Ali Alheeti, Khattab M and Al-Ani, Muzhir Shaban and McDonald-Maier, Klaus (2019) Spreading Code Identification of Legal Drones in IoT Environment. In: 2019 Eighth International Conference on Emerging Security Technologies (EST), 2019-07-22 - 2019-07-24, Colchester, United Kingdom.
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Abstract
The widespread use of drones has become very common today with large-scale civil and military applications. In the next few coming years, the outlook is expected that the number of drones will reach millions. So, these need to be well organised and managed in order to achieve the benefits of IoT with this accelerated environment. Drones or Unmanned Aerial Vehicles (UAVs) must achieved a level of communications to authenticate a legal working. The proposed approach concentrated on preparing each drone with identification key based on the combination of its international sim number with the date of the first action and the local country code. This approach is called Drone IDentification (DID) that generate a unique code for each drone via spreading technique. In this case any drone not apply this regulation is considered as unauthenticated drone and does not allowed to fly. This approach is very important to establish drone regulation via IoT.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published proceedings: 2019 Eighth International Conference on Emerging Security Technologies (EST) |
| Uncontrolled Keywords: | Drones; wireless vehicles; UAV; driverless vehicles; IoT Environment |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Elements |
| Depositing User: | Elements |
| Date Deposited: | 21 Jul 2020 08:13 |
| Last Modified: | 15 Jan 2022 01:29 |
| URI: | http://repository.essex.ac.uk/id/eprint/27611 |
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