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Fusion: Practice and Applications

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Online: 2692-4048 Print: 2770-0070
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Open access journal. All articles are freely available online with no APC.

Fusion: Practice and Applications
Full Length Article

Volume 9Issue 2PP: 27-47 • 2022

Deep Learning Fusion for Attack Detection in Internet of Things Communications

Ossama Embarak 1* ,
Mhmed Algrnaodi 2
1Higher Colleges of Technology (HCT), UAE
2Electrical Engineering Department, Ecole de technologie superieure, Montreal, Canada
* Corresponding Author.
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Open Access & Copyright

© 2022 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

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

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format_quote
Embarak, Ossama, Algrnaodi, Mhmed. "Deep Learning Fusion for Attack Detection in Internet of Things Communications." Fusion: Practice and Applications, vol. Volume 9, no. Issue 2, 2022, pp. 27-47. DOI: https://doi.org/10.54216/FPA.090203
Embarak, O., Algrnaodi, M. (2022). Deep Learning Fusion for Attack Detection in Internet of Things Communications. Fusion: Practice and Applications, Volume 9(Issue 2), 27-47. DOI: https://doi.org/10.54216/FPA.090203
Embarak, Ossama, Algrnaodi, Mhmed. "Deep Learning Fusion for Attack Detection in Internet of Things Communications." Fusion: Practice and Applications Volume 9, no. Issue 2 (2022): 27-47. DOI: https://doi.org/10.54216/FPA.090203
Embarak, O., Algrnaodi, M. (2022) 'Deep Learning Fusion for Attack Detection in Internet of Things Communications', Fusion: Practice and Applications, Volume 9(Issue 2), pp. 27-47. DOI: https://doi.org/10.54216/FPA.090203
Embarak O, Algrnaodi M. Deep Learning Fusion for Attack Detection in Internet of Things Communications. Fusion: Practice and Applications. 2022;Volume 9(Issue 2):27-47. DOI: https://doi.org/10.54216/FPA.090203
O. Embarak, M. Algrnaodi, "Deep Learning Fusion for Attack Detection in Internet of Things Communications," Fusion: Practice and Applications, vol. Volume 9, no. Issue 2, pp. 27-47, 2022. DOI: https://doi.org/10.54216/FPA.090203
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