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Paul Patras
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- affiliation: University of Edinburgh, UK
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2020 – today
- 2024
- [j30]Alec F. Diallo
, Paul Patras
Deciphering Clusters With a Deterministic Measure of Clustering Tendency. IEEE Trans. Knowl. Data Eng. 36(4): 1489-1501 (2024) - [j29]Alec F. Diallo
Cluster and Conquer: Malicious Traffic Classification at the Edge. IEEE Trans. Netw. Serv. Manag. 21(3): 2700-2714 (2024) - [j28]Weihe Li
P-Sketch: A Fast and Accurate Sketch for Persistent Item Lookup. IEEE/ACM Trans. Netw. 32(2): 987-1002 (2024) - [c33]Livia Elena Chatzieleftheriou, Marco Gramaglia, Andres Garcia-Saavedra, Steffen Gebert, Gines Garcia-Aviles, Stefan Geissler, Marco Fiore, Paul Patras, Andra Lutu, Dimitris Tsolkas, Md. Arifur Rahman:
Towards 6G: Architectural Innovations and Challenges in the ORIGAMI Framework. EuCNC/6G Summit 2024: 1139-1144 - [c32]Alec F. Diallo
Sabre: Cutting through Adversarial Noise with Adaptive Spectral Filtering and Input Reconstruction. SP 2024: 2901-2919 - [c31]Weihe Li
Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing. WWW 2024: 4227-4238 - [i21]Alec F. Diallo, Vaishak Belle, Paul Patras:
Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and Reasoning. CoRR abs/2410.05484 (2024) - 2023
- [j27]Luyang Xu, Haoyu Liu
TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks. Comput. Networks 221: 109518 (2023) - [j26]Haoyu Liu
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning. PACMNET 1(CoNEXT3): 9:1-9:25 (2023) - [c30]Weihe Li
Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size. CIKM 2023: 1328-1337 - [c29]Haoyu Liu
Android OS Privacy Under the Loupe - A Tale from the East. WISEC 2023: 31-42 - [i20]Haoyu Liu, Douglas J. Leith, Paul Patras:
Android OS Privacy Under the Loupe - A Tale from the East. CoRR abs/2302.01890 (2023) - [i19]Haoyu Liu, Alec F. Diallo, Paul Patras:
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning. CoRR abs/2310.20469 (2023) - 2022
- [j25]Haoyu Liu
NetSentry: A deep learning approach to detecting incipient large-scale network attacks. Comput. Commun. 191: 119-132 (2022) - [j24]Narengerile
Deep reinforcement learning-based beam training with energy and spectral efficiency maximisation for millimetre-wave channels. EURASIP J. Wirel. Commun. Netw. 2022(1): 110 (2022) - [j23]Yini Fang, Salih Ergüt
SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting. IEEE Commun. Lett. 26(3): 582-586 (2022) - [j22]Chaoyun Zhang, Xavier Costa-Pérez
Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms. IEEE/ACM Trans. Netw. 30(3): 1294-1311 (2022) - [j21]Weihe Li
VAMP: A Predictive Approach to Audio/Video Bitrate Adaptation Over Wireless Networks. IEEE Wirel. Commun. Lett. 11(3): 513-517 (2022) - [i18]Haoyu Liu, Paul Patras:
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks. CoRR abs/2202.09873 (2022) - [i17]Luyang Xu, Haoyu Liu, Junping Song, Rui Li, Yahui Hu, Xu Zhou, Paul Patras:
TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks. CoRR abs/2203.02083 (2022) - 2021
- [c28]Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras:
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. AAAI 2021: 10851-10858 - [c27]Yini Fang, Alec F. Diallo
Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction. GLOBECOM 2021: 1-6 - [c26]Alec F. Diallo
Adaptive Clustering-based Malicious Traffic Classification at the Network Edge. INFOCOM 2021: 1-10 - [c25]Michael Michaelides, Cigdem Sengul, Paul Patras:
An Experimental Evaluation of MQTT Authentication and Authorization in IoT. WiNTECH 2021: 69-76 - [c24]Narengerile, John S. Thompson, Paul Patras, Tharmalingam Ratnarajah:
Deep Reinforcement Learning-Based Beam Training for Spatially Consistent Millimeter Wave Channels. PIMRC 2021: 579-584 - [e2]Eiko Yoneki, Paul Patras:
EuroMLSys@EuroSys 2021, Proceedings of the 1st Workshop on Machine Learning and Systemsg Virtual Event, Edinburgh, Scotland, UK, 26 April, 2021. ACM 2021, ISBN 978-1-4503-8298-4 [contents] - 2020
- [j20]Chaoyun Zhang
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs. IEEE Access 8: 191138-191151 (2020) - [j19]Claudio Fiandrino
A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks. IEEE Commun. Mag. 58(6): 20-25 (2020) - [j18]Rui Li, Paul Patras
Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls. IEEE Trans. Mob. Comput. 19(8): 1879-1895 (2020) - [c23]Chaoyun Zhang, Xavier Costa-Pérez
Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems. CCSW 2020: 27-39 - [c22]Jorge Sanz Maroto, Haoyu Liu
On the Struggle Bus: A Detailed Security Analysis of the m-tickets App. ISC 2020: 234-252 - [c21]Marco Cominelli
One GPU to Snoop Them All: a Full-Band Bluetooth Low Energy Sniffer. MedComNet 2020: 1-4 - [c20]Chaoyun Zhang, Marco Fiore, Cezary Ziemlicki, Paul Patras:
Microscope: mobile service traffic decomposition for network slicing as a service. MobiCom 2020: 38:1-38:14 - [c19]Marco Cominelli
Even Black Cats Cannot Stay Hidden in the Dark: Full-band De-anonymization of Bluetooth Classic Devices. SP 2020: 534-548 - [i16]Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault, Harold Hernández, Elisa Cabana, Amanda García-García, Payman Arabshahi, Carlos Baquero
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics. CoRR abs/2005.12783 (2020)
2010 – 2019
- 2019
- [j17]Chaoyun Zhang
Deep Learning in Mobile and Wireless Networking: A Survey. IEEE Commun. Surv. Tutorials 21(3): 2224-2287 (2019) - [c18]Chaoyun Zhang, Marco Fiore, Paul Patras
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. M&N 2019: 1-6 - [c17]Marco Cominelli
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System. WiNTECH 2019: 13-20 - [c16]Haoyu Liu
Uncovering Security Vulnerabilities in the Belkin WeMo Home Automation Ecosystem. PerCom Workshops 2019: 894-899 - [i15]Chaoyun Zhang, Marco Fiore, Paul Patras:
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. CoRR abs/1905.09771 (2019) - [i14]Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras:
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. CoRR abs/1907.12410 (2019) - [i13]Marco Cominelli, Paul Patras, Francesco Gringoli:
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System. CoRR abs/1909.08063 (2019) - 2018
- [j16]Nicolò Facchi, Francesco Gringoli
Maximising the utility of enterprise millimetre-wave networks. Comput. Commun. 119: 29-42 (2018) - [j15]Jiska Classen, Daniel Wegemer, Paul Patras
Anatomy of a Vulnerable Fitness Tracking System: Dissecting the Fitbit Cloud, App, and Firmware. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 5:1-5:24 (2018) - [j14]Rui Li, Chaoyun Zhang, Paul Patras
Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks. SIGMETRICS Perform. Evaluation Rev. 46(3): 163-166 (2018) - [j13]Andres Garcia-Saavedra
ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum. IEEE/ACM Trans. Netw. 26(6): 2665-2678 (2018) - [j12]Francesco Gringoli, Paul Patras
Performance Assessment of Open Software Platforms for 5G Prototyping. IEEE Wirel. Commun. 25(5): 10-15 (2018) - [c15]Francesco Gringoli, Nahla M. Ali, Fabrizio Guerrini, Paul Patras
A Flexible Framework for Debugging IoT Wireless Applications. MetroInd4.0&IoT 2018: 230-235 - [c14]Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras
Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. MLN 2018: 146-165 - [c13]Chaoyun Zhang, Paul Patras
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. MobiHoc 2018: 231-240 - [i12]Andres Garcia-Saavedra, Paul Patras, Víctor Valls, Xavier Costa-Pérez, Douglas J. Leith:
ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum. CoRR abs/1802.01360 (2018) - [i11]Chaoyun Zhang, Paul Patras, Hamed Haddadi:
Deep Learning in Mobile and Wireless Networking: A Survey. CoRR abs/1803.04311 (2018) - [i10]Rui Li, Chaoyun Zhang, Paul Patras, Pan Cao, John S. Thompson:
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. CoRR abs/1810.00356 (2018) - [i9]Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon, Paul Patras:
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs. CoRR abs/1811.09128 (2018) - 2017
- [j11]Nicolò Facchi, Francesco Gringoli, David Malone
Imola: A decentralised learning-driven protocol for multi-hop White-Fi. Comput. Commun. 105: 157-168 (2017) - [c12]Chaoyun Zhang, Xi Ouyang, Paul Patras
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. CoNEXT 2017: 363-375 - [c11]Hossein Fereidooni, Jiska Classen, Tom Spink
Breaking Fitness Records Without Moving: Reverse Engineering and Spoofing Fitbit. RAID 2017: 48-69 - [i8]Nicolò Facchi, Francesco Gringoli, Paul Patras:
