Verwandte Artikel zu Deep Learning IDS with Post-Quantum Encrypted Logs:...

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

Narasimham, Challa; Harini, K.; Sri Sai, K Pardheep

 
9786630212587: Deep Learning IDS with Post-Quantum Encrypted Logs: Cloud security

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Prof. Challa Narasimham uzyskä stopie¿ doktora (PhD) oraz doktora nauk ¿cis¿ych (D Sc) w dziedzinie in¿ynierii komputerowej; obecnie pracuje jako profesor i ma na swoim koncie oko¿o 108 publikacji naukowych. K. Harini i K. Pardheep Sri Sai, studenci in¿ynierii komputerowej, w ramach swoich zaj¿¿ akademickich przyczynili si¿ do powstania niniejszej pracy.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.