Lightweight intrusion detection model based on CNN and knowledge distillation-Reference-Cited by-同舟云学术

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Lightweight intrusion detection model based on CNN and knowledge distillation

Published:2024-11 Issue: Volume:165 Page:112118
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wang Long-Hui,Dai Qi^ORCID,Du Tony,Chen Li-fang

Funder

tangshan kexue jishu ju

Publisher

Elsevier BV

Reference74 articles.

1. Anomaly-based network intrusion detection: Techniques, systems and challenges;Garcia-Teodoro;Comput. Secur.,2009

2. Intrusion detection system: A comprehensive review;Liao;J. Netw. Comput. Appl.,2013

3. An intrusion-detection model;Denning;IEEE Trans. Softw. Eng.,1987

4. Towards an energy-efficient anomaly-based intrusion detection engine for embedded systems[J];Viegas;IEEE Trans. Comput.,2016

5. A hybrid intrusion detection system design for computer network security;Aydın;Comput. Electr. Eng.,2009

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