Newest collaborative and hybrid network intrusion detection framework based on suricata and isolation forest algorithm-Reference-Cited by-同舟云学术

Newest collaborative and hybrid network intrusion detection framework based on suricata and isolation forest algorithm

Published:2019-10-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Smart City Applications
language:
Short-container-title:

Author:

Chiba Zouhair¹,Abghour Noreddine¹,Moussaid Khalid¹,Omri Amina El¹,Rida Mohamed¹

Affiliation:

1. Hassan II University of Casablanca, Casablanca, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3368756.3369061

Reference44 articles.

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4. Diro A. A. and Chilamkurti N. 2018. Distributed attack detection scheme using deep learning approach for Internet of Things. Future Generation Computer Systems. 82 (May 2018) 761--768. 10.1016/j.future.2017.08.043 Diro A. A. and Chilamkurti N. 2018. Distributed attack detection scheme using deep learning approach for Internet of Things. Future Generation Computer Systems. 82 (May 2018) 761--768. 10.1016/j.future.2017.08.043

5. Kim H. Kim J. Kim Y. Kim I. and Kim K. J. 2018. Design of network threat detection and classification based on machine learning on cloud computing. Cluster Computing. (Feb. 2018) 1--10. 10.1007/s10586-018-1841-8 Kim H. Kim J. Kim Y. Kim I. and Kim K. J. 2018. Design of network threat detection and classification based on machine learning on cloud computing. Cluster Computing. (Feb. 2018) 1--10. 10.1007/s10586-018-1841-8

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