Detection of Intrusions using Support Vector Machines and Deep Neural Networks-Reference-Cited by-同舟云学术

Detection of Intrusions using Support Vector Machines and Deep Neural Networks

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Patel N D¹,Mehtre B M²,Wankar Rajeev³

Affiliation:

1. University of Hyderabad Gachibowli,SCIS,Hyderabad,India,500046

2. CoECS, IDRBT,Hyderabad,TS,India

3. University of Hyderabad,SCIS,Hyderabad,TS,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964473/9964406/09964756.pdf?arnumber=9964756

Reference22 articles.

1. Novel attribute selection technique for an efficient intrusion detection system

2. Ensemble of radial basis neural networks with k-means clustering for heating energy consumption prediction

3. A Survey of Intrusion Detection Models based on NSL-KDD Data Set

4. A detailed analysis on nsl-kdd dataset using various machine learning techniques for intrusion detection;revathi;International Journal of Engineering Research & Technology (IJERT),2013

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