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On Understanding the Impact of RTT in the Mobile Network for Detecting the Rogue UAVs
- Source :
- IEEE Transactions on Cognitive Communications and Networking. 6:1218-1229
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- In recent times, Unmanned-aerial-vehicles (UAVs) have grasped significant attentions for performing various operations without a constant intervention of the human users. Due to the power and computing constraints, however, it is difficult for an UAV to perform all the tasks independently. Hence, to achieve its goals, a UAV may share various sensitive data with the nearest edge servers through some access points (APs). Prior to sending any sensitive information through an AP, it is very important for an UAV to determine the authenticity of the selected AP. In this paper, we have applied a timing-based algorithm for spotting rogue APs by the UAVs − while selecting an edge server. The timing-based algorithm does not require any additional hardware or any change in the network protocol for detection purpose. This fact, in turn, reduces the effort from UAV’s side for detecting a breach. An extensive experimental study shows that with a little manipulation in speed, an UAV can detect the presence of any rogue AP almost every time with only 6% false-positive rate.
- Subjects :
- Computer Networks and Communications
business.industry
Computer science
020208 electrical & electronic engineering
Real-time computing
ComputerApplications_COMPUTERSINOTHERSYSTEMS
020206 networking & telecommunications
02 engineering and technology
Spotting
Information sensitivity
Artificial Intelligence
Hardware and Architecture
Server
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Wireless
Enhanced Data Rates for GSM Evolution
business
Communications protocol
Wireless sensor network
Subjects
Details
- ISSN :
- 23722045
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Cognitive Communications and Networking
- Accession number :
- edsair.doi...........23840cf2fa9fb3e51df2ca8057e8c7d0
- Full Text :
- https://doi.org/10.1109/tccn.2020.3004583