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Wide Slice Kronecker Network for Concept Drift Aware Malware Variant Traffic Identification at an IoT Edge Gateway

delete2026-05-07
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PRE
AI
A
Arumugam Gonda *
S
Srinath Doss
B
Bal Virdee
A
Ashish Khanna
DOI:10.1016/j.jpdc.2026.105285delete
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Abstract

Abstract

En 中文
• WSliceKN is used to identify malware variant traffic. • WSliceKN is retrained using mutual information and loss function. • Adaptive sliding window is used to perform concept drift detection.
Keywords:
WSliceKN
malware variant traffic
concept drift
adaptive sliding window
mutual information

Journal

Journal of Parallel and Distributed Computing cover
Journal of Parallel and Distributed Computing
IF:
4
Papers:
3.8K
Citations:
4.8K

Organization

A
azteca university
Scholars:
2
Papers: 2
Citations: 0
L
London Metropolitan University
Scholars:
915
Papers: 991
Citations: 1.0K
B
Botho University
Scholars:
2
Papers: 2
Citations: 302
M
Maharaja Agrasen Institute of Technology
Scholars:
177
Papers: 241
Citations: 0
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