A Survey on Hybrid Intrusion Detection Techniques-Reference-Cited by-同舟云学术

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A Survey on Hybrid Intrusion Detection Techniques

Published:2021 Issue: Volume: Page:815-825
ISSN:2194-5357
Container-title:Research in Intelligent and Computing in Engineering
language:
Short-container-title:

Author:

Bhati Nitesh Singh,Khari Manju

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-7527-3_77

Reference24 articles.

1. Gupta A, Bhati BS, Jain V (2014) Artificial intrusion detection techniques: a survey. Int J Comput Network Inform Secur 6(9):51

2. Bace R, Mell P (2001) NIST special publication on intrusion detection systems. Booz-Allen and Hamilton Inc., Mclean

3. Bhati BS, Rai CS (2016) Intrusion detection systems and techniques: a review. Int J Critical Comput Syst 6(3):173–190. https://doi.org/10.1504/IJCCBS.2016.079077

4. Lundin E, Jonsson E (2002) Survey of intrusion detection research. Chalmers University of Technology

5. Bhati BS, Rai CS (2019). Analysis of support vector machine-based intrusion detection techniques. Arab J Sci Eng 1–13

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1. An efficient intrusion detection system for IoT security using CNN decision forest;PeerJ Computer Science;2024-09-09

2. A Comprehensive Study of Intrusion Detection and Prevention Systems;Wireless Communication Security;2022-12-07

3. Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game;IEEE Transactions on Vehicular Technology;2022-10

4. A two-stage stacked ensemble intrusion detection system using five base classifiers and MLP with optimal feature selection;Microprocessors and Microsystems;2022-10

5. A New Block Based Non-Blind Hybrid Color Image Watermarking Approach Using Lifting Scheme and Chaotic Encryption Based on Arnold Cat Map;Traitement du Signal;2022-08-31

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