Abdurhman Albasir
Abdurhman Albasir
PhD candidate, ECE dept. @ University of Waterloo
Verified email at uwaterloo.ca
Cited by
Cited by
Vehicular networks for a greener environment: A survey
M Alsabaan, W Alasmary, A Albasir, K Naik
IEEE Communications Surveys & Tutorials 15 (3), 1372-1388, 2012
Smart mobile web browsing
A Albasir, K Naik, T Abdunabi
2013 International Joint Conference on Awareness Science and Technology …, 2013
Experimental study of energy and bandwidth costs of web advertisements on smartphones
A Albasir, K Naik, B Plourde, N Goel
6th International Conference on Mobile Computing, Applications and Services …, 2014
Detection of anomalous behavior of smartphones using signal processing and machine learning techniques
RSR James, A Albasir, K Naik, MY Dabbagh, P Dash, M Zamani, N Goel
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017
Smow: An energy-bandwidth aware web browsing technique for smartphones
AA Albasir, K Naik
IEEE Access 2, 1427-1441, 2014
A power signal based dynamic approach to detecting anomalous behavior in wireless devices
RJP Soundar Raja James, AA Albasir, K Naik, M Zaman, N Goel
Proceedings of the 16th ACM International Symposium on Mobility Management …, 2018
Using deep learning to classify power consumption signals of wireless devices: An application to cybersecurity
A Albasir, RSR James, K Naik, A Nayak
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Detection of unknown applications in smartphones: A signal processing perspective
RJPSR James, A Albasir, K Naik, MY Dabbagh, P Dash, M Zaman, ...
2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering …, 2017
Microwave sensor for imaging corrosion under coatings utilizing pattern recognition
A Ali, A Albasir, OM Ramahi
2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 951-952, 2016
Deep learning based approach for classifying power signals and detecting anomalous behavior of wireless devices
A Albasir, R Manzano, K Naik
2019 IEEE World Congress on Services (SERVICES) 2642, 92-98, 2019
Detection of Anomalous Behavior in Wireless Devices Using Changepoint Analysis
R Manzano, A Albasir, K Naik, J Kozlowski, N Goel
2019 IEEE International Congress on Internet of Things (ICIOT), 82-90, 2019
An evaluation of smartphone resources used by web advertisements
A Albasir
University of Waterloo, 2013
A Strongly Non-Intrusive Methodology to Monitor and Detect Anomalous Behaviour of Wireless Devices
A Albasir, K Naik, R Manzano, P Shah, N Naik
2020 IEEE International Symposium on Systems Engineering (ISSE), Vienna, 1-8, 2020
Data Driven Modelling of Nuclear Power Plant Performance Data as Finite State Machines
K Naik, MD Pandey, A Panda, A Albasir, K Taneja
Modelling 2 (1), 43-62, 2021
Unsupervised detection of security threats in cyberphysical system and IoT devices based on power fingerprints and RBM autoencoders
A Albasir, Q Hu, K Naik, N Naik
Journal of Surveillance, Security and Safety 1 (2), 1-25, 2021
Detection of Anomalous Behavior of IoT/CPS Devices Using Their Power Signals
A Albasir
University of Waterloo, 2020
Unsupervised Detection of Anomalous Behavior in Wireless Devices based on Auto-Encoders
A Albasir, Q Hu, M Al-tekreeti, K Naik, N Naik, AJ Kozlowski, N Goel
NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-7, 2020
Machine Learning Based Malware Detection in Wireless Devices Using Power Footprints
M Al-tekreeti, T Kapoor, R Manzano, A Albasir, K Naik, N Goel, ...
2019 International Symposium on Systems Engineering (ISSE), 1-8, 2019
An insight into mobile advertising and its impact on the resources of handheld devices: a survey
A Albasir, M Alsabaan, K Naik
International Journal of Big Data Intelligence 6 (1), 50-67, 2019
Performance Testing of Mobile Applications on Smartphones
A Albasir, V Mahinthan, K Naik, A Abogharaf, N Goel, BJ Plourde
International Journal of Handheld Computing Research (IJHCR) 5 (4), 36-47, 2014
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