Federated Learning-Based Cognitive Detection of Jamming Attack in Flying Ad-Hoc Network
Flying Ad-hoc Network (FANET) is a decentralized communication system solely formed by Unmanned Aerial Vehicles (UAVs). In FANET, the UAV clients are vulnerable to various malicious attacks such as the jamming attack. The aerial adversaries in the jamming attack disrupt the communication of the vict...
Main Authors: | Nishat I. Mowla, Nguyen H. Tran, Inshil Doh, Kijoon Chae |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8945183/ |
Similar Items
-
DMP: Detouring Using Multiple Paths against Jamming Attack for Ubiquitous Networking System
by: Mihui Kim, et al.
Published: (2010-04-01) -
Jamming-Resilient Multipath Routing Protocol for Flying Ad Hoc Networks
by: Cong Pu
Published: (2018-01-01) -
On-Device AI-Based Cognitive Detection of Bio-Modality Spoofing in Medical Cyber Physical System
by: Nishat I. Mowla, et al.
Published: (2019-01-01) -
An Energy-Aware and Predictive Fuzzy Logic-Based Routing Scheme in Flying Ad Hoc Networks (FANETs)
by: Sang-Woong Lee, et al.
Published: (2021-01-01) -
Place Classification using Dempster-Shafer Theory
by: Siemiątkowska Barbara, et al.
Published: (2017-09-01)