Classification of Intrusion Detection Using Data Mining Techniques-Reference-Cited by-同舟云学术

Classification of Intrusion Detection Using Data Mining Techniques

Published:2018 Issue: Volume: Page:753-764
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Sahani Roma,Shatabdinalini ,Rout Chinmayee,Chandrakanta Badajena J.,Jena Ajay Kumar,Das Himansu

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7871-2_72

Reference30 articles.

1. Barbara, Daniel, et al.: ADAM: Detecting intrusions by data mining. In Proceedings of the IEEE Workshop on Information Assurance and Security. (2001): 11–16.

2. Swamy, K.V.R., and K.S. Vijaya Lakshmi: Network intrusion detection using improved decision tree algorithm. International Journal of Computer Science and Information Security 10.8 (2012): 4971–4975.

3. Farid, Dewan Md, et al.: “Attacks classification in adaptive intrusion detection using decision tree.” World Academy of Science, Engineering and Technology 63 (2010): 86–90.

4. IDS over Firewall, https://www.scribd.com/document/45263670/Limitations-Of-Firewall . January 2017.

5. Sarkar, Sutapa: High Performance Network Security Using NIDS Approach. International Journal of Information Technology and Computer Science (IJITCS) 6.7 (2014): 47–55.

Cited by 56 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. A simple framework to enhance the adversarial robustness of deep learning-based intrusion detection system;Computers & Security;2024-02

2. A Blended Deep Learning Intrusion Detection Framework for Consumable Edge-Centric IoMT Industry;IEEE Transactions on Consumer Electronics;2024-02

3. Prediction of Abnormality in Kidney Function Using Classification Techniques and Fuzzy Systems;Lecture Notes in Networks and Systems;2024

4. Reinforcement learning-based multi-objective energy-efficient task scheduling in fog-cloud industrial IoT-based systems;Soft Computing;2023-09-25

5. Pest Detection Using Random Forest;2023 International Conference on IoT, Communication and Automation Technology (ICICAT);2023-06-23