Paresh Saxena

40 papers B 5C 2Misc 4Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
PRISM: Proximal policy optimization with deep Reinforcement learning for Intelligent Scheduling in Multipath QUIC under heterogeneous and hybrid 5G/B5G-satellite networks.
Comput. Commun.
Pattiwar Shravan Kumar, Paresh Saxena, Özgü Alay
2025 J jnl
DRL Empowered On-policy and Off-policy ABR for 5G Mobile Ultra-HD Video Delivery.
Mob. Networks Appl.
Mandan Naresh, Paresh Saxena, Manik Gupta
2025 J jnl
Discovering Attack Signature and Its Travel Path using Graphical Model in CPS: A Case Study.
ACM Trans. Cyber Phys. Syst.
Praneeta Maganti, Paresh Saxena, Rajib Ranjan Maiti
2025 — conf
Multi-critic Deep Reinforcement Learning for Enhanced Alert Prioritization in Intrusion Detection Systems.
AINA (5)
Lalitha Chavali, Paresh Saxena
2025 J jnl
Next-generation DRL empowered actor-critic schedulers for multipath QUIC in 5G vehicular IoT.
Internet Things
Pattiwar Shravan Kumar, Paresh Saxena, Ozgu Alay
2025 — conf
Performance Analysis of Multipath QUIC Schedulers for Video Streaming over Hybrid 5G-Satcom Networks.
NPC (1)
Pattiwar Shravan Kumar, Paresh Saxena, Ozgu Alay
2025 Misc conf
Transformer-based GAN-augmented Defender for Adversarial USB Keystroke Injection Attacks.
ICDCN
Anil Kumar Chillara, Paresh Saxena, Rajib Ranjan Maiti
2025 J jnl
USB-GATE: USB-based GAN-augmented transformer reinforced defense framework for adversarial keystroke injection attacks.
Int. J. Inf. Sec.
Anil Kumar Chillara, Paresh Saxena, Rajib Ranjan Maiti
2024 B conf
Computation Offloading in NTN-empowered MEC using Multi-Agent Distributed Deep Reinforcement Learning.
GLOBECOM
Nida Fatima, Paresh Saxena, Giovanni Giambene
2024 — conf
DEAR: DRL Empowered Actor-Critic ScheduleR for Multipath QUIC Under 5G/B5G Hybrid Networks.
AINA (1)
Pattiwar Shravan Kumar, Paresh Saxena, Özgü Alay
2024 J jnl
Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards.
Int. J. Inf. Sec.
Anil Kumar Chillara, Paresh Saxena, Rajib Ranjan Maiti, Manik Gupta, Raghu Kondapalli, Zhichao Zhang, Krishnakumar Kesavan
2024 J jnl
Deep reinforcement learning based computation offloading for xURLLC services with UAV-assisted IoT-based multi-access edge computing system.
Wirel. Networks
Nida Fatima, Paresh Saxena, Giovanni Giambene
2024 — conf
GRadient sharing A3C for Adaptive Bitrate (GRAAB): A DRL Based Approach for Adaptive Video Streaming.
ICOIN
Mandan Naresh, Paresh Saxena, Manik Gupta
2024 — conf
Knowledge Empowered Deep Reinforcement Learning to Prioritize Alerts Generated by Intrusion Detection Systems.
AINA (4)
Lalitha Chavali, Paresh Saxena, Barsha Mitra
2024 J jnl
Off-policy actor-critic deep reinforcement learning methods for alert prioritization in intrusion detection systems.
Comput. Secur.
Lalitha Chavali, Abhinav Krishnan, Paresh Saxena, Barsha Mitra, Aneesh Sreevallabh Chivukula
2024 J jnl
Relationship between resource scheduling and distributed learning in IoT edge computing - An insight into complementary aspects, existing research and future directions.
Internet Things
Harsha Varun Marisetty, Nida Fatima, Manik Gupta, Paresh Saxena
2023 C conf
Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services.
WoWMoM
Mandan Naresh, Paresh Saxena, Manik Gupta
2023 J jnl
Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services.
CoRR
Mandan Naresh, Paresh Saxena, Manik Gupta
2023 B conf
PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming.
IWCMC
Mandan Naresh, Paresh Saxena, Manik Gupta
2023 J jnl
PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming.
CoRR
Mandan Naresh, Paresh Saxena, Manik Gupta
2022 J jnl
Deep reinforcement learning based QoE-aware actor-learner architectures for video streaming in IoT environments.
Computing
Mandan Naresh, Vikramjeet Das, Paresh Saxena, Manik Gupta
2022 — conf
INGR Satellite Roadmap - 2022 Edition.
