Improving Intrusion Detection System Based on Snort Rules for Network Probe Attacks Detection with Association Rules Technique of Data Mining-Reference-Cited by-同舟云学术

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Improving Intrusion Detection System Based on Snort Rules for Network Probe Attacks Detection with Association Rules Technique of Data Mining

Published:2015-08-03 Issue:3 Volume:8 Page:234-250
ISSN:2337-5787
Container-title:Journal of ICT Research and Applications
language:
Short-container-title:J. ICT.Res.Appl.

Author:

Khamphakdee Nattawat, ,Benjamas Nunnapus,Saiyod Saiyan, ,

Publisher

The Institute for Research and Community Services (LPPM) ITB

Subject

Electrical and Electronic Engineering,Information Systems and Management,General Computer Science

Cited by 16 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. Training and Classification Techniques in Intrusion Detection Systems Based on Network Anomalies Comparative Study;Studies in Computational Intelligence;2024

2. The Implementation of Machine Learning for Optimizing Network-Based Intrusion Detection in the Snort Application;2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI);2023-12-11

3. Probe Attack Detection Using an Improved Intrusion Detection System;Computers, Materials & Continua;2023

4. Bridging the Last-Mile Gap in Network Security via Generating Intrusion-Specific Detection Patterns through Machine Learning;Security and Communication Networks;2022-02-12

5. Snort ids system visualization interface for alert analysis;Serbian Journal of Electrical Engineering;2022

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