Research on Data Pollution Prevention in Network Intrusion Detection Systems Based on Naive Bayes-Reference-Cited by-同舟云学术

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Research on Data Pollution Prevention in Network Intrusion Detection Systems Based on Naive Bayes

Published:2024-01-19 Issue: Volume:12 Page:114-118
ISSN:
Container-title:Proceedings of the 2024 3rd International Conference on Cryptography, Network Security and Communication Technology
language:
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Author:

Lu Yinglun¹^ORCID,Xie Tian²^ORCID,Shen Jiyue²^ORCID,Xu Sheng³^ORCID,Sun Pan⁴^ORCID

Affiliation:

1. Zhejiang Zheneng Electric Power Co., LTD., China

2. Zhejiang Zheneng Shaoxing Binhai Thermal Power Co., LTD., China

3. Zhejiang Energy Group Finance Co., LTD., China

4. Zhejiang Zheneng Energy Services, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673277.3673297

Reference10 articles.

1. Nandhakumar E. A hybrid adaptive development algorithm and machine learning based method for intrusion detection and prevention system[J].Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2021,12(5), 1226-1236.

2. efficient intrusion detection system using deep learning approach[J];Ramalingam J;Journal of Resource Management and Technology,2021

3. Artificial intelligence based network anomaly signal recognition method [J];Chen S L;Software,2022

4. Data Center Power Attack Defense Strategy Based on PCPEC[J].;Ou D Y;Computer Science

5. poisoning defense based on sample distribution characteristics[J].;Yang L S;Application Research of Computers

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