning IDS with Post-Quantum Encrypted Logs
Author
K. Harini
Publisher
LAP LAMBERT Academic Publishing Jul 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6630212584
ISBN 13
9786630212587
Item weight
96 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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