An efficient approach to reduce alerts generated by multiple IDS products-Reference-Cited by-同舟云学术

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An efficient approach to reduce alerts generated by multiple IDS products

Published:2014-03-21 Issue:3 Volume:24 Page:153-180
ISSN:1055-7148
Container-title:International Journal of Network Management
language:en
Short-container-title:Int. J. Network Mgmt

Author:

Nguyen Tu Hoang¹²,Luo Jiawei¹,Njogu Humphrey Waita³

Affiliation:

1. College of Information Science and Engineering; Hunan University; Changsha China

2. Centre for Informatics and Foreign Language; Hanoi University of Industry; Hanoi Vietnam

3. Kenya Institute for Public Policy Research and Analysis (KIPPRA); Nairobi Kenya

Funder

Hunan Provincial Natural Science Foundation of China

Publisher

Wiley

Subject

Computer Networks and Communications,Computer Science Applications

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/nem.1857/fullpdf

Reference39 articles.

1. A comprehensive approach to intrusion to intrusion detection alert correlation;Valeur;IEEE Transactions on Dependable and Secure Computing,2004

2. A preliminary two-stage alarm correlation and filtering system using SOM neural network and K-means algorithm;Tjhai;Computers and Security,2010

3. Network specific false alarm reduction in intrusion detection system;Hubballi;Journal of Security and Communication Networks,2011

4. Data mining and machine learning: towards reducing false positives in intrusion detection;Pietraszek;Information Security Technical Report 2005,2005

5. Improvement in intrusion detection with advances in sensor fusion;Thomas;IEEE Transactions on Information Forensics and Security,2009

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1. Cyber-Attack Prediction Based on Network Intrusion Detection Systems for Alert Correlation Techniques: A Survey;Sensors;2022-02-15

2. Research of machine and deep learning methods application for host-level intrusion detection and classification;2021

3. Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data;Applied Sciences;2020-03-30

4. Unsupervised Learning for Log Data Analysis Based on Behavior and Attribute Features;Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science;2019-07-12

5. A deep learning method to detect network intrusion through flow‐based features;International Journal of Network Management;2018-11-07

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