FNWF
Sastri Kota, Giovanni Giambene, Mohammed Y. Abdelsadek, Mohamed-Slim Alouini, Sarath Babu, Joan Bas, Sachin Chaudhari, Debabrata Dalai, Tasneem Darwish, Tomaso de Cola, Thomas Delamotte, Ashutosh Dutta, Ayush Dwivedi, Michael A. Enright, Marco Giordani, Alberto Gotta, Eman M. Hammad, Tamer Khattab, Andreas Knopp, Gunes Karabulut-Kurt, B. S. Manoj, Jean-Daniel Medjo Me Biomo, Prashant Pillai, Pramud Rawat, Paresh Saxena, Pat Scanlan, Avinash Sharma, Ray Sperber, Zhili Sun, Daniele Tarchi, Neeraj Varshney, Seema Verma, Halim Yanikomeroglu, Kanglian Zhao, Liang Zhao
2022 J jnl
Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions.
Phys. Commun.
Nida Fatima, Paresh Saxena, Manik Gupta
2022 Misc conf
Performance analysis of Multipath Transport layer schedulers under 5G/B5G hybrid networks.
COMSNETS
Pattiwar Shravan Kumar, Nida Fatima, Paresh Saxena
2022 Misc conf
SAC-ABR: Soft Actor-Critic based deep reinforcement learning for Adaptive BitRate streaming.
COMSNETS
Mandan Naresh, Nandiraju Gireesh, Paresh Saxena, Manik Gupta
2022 B conf
SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert Prioritization.
CEC
Lalitha Chavali, Tanay Gupta, Paresh Saxena
2022 J jnl
SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert Prioritization.
CoRR
Lalitha Chavali, Tanay Gupta, Paresh Saxena
2020 J jnl
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code.
CoRR
Shivaank Agarwal, Ravindra Gudi, Paresh Saxena
2020 B conf
NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks.
GLOBECOM
Paresh Saxena, Mandan Naresh, Manik Gupta, Anirudh Achanta, Sastri Kota, Smrati Gupta
2020 J jnl
NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks.
CoRR
Paresh Saxena, Mandan Naresh, Manik Gupta, Anirudh Achanta, Sastri Kota, Smrati Gupta
2020 Misc conf
One-Shot learning based classification for segregation of plastic waste.
DICTA
Shivaank Agarwal, Ravindra Gudi, Paresh Saxena
2020 J jnl
One-Shot learning based classification for segregation of plastic waste.
CoRR
Shivaank Agarwal, Ravindra Gudi, Paresh Saxena
2020 — conf
Resilient Hybrid SatCom and Terrestrial Networking for Unmanned Aerial Vehicles.
INFOCOM Workshops
Paresh Saxena, Thomas Dreibholz, Harald Skinnemoen, Özgü Alay, M. A. Vazquez-Castro, Simone Ferlin, Güray Açar
2018 C conf
SatNetCode: Functional Design and Experimental Validation of Network Coding over Satellite.
ISNCC
M. A. Vazquez-Castro, Paresh Saxena, Tan Do-Duy, TF. Vamstad, Harald Skinnemoen
2018 J jnl
Taxonomy of Coding Techniques for Efficient Network Communications.
RFC
Brian Adamson, Cédric Adjih, Josu Bilbao, Victor Firoiu, Frank H. P. Fitzek, Samah A. M. Ghanem, Emmanuel Lochin, Antonia Masucci, Marie-José Montpetit, Morten Videbæk Pedersen, Goiuri Peralta, Vincent Roca, Paresh Saxena, Senthil Sivakumar
2015 J jnl
DARE: DoF-Aided Random Encoding for Network Coding Over Lossy Line Networks.
IEEE Commun. Lett.
Paresh Saxena, Maria Angeles Vázquez-Castro
2015 J jnl
Link Layer Systematic Random Network Coding for DVB-S2X/RCS.
IEEE Commun. Lett.
Paresh Saxena, Maria Angeles Vázquez-Castro
2015 — conf
Network Coding over Satellite: From Theory to Design and Performance.
WISATS
M. A. Vazquez-Castro, Paresh Saxena
2013 — conf
Network Coding Advantage over MDS Codes for Multimedia Transmission via Erasure Satellite Channels.
PSATS
Paresh Saxena, Maria Angeles Vázquez-Castro
2012 B conf
Interference-free regions with Han-Kobayashi scheme for M-QAM and scalar channels.
WiMob
Paresh Saxena, Maria Angeles Vázquez-Castro