Maximising the Utility of Enterprise Millimetre-Wave Networks. CoRR abs/1706.04278 (2017) - [i7]Hossein Fereidooni, Jiska Classen, Tom Spink, Paul Patras, Markus Miettinen, Ahmad-Reza Sadeghi, Matthias Hollick, Mauro Conti:
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit. CoRR abs/1706.09165 (2017) - [i6]Rui Li, Paul Patras:
Max-Min Fair Millimetre-Wave Backhauling. CoRR abs/1709.07078 (2017) - [i5]Chaoyun Zhang, Xi Ouyang, Paul Patras:
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. CoRR abs/1711.02413 (2017) - [i4]Chaoyun Zhang, Paul Patras:
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. CoRR abs/1712.08083 (2017) - 2016
- [j10]Paul Patras
Rigorous and practical proportional-fair allocation for multi-rate Wi-Fi. Ad Hoc Networks 36: 21-34 (2016) - [j9]Paul Patras
Policing 802.11 MAC Misbehaviours. IEEE Trans. Mob. Comput. 15(7): 1728-1742 (2016) - [c10]C. Capretti, Francesco Gringoli, Nicolò Facchi, Paul Patras
LTE/Wi-Fi co-existence under scrutiny: an empirical study. WiNTECH 2016: 33-40 - [c9]Rui Li, Paul Patras
WiHaul: max-min fair wireless backhauling over multi-hop millimetre-wave links. HotWireless@MobiCom 2016: 56-60 - [c8]Nicolò Facchi, Francesco Gringoli, David Malone
When is the right time to transmit in multi-hop White-Fi? WoWMoM 2016: 1-3 - [c7]Gek Hong Sim, Rui Li, Cristina Cano
Learning from experience: Efficient decentralized scheduling for 60GHz mesh networks. WoWMoM 2016: 1-9 - [e1]Dimitrios Koutsonikolas, Paul Patras:
Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization, WiNTECH@MobiCom 2016, New York City, New York, USA, October 3-7, 2016. ACM 2016, ISBN 978-1-4503-4252-0 [contents] - 2014
- [j8]Paul Patras
Mitigating collisions through power-hopping to improve 802.11 performance. Pervasive Mob. Comput. 11: 41-55 (2014) - [i3]Paul Patras, Andres Garcia-Saavedra, David Malone, Douglas J. Leith:
Rigorous and Practical Proportional-fair Allocation for Multi-rate Wi-Fi. CoRR abs/1411.6685 (2014) - 2013
- [j7]Pablo Serrano
Control theoretic optimization of 802.11 WLANs: Implementation and experimental evaluation. Comput. Networks 57(1): 258-272 (2013) - [c6]Anastasios Giannoulis, Paul Patras
Mobile Access of Wide-Spectrum Networks: Design, deployment and experimental evaluation. INFOCOM 2013: 1708-1716 - [c5]David Malone
802.11 Buffers: When Bigger Is Not Better? WiFlex 2013: 37-48 - [c4]Hessan Feghhi, Paul Patras
Practical node policing in 802.11WLANs. WOWMOM 2013: 1-3 - [i2]Paul Patras, Hessan Feghhi, David Malone, Douglas J. Leith:
Policing 802.11 MAC Misbehaviour. CoRR abs/1311.5014 (2013) - 2012
- [j6]Pablo Serrano
Greening wireless communications: Status and future directions. Comput. Commun. 35(14): 1651-1661 (2012) - [j5]Albert Banchs, Pablo Serrano
Providing Throughput and Fairness Guarantees in Virtualized WLANs Through Control Theory. Mob. Networks Appl. 17(4): 435-446 (2012) - [j4]Paul Patras
A control theoretic scheme for efficient video transmission over IEEE 802.11e EDCA WLANs. ACM Trans. Multim. Comput. Commun. Appl. 8(3): 29:1-29:23 (2012) - [c3]Pablo Salvador, Stefano Paris, Claudio Pisa, Paul Patras, Yan Grunenberger, Xavier Pérez Costa, Janusz Gozdecki:
A modular, flexible and virtualizable framework for IEEE 802.11. Future Network & Mobile Summit 2012: 1-8 - [c2]Paul Patras
Exploiting the capture effect to improve WLAN throughput. WOWMOM 2012: 1-9 - [i1]Pablo Serrano, Paul Patras, Andrea Mannocci, Vincenzo Mancuso, Albert Banchs:
Control Theoretic Optimization of 802.11 WLANs: Implementation and Experimental Evaluation. CoRR abs/1203.2970 (2012) - 2011
- [j3]Paul Patras
A Control-Theoretic Approach to Distributed Optimal Configuration of 802.11 WLANs. IEEE Trans. Mob. Comput. 10(6): 897-910 (2011) - [c1]Johannes Lessmann, Antonio de la Oliva, Cigdem Sengul, Andres Garcia-Saavedra, Mathias Kretschmer, Seán Murphy, Paul Patras:
On the scalability of carrier-grade mesh network architectures. Future Network & Mobile Summit 2011: 1-8 - 2010
- [j2]Pablo Serrano
Optimal Configuration of 802.11e EDCA for Real-Time and Data Traffic. IEEE Trans. Veh. Technol. 59(5): 2511-2528 (2010)
2000 – 2009
- 2009
- [j1]Paul Patras
A Control Theoretic Approach for Throughput Optimization in IEEE 802.11e EDCA WLANs. Mob. Networks Appl. 14(6): 697-708 (2009)
Coauthor Index
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last updated on 2024-11-19 21:47 CET by the dblp team
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