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SHO-Xception: An Optimized Deep Learning Framework for Intelligent Intrusion Detection in Network Environments

Year: 2025

Type: conference-paper

DOI: 10.1109/isac364032.2025.11156610

Authors: Debasish Paul, Santosh Appachu Devanira Poovaiah, Baxtigul Nurullayeva, Anokh Kishore, Venkata Siva Kumar Tankani, Shakhboz Meylikulov

Institutions: JPMorgan Chase & Co (United States), University of Southern California, Mamun University, Microsoft (United States), Termez University of Economics and Service

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4414197879

FWCI: 7.988

Cites: 21

Cited by: 6

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