A systematic review on intrusion detection based on the Hidden Markov Model-Reference-Cited by-同舟云学术

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A systematic review on intrusion detection based on the Hidden Markov Model

Published:2018-04-27 Issue:3 Volume:11 Page:111-134
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Ahmadian Ramaki Ali¹,Rasoolzadegan Abbas¹^ORCID,Javan Jafari Abbas¹

Affiliation:

1. Computer Engineering Department, Faculty of Engineering; Ferdowsi University of Mashhad; Mashhad Iran

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Reference121 articles.

1. Fraud detection system: A survey;Abdallah;J. Netw. Comput. Appl.,2016

2. A. Agarwal S. Dawson D. McKee P. Eugster M. Tancreti V. Sundaram Detecting abnormalities in IoT program executions through control-flow-based features 2017

3. Feature selection for intrusion detection system using ant colony optimization;Aghdam;Int. J. Netw. Security,2016

4. Hidden Markov models for malware classification;Annachhatre;J. Comput. Virol. Hack. Tech.,2014

5. HMMPayl: An intrusion detection system based on Hidden Markov Models;Ariu;Comput. Security,2011

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4. Semi-Supervised Techniques for Detecting Previously Unseen Radar Behaviors;IEEE Access;2023

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