Intrusion Detection and Prevention in Networks Using Machine Learning and Deep Learning Approaches: A Review-Reference-Cited by-同舟云学术

Intrusion Detection and Prevention in Networks Using Machine Learning and Deep Learning Approaches: A Review

Published:2021-10-08 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
language:
Short-container-title:

Author:

Abraham Jitti Annie,Bindu V. R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9675453/9675477/09675595.pdf?arnumber=9675595

Reference18 articles.

1. Network Intrusion Detection System: A Systematic Study Of Machine Learning And Deep Learning Approaches;khan;Transactions on Emerging Telecommunications Technologies,2020

2. A New Architecture for Network Intrusion Detection and Prevention

3. A Review of Machine Learning Methodologies for Network Intrusion Detection

4. Intrusion Detection using Machine Learning and Deep Learning;varanasi,2019

5. A Comprehensive Survey of Databases and Deep Learning Methods for Cybersecurity and Intrusion Detection Systems;gümü¸sba¸s;IEEE Systems Journal,2020

Cited by 11 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. Machine Learning for Threat Detection in Softwares;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-11

2. Development of Intrusion Detection Using Logistic Regression with Various Preprocessing Approaches;Communications in Computer and Information Science;2024

3. Anomaly Based Intrusion Detection System: A Deep Learning Approach;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23

4. A hybrid ensemble machine learning model for detecting APT attacks based on network behavior anomaly detection;Concurrency and Computation: Practice and Experience;2023-07-17

5. Risk Accessment of Machine Learning Algorithms on Manipulated Dataset in Power Systems;2023 International Conference on Future Energy Solutions (FES);2023-06-12