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A hybrid Intrusion Detection System based on Sparse autoencoder and Deep Neural Network

  • Published:2021-12 Issue: Volume:180 Page:77-88
  • ISSN:0140-3664
  • Container-title:Computer Communications
  • language:en
  • Short-container-title:Computer Communications

Author:

Narayana Rao K.,Venkata Rao K.,P.V.G.D. Prasad Reddy

Funder

Ministry of Electronics and Information technology

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference36 articles.

1. Guide to intrusion detection and prevention systems (IDPS);Scarfone;Natl. Inst. Stand. Technol.,2007

2. Learning mechanisms or anomaly-based intruson detection: Updated review;El-Alfy,2017

3. Use of k-nearest neighbor classifier for intrusion detection;Liao;Comput. Secur.,2002

4. A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier;Koc;Expert Syst. Appl.,2012

5. Effective discriminant function for intrusion detection using SVM;Reddy,2016

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2. PSO-ACO-based bi-phase lightweight intrusion detection system combined with GA optimized ensemble classifiers;Cluster Computing;2024-08-06

3. Performance comparison analysis of classification methodologies for effective detection of intrusions;Computers & Security;2024-08

4. Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems;2024 33rd International Conference on Computer Communications and Networks (ICCCN);2024-07-29

5. Toward Deep Learning based Intrusion Detection System: A Survey;Proceedings of the 2024 6th International Conference on Big Data Engineering;2024-07-24
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