Sotabase

Career

· CEO and Co-founder, Net AI2024–
· Associate Professor / Professor of Mobile Intelligence, University of Edinburgh2013–

Publications (73)

Deep Learning in Mobile and Wireless Networking: A Survey
IEEE Communications Surveys and Tutorials · 2018
1,433
cited
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing · 2017
272
cited
Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms
IEEE/ACM Transactions on Networking · 2022
105
cited
Optimal Configuration of 802.11e EDCA for Real-Time and Data Traffic
IEEE Transactions on Vehicular Technology · 2010
104
cited
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System
Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization · 2019
80
cited
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
Conference on Emerging Network Experiment and Technology · 2017
71
cited
Anatomy of a Vulnerable Fitness Tracking System
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2018
70
cited
Adaptive Clustering-based Malicious Traffic Classification at the Network Edge
IEEE Conference on Computer Communications · 2021
60
cited
Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems
Cloud Computing Security Workshop · 2020
59
cited
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs
IEEE Access · 2018
55
cited
Greening wireless communications: Status and future directions
Computer Communications · 2012
52
cited
Edinburgh Research Explorer Performance Assessment of Open Software Platforms for 5G Prototyping
2018
45
cited
A Control-Theoretic Approach to Distributed Optimal Configuration of 802.11 WLANs
IEEE Transactions on Mobile Computing · 2011
39
cited
A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks
IEEE Communications Magazine · 2020
37
cited
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
AAAI Conference on Artificial Intelligence · 2019
37
cited
Breaking Fitness Records Without Moving: Reverse Engineering and Spoofing Fitbit
International Symposium on Recent Advances in Intrusion Detection · 2017
36
cited
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories
IEEE International Workshop on Measurement and Networking · 2019
35
cited
Microscope: mobile service traffic decomposition for network slicing as a service
ACM/IEEE International Conference on Mobile Computing and Networking · 2020
31
cited
Even Black Cats Cannot Stay Hidden in the Dark: Full-band De-anonymization of Bluetooth Classic Devices
IEEE Symposium on Security and Privacy · 2020
28
cited
SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting
IEEE Communications Letters · 2022
27
cited
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Paul Patras | Researcher Profile | Sotabase | Sotabase