A deep learning methods for intrusion detection systems based machine learning in MANET-Reference-Cited by-同舟云学术

A deep learning methods for intrusion detection systems based machine learning in MANET

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

Laqtib Safaa¹,Yassini Khalid El¹,Hasnaoui Moulay Lahcen¹

Affiliation:

1. Moulay Ismail University, Meknes, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3368756.3369021

Reference32 articles.

1. Safaa Laqtib Khalid El Yassini Meriem Houmer Moulay Driss El Ouadghiri Moulay Lahcen Hasnaoui "Impact of mobility models on Optimized Link State Routing Protocol in MANET " Proceedings of the International Conference on Wireless Networks and Mobile Communications (WINCOM) 26--29 Oct. 2016. Safaa Laqtib Khalid El Yassini Meriem Houmer Moulay Driss El Ouadghiri Moulay Lahcen Hasnaoui "Impact of mobility models on Optimized Link State Routing Protocol in MANET " Proceedings of the International Conference on Wireless Networks and Mobile Communications (WINCOM) 26--29 Oct. 2016.

2. An on-demand secure routing protocol resilient to byzantine failures

3. Bing Wu Jianmin Chen Jie Wu Mihaela Cardei "A Survey on Attacks and Countermeasures in Mobile Ad Hoc Networks " Department of Computer Science and Engineering Florida Atlantic University WIRELESS/MOBILE NETWORK SECURITY. Bing Wu Jianmin Chen Jie Wu Mihaela Cardei "A Survey on Attacks and Countermeasures in Mobile Ad Hoc Networks " Department of Computer Science and Engineering Florida Atlantic University WIRELESS/MOBILE NETWORK SECURITY.

4. A Survey of Intrusion Detection Systems in Wireless Sensor Networks;Butun Ismail;IEEE Communications Surveys & Tutorials,2013

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