Systematic Literature Survey on IDS Based on Data Mining-Reference-Cited by-同舟云学术

Systematic Literature Survey on IDS Based on Data Mining

Published:2020 Issue: Volume: Page:850-860
ISSN:2367-4512
Container-title:Second International Conference on Computer Networks and Communication Technologies
language:
Short-container-title:

Author:

Amali Pushpam C.,Gnana Jayanthi J.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37051-0_95

Reference43 articles.

1. Kavitha, N., Boaz, B.: A survey on intrusion detection system using data mining techniques. Int. J. Innov. Res. Sci. Eng. Technol. (IJIRSET) 6(Special Issue 11), 460–465 (2017). e-ISSN: 2319-8753

2. Josemila Baby, J., Jeba, J.R.: Survey paper on various hybrid and anomaly based network intrusion detection system. Res. J. Appl. Sci. 12(3–4), 304–310 (2017). ISSN: 1815-932X

3. Yeo, L.H., Che, X., Lakkaraju, S.: Understanding Modern Intrusion Detection Systems: A Survey, Nov 2017. arXiv:1708.07174 [cs.CR]

4. Baravati, H.B., et al.: A new data mining-based approach to improving the quality of alerts in intrusion detection systems. Int. J. Comput. Sci. Netw. Secur. (IJCSNS) 17(8), 194–198 (2017)

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1. BLB-GAFS: An Efficient, Multi-Objective Genetic Algorithm Based Feature Selection Method for Intrusion Detection Systems;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

2. Boundary-Seeking GAN Approach to Improve Classification of Intrusion Detection Systems Based on Machine Learning Model;2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM);2023-01-03

3. Detection of Intrusions with Machine Learning Methods;2021 2nd International Informatics and Software Engineering Conference (IISEC);2021-12-16

4. An Intrusion Detection System for IoT Using KNN and Decision-Tree Based Classification;2021 International Conference of Modern Trends in Information and Communication Technology Industry (MTICTI);2021-12-04

5. Using Embedded Feature Selection and CNN for Classification on CCD-INID-V1—A New IoT Dataset;Sensors;2021-07-15