An adaptable deep learning-based intrusion detection system to zero-day attacks-Reference-Cited by-同舟云学术

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An adaptable deep learning-based intrusion detection system to zero-day attacks

Published:2023-08 Issue: Volume:76 Page:103516
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Soltani Mahdi^ORCID,Ousat Behzad^ORCID,Jafari Siavoshani Mahdi,Jahangir Amir Hossein^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference46 articles.

1. Emerging trends of recently published datasets for intrusion detection systems (IDS): A survey;Jindal,2021

2. A content-based deep intrusion detection system;Soltani;Int J Inf Secur,2021

3. Before we knew it: an empirical study of zero-day attacks in the real world;Bilge,2012

4. DOC: deep open classification of text documents;Shu,2017

5. Towards open set deep networks;Bendale,2016

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evolving techniques in cyber threat hunting: A systematic review;Journal of Network and Computer Applications;2024-12

2. An intrusion detection model to detect zero-day attacks in unseen data using machine learning;PLOS ONE;2024-09-11

3. Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects;Neurocomputing;2024-09

4. Deep learning based network intrusion detection system: a systematic literature review and future scopes;International Journal of Information Security;2024-08-02

5. Toward Deep Learning based Intrusion Detection System: A Survey;Proceedings of the 2024 6th International Conference on Big Data Engineering;2024-07-24

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