Hybrid Deep Learning Model for Cyber-Attack Detection

Author:

Premkumar M.1,Lakshmi R2,Velrajkumar P.3,Priya S.Gayathri4,Tanguturi Rama Chaithanya5,Murali S6,Sivaramkrishnan M.7

Affiliation:

1. Mahendra Institute of Technology (Autonomous),Department of Information Technology,Mallasamudharam,Namakkal,India

2. RNS Institute of Technology, Bengaluru affiliated to VTU,Department of Computer Science and Engineering,Belgaum,India

3. CMR Institute of Technology,Bengaluru,India

4. R. M. D. Engineering College, Kavaraipettai,Department of Electronics and Communication Engineering,Chennai,India

5. PACE Institute of Technology and Sciences,Department of Computer Science and Engineering,Ongole,Andhra Pradesh,India

6. Velammal College of Engineering and Technology,Department of Computer Science and Engineering,Madurai,India

7. Karpagam College of Engineering,Department of EEE,Coimbatore,India

Publisher

IEEE

Reference15 articles.

1. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;alzubaidi;J Big Data,2021

2. Normalization: A Preprocessing Stage

3. Appliance Classification using BiLST M Neural Networks and Feature Extraction;correa-delval;2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe),2021

4. A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

5. A Comparative Study of Categorical Variable Encoding Techniques for Neural Network Classifiers

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