- 2023
- Kai Cui
, Lars Baumgärtner, Mustafa Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl:
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. LCN 2023: 1-8 - Matthias Frank, Spartak Ehrlich:
Demo: Realtime Recording of IDN-Streams with the Audio Stream Input/Output (ASIO) Protocol. LCN 2023: 1-3 - Daniel Weber, Christoph Fuchs, Nils Auler, Bertram Schütz, Nils Aschenbruck:
Multipath TCP Scheduling in the Age of Buffer Bloat Optimizations. LCN 2023: 1-8 - Eric Wagner, Nils Rothaug, Konrad Wolsing, Lennart Bader, Klaus Wehrle, Martin Henze:
Retrofitting Integrity Protection into Unused Header Fields of Legacy Industrial Protocols. LCN 2023: 1-9 - Mustafa Ilhan Akbas, Mahesh Menase, Rahul Razdan:
Demo: Modular Test Frameworks for PolyVerif Autonomous Vehicle Validation Environment. LCN 2023: 1-4 - Mohammad Majid Akhtar, Ishan Karunanayake, Bibhas Sharma, Rahat Masood, Muhammad Ikram, Salil S. Kanhere:
Towards Automatic Annotation and Detection of Fake News. LCN 2023: 1-9 - Ibrahim M. Amer, Sarah Adel Bargal, Sharief M. A. Oteafy, Hossam S. Hassanein:
Demo: Leveraging Edge Intelligence for Affective Communication over URLLC. LCN 2023: 1-4 - Ibrahim M. Amer, Sharief M. A. Oteafy, Hossam S. Hassanein:
Affective Communication of Sensorimotor Emotion Synthesis over URLLC. LCN 2023: 1-4 - Jonas Andre, Stephan M. Günther, Georg Carle:
An Accuracy Study of Emulation Daemons for IEEE 802.11 Networks. LCN 2023: 1-9 - Md Washik Al Azad, Hasniuj Zahan, Sifat Ut Taki, Spyridon Mastorakis:
DarkHorse: A UDP-based Framework to Improve the Latency of Tor Onion Services. LCN 2023: 1-6 - Pia Baumstark, David Monschein, Oliver P. Waldhorst:
Secure Plaintext Acquisition of Homomorphically Encrypted Results for Remote Processing. LCN 2023: 1-4 - Taylor Bradley, Lanier Watkins, Elie Alhajjar:
Autonomic Cyber Security Enhanced with Survival Analysis (ACSeSA). LCN 2023: 1-9 - Lucas Bréhon-Grataloup, Rahim Kacimi, André-Luc Beylot:
Field Trial for Enhanced V2X Multi-RAT Handover in Autonomous Vehicle Networks. LCN 2023: 1-8 - Alexander Brundiers, Timmy Schüller, Nils Aschenbruck:
Combining Midpoint Optimization and Conventional End-to-End Segment Routing for Traffic Engineering. LCN 2023: 1-9 - Michael Burke, Mohamed Younis:
Humidity Estimation Using WiFi Channel State Information. LCN 2023: 1-4 - Amirahmad Chapnevis, Eyuphan Bulut:
AoI-Optimal Cellular-Connected UAV Trajectory Planning for IoT Data Collection. LCN 2023: 1-6 - Luyao Chen, Yong Tang, Siyang Chen, Jingwen Xia, Ting Yang, Wenyong Wang:
Beyond the Field of View: Neglected Audio Part in VR Video Transmission Frameworks. LCN 2023: 1-4 - Daniel Commey, Benjamin Appiah, Bill K. Frimpong, Isaac Osei, Ebenezer N. A. Hammond, Garth V. Crosby:
EGAN: Evolutional GAN for Ransomware Evasion. LCN 2023: 1-9 - Brien Croteau:
Lessons Learned from Teaching a Maritime Industrial Control Systems Cybersecurity Course. LCN 2023: 1-6 - Erik Daniel, Marcel Ebert, Florian Tschorsch:
Improving Bitswap Privacy with Forwarding and Source Obfuscation. LCN 2023: 1-4 - Cuong Dao, Van Tong, Nam-Thang Hoang, Hai Anh Tran, Truong X. Tran:
Enhancing Encrypted Traffic Classification with Deep Adaptation Networks. LCN 2023: 1-4 - Logan Drazovich, Susanne Wetzel:
Cyber Insurance in the Maritime Transportation System. LCN 2023: 1-6 - Rathindra Nath Dutta, Sasthi C. Ghosh:
Non-optimal is Good! Resource Allocation in Presence of Dynamic Obstacles in D2D Networks. LCN 2023: 1-7 - Rathindra Nath Dutta, Sasthi C. Ghosh:
Energy Efficient Resource Allocation for D2D Communications using Reinforcement Learning. LCN 2023: 1-7 - Philippe Ea, Paul Vidart, Osman Salem, Ahmed Mehaoua:
Cyberbullying Messages Detection: A Comparative Study of Machine Learning Algorithms. LCN 2023: 1-4 - Negar Emami, Antonio Di Maio, Torsten Braun:
FedForce: Network-adaptive Federated Learning for Reinforced Mobility Prediction. LCN 2023: 1-9 - Alessandro Cantelli Forti, Michele Colajanni, Silvio Russo:
Penetrating the Silence: Data Exfiltration in Maritime and Underwater Scenarios. LCN 2023: 1-6 - Abdelhamid Garah, Nader Mbarek, Sergey Kirgizov:
Decision Tree-Based Confidentiality Self-Management in the Internet of Things. LCN 2023: 1-4 - Junkai He, Makhlouf Hadji, Djamal Zeghlache:
Constrained Dynamic Virtual Network Embedding. LCN 2023: 1-6 - Richard Hernandez, Oscar G. Bautista, Mohammad Hossein Manshaei, Abdulhadi Sahin, Kemal Akkaya:
Outsourcing Privacy-Preserving Federated Learning on Malicious Networks through MPC. LCN 2023: 1-4
