Context Aware Transformer with Graph Attention Intrusion Detection Systemfor UAV Enabled Fog Computing Networks

Authors

  • Dipti Prava Sahu Dr. B. L. Raina

Keywords:

Classification, Cybersecurity, Fog Computing, Intrusion Detection, Transformer, Unmanned Aerial Vehicles

Abstract

The integration of unmanned aerial vehicles (UAVs) with fog computing has rapidly expanded in applicationssuch as military surveillance, disaster response, smart agriculture, traffic monitoring, and healthcare delivery.Recent studies report that nearly 70% of UAV communication systems are exposed to cyber vulnerabilities, while denial-of-service and replay attacks contribute to a major portion of UAV network disruptions

References

. Mkiramweni, Mbazingwa Elirehema, Chungang Yang, Jiandong Li, and Wei Zhang. "A survey of game theory in unmanned aerial vehicles communications." IEEE Communications Surveys & Tutorials 21, no. 4 (2019): 3386-3416.

. Dahiya, Susheela, and Manik Garg. "Unmanned aerial vehicles: Vulnerability to cyber attacks." In International Conference on Unmanned Aerial System in Geomatics, pp. 201-211. Cham: Springer International Publishing, 2019.

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Published

2020-06-20

How to Cite

Dipti Prava Sahu Dr. B. L. Raina. (2020). Context Aware Transformer with Graph Attention Intrusion Detection Systemfor UAV Enabled Fog Computing Networks . Journal of Computational Analysis and Applications (JoCAAA), 28(6), 168–180. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5510

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Section

Articles