DC-BANDA: Decentralized Blockchain-Assisted Network for Drone Authentication
DC-BANDA: Decentralized Blockchain-Assisted Network for Drone Authentication
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Securing airspace network for the smooth operation of drone transportation through Artificial intelligence and blockchain technology.
Securing airspace network for the smooth operation of drone transportation through Artificial intelligence and blockchain technology.
Sponsored by the National Research Foundation (NRF), South Korea through the Ministry of Education, Science, and Technology (MEST) under grant number 2018R1A6A1A03024003.
(a) Statistics of surging rise in drone invasion in the U.S. (b) Flow of proposed system (c) Sample of real-time detection
The various stages of the project (a) Dataset collection (b) Designing of AI model (c) Training of the AI-blockchain model (d) Testing and deploying of model for real-life operation
The various stages of the project (a) Dataset collection (b) Designing of AI model (c) Training of the AI-blockchain model (d) Testing and deploying of model for real-life operation
Methodology & Model
As the team leader of the anti-drone and drone technologies project, my team comprises three (3) master's degree students and one (1) Ph.D. student. The goal of the project was to develop a robust hybrid-based drone detection and surveillance system for smooth drone operation to counter the abusive deployment of drones. The project outcomes include: a dataset patent (VisioDECT), DRONET model, an ALIEN model, and a DC-BANDA model.
As the team leader of the anti-drone and drone technologies project, my team comprises three (3) master's degree students and one (1) Ph.D. student. The goal of the project was to develop a robust hybrid-based drone detection and surveillance system for smooth drone operation to counter the abusive deployment of drones. The project outcomes include: a dataset patent (VisioDECT), DRONET model, an ALIEN model, and a DC-BANDA model.
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