ORCID Profile
0000-0003-2450-4337
Current Organisation
Deakin University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: IEEE
Date: 06-06-2022
Publisher: IEEE
Date: 05-2011
Publisher: Elsevier BV
Date: 02-2021
Publisher: IEEE
Date: 06-2017
Publisher: MDPI AG
Date: 30-06-2022
DOI: 10.3390/FI14070205
Abstract: Drones are increasingly adopted to serve a smart city through their ability to render quick and adaptive services. They are also known as unmanned aerial vehicles (UAVs) and are deployed to conduct area surveillance, monitor road networks for traffic, deliver goods and observe environmental phenomena. Cyber threats posed through compromised drones contribute to sabotage in a smart city’s airspace, can prove to be catastrophic to its operations, and can also cause fatalities. In this contribution, we propose a machine learning-based approach for detecting hijacking, GPS signal jamming and denial of service (DoS) attacks that can be carried out against a drone. A detailed machine learning-based classification of drone datasets for the DJI Phantom 4 model, compromising both normal and malicious signatures, is conducted, and results obtained yield advisory to foster futuristic opportunities to safeguard a drone system against such cyber threats.
Publisher: Security Research Institute, Edith Cowan University
Date: 2018
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 10-2011
DOI: 10.1109/CW.2011.35
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 2020
Publisher: IEEE
Date: 12-2011
Publisher: Elsevier BV
Date: 04-2023
Publisher: Wiley
Date: 03-07-2012
DOI: 10.1002/SEC.575
Publisher: Informa UK Limited
Date: 12-06-2020
Publisher: Elsevier BV
Date: 09-2021
Publisher: IEEE
Date: 12-2020
Publisher: Elsevier BV
Date: 09-2017
Publisher: Institution of Engineering and Technology
Date: 04-2019
DOI: 10.1049/PBSE010E
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Location: Saudi Arabia
No related grants have been discovered for Naeem Firdous Syed.