User profiles for Paul Patras
 | Paul PatrasNet AI / The University of Edinburgh Verified email at ieee.org Cited by 3883 |
Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure. …
services pose unprecedented demands on mobile and wireless networking infrastructure. …
Optimal configuration of 802.11 e EDCA for real-time and data traffic
The enhanced distributed channel access (EDCA) mechanism of the IEEE 802.11e standard
provides quality-of-service (QoS) support through service differentiation by using different …
provides quality-of-service (QoS) support through service differentiation by using different …
ZipNet-GAN: Inferring fine-grained mobile traffic patterns via a generative adversarial neural network
Large-scale mobile traffic analytics is becoming essential to digital infrastructure provisioning,
public transportation, events planning, and other domains. Monitoring city-wide mobile …
public transportation, events planning, and other domains. Monitoring city-wide mobile …
Long-term mobile traffic forecasting using deep spatio-temporal neural networks
Forecasting with high accuracy the volume of data traffic that mobile users will consume is
becoming increasingly important for precision traffic engineering, demand-aware network …
becoming increasingly important for precision traffic engineering, demand-aware network …
Adversarial attacks against deep learning-based network intrusion detection systems and defense mechanisms
…, X Costa-Perez, P Patras - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
Neural networks (NNs) are increasingly popular in developing NIDS, yet can prove vulnerable
to adversarial examples. Through these, attackers that may be oblivious to the precise …
to adversarial examples. Through these, attackers that may be oblivious to the precise …
Dead on arrival: An empirical study of the Bluetooth 5.1 positioning system
The recently released Bluetooth 5.1 specification introduces fine-grained positioning
capabilities in this wireless technology, which is deemed essential to context-/location-based …
capabilities in this wireless technology, which is deemed essential to context-/location-based …
Anatomy of a vulnerable fitness tracking system: Dissecting the fitbit cloud, app, and firmware
Fitbit fitness trackers record sensitive personal information, including daily step counts, heart
rate profiles, and locations visited. By design, these devices gather and upload activity data …
rate profiles, and locations visited. By design, these devices gather and upload activity data …
Tiki-taka: Attacking and defending deep learning-based intrusion detection systems
Neural networks are increasingly important in the development of Network Intrusion Detection
Systems (NIDS), as they have the potential to achieve high detection accuracy while …
Systems (NIDS), as they have the potential to achieve high detection accuracy while …
Driver behavior recognition via interwoven deep convolutional neural nets with multi-stream inputs
Understanding driver activity is vital for in-vehicle systems that aim to reduce the incidence
of car accidents rooted in cognitive distraction. Automating real-time behavior recognition …
of car accidents rooted in cognitive distraction. Automating real-time behavior recognition …
Adaptive clustering-based malicious traffic classification at the network edge
The rapid uptake of digital services and Internet of Things (IoT) technology gives rise to
unprecedented numbers and diversification of cyber attacks, with which commonly-used rule-…
unprecedented numbers and diversification of cyber attacks, with which commonly-used rule-…