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Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

Wufei Wu1, Javad Hassannataj Joloudari2,3,4, Senthil Kumar Jagatheesaperumal5, Kandala N. V. P. S. Rajesh6, Silvia Gaftandzhieva7,*, Sadiq Hussain8, Rahimullah Rabih9, Najibullah Haqjoo10, Mobeen Nazar11, Hamed Vahdat-Nejad9, Rositsa Doneva12

1 School of Information Engineering, Nanchang University, Nanchang, 330031, China
2 Department of Computer Engineering, Technical and Vocational University (TVU), Tehran, 4631964198, Iran
3 Department of Computer Engineering, University of Birjand, Birjand, 9717434765, Iran
4 Department of Computer Engineering, Babol Branch, Islamic Azad University, Babol, 3738147471, Iran
5 Department of Electronics & Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, 626 005, India
6 School of Electronics Engineering, VIT-AP University, Near Vijayawada, 522 237, India
7 Faculty of Mathematics and Informatics, University of Plovdiv Paisii Hilendarski, Plovdiv, 4000, Bulgaria
8 Examination Branch, Dibrugarh University, Dibrugarh, 786004, India
9 Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, 9717434765, Iran
10 Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, 9717434765, Iran
11 Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur, 50250, Malaysia
12 Faculty of Physics and Technology, University of Plovdiv Paisii Hilendarski, Plovdiv, 4000, Bulgaria

* Corresponding Author: Silvia Gaftandzhieva. Email: email

TSP_CMC_53037.pdf

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