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Fusion: Practice and Applications
Volume 9 , Issue 2, PP: 27-47 , 2022 | Cite this article as | XML | Html |PDF

Title

Deep Learning Fusion for Attack Detection in Internet of Things Communications

  Ossama Embarak 1 * ,   Mhmed Algrnaodi 2

1  Higher Colleges of Technology (HCT), UAE
    (: oembarak@hct.ac.ae)

2  Electrical Engineering Department, Ecole de technologie superieure, Montreal, Canada
    (mhmed.algrnaodi.1@ens.etsmtl.ca)


Doi   :   https://doi.org/10.54216/FPA.090203

Received: May 19, 2022 Accepted: September 11, 2022

Abstract :

The increasing deep learning techniques used in multimedia and network/IoT solve many problems and increase performance. Securing the deep learning models, multimedia, and network/IoT has become a major area of research in the past few years which is considered to be a challenge during generative adversarial attacks over the multimedia or network/IoT. Many efforts and studies try to provide intelligent forensics techniques to solve security issues. This paper introduces a holistic organization of intelligent multimedia forensics that involve deep learning fusion, multimedia, and network/IoT forensics to attack detection. We highlight the importance of using deep learning fusion techniques to obtain intelligent forensics and security over multimedia or Network/IoT. Finally, we discuss the key challenges and future directions in the area of intelligent multimedia forensics using deep learning fusion techniques.

Keywords :

Deep Learning Fusion; IoT; Network; Multimedia; Attack Detection.

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Cite this Article as :
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MLA Ossama Embarak , Mhmed Algrnaodi. "Deep Learning Fusion for Attack Detection in Internet of Things Communications." Fusion: Practice and Applications, Vol. 9, No. 2, 2022 ,PP. 27-47 (Doi   :  https://doi.org/10.54216/FPA.090203)
APA Ossama Embarak , Mhmed Algrnaodi. (2022). Deep Learning Fusion for Attack Detection in Internet of Things Communications. Journal of Fusion: Practice and Applications, 9 ( 2 ), 27-47 (Doi   :  https://doi.org/10.54216/FPA.090203)
Chicago Ossama Embarak , Mhmed Algrnaodi. "Deep Learning Fusion for Attack Detection in Internet of Things Communications." Journal of Fusion: Practice and Applications, 9 no. 2 (2022): 27-47 (Doi   :  https://doi.org/10.54216/FPA.090203)
Harvard Ossama Embarak , Mhmed Algrnaodi. (2022). Deep Learning Fusion for Attack Detection in Internet of Things Communications. Journal of Fusion: Practice and Applications, 9 ( 2 ), 27-47 (Doi   :  https://doi.org/10.54216/FPA.090203)
Vancouver Ossama Embarak , Mhmed Algrnaodi. Deep Learning Fusion for Attack Detection in Internet of Things Communications. Journal of Fusion: Practice and Applications, (2022); 9 ( 2 ): 27-47 (Doi   :  https://doi.org/10.54216/FPA.090203)
IEEE Ossama Embarak, Mhmed Algrnaodi, Deep Learning Fusion for Attack Detection in Internet of Things Communications, Journal of Fusion: Practice and Applications, Vol. 9 , No. 2 , (2022) : 27-47 (Doi   :  https://doi.org/10.54216/FPA.090203)