The 49th IEEE Conference on Local Computer Networks (LCN), October 8-10, 2024, in Caen, Normandy, France

LCN Keynote Presentations

Tuesday, 08 October 2024

Internet Traffic Analysis at Scale

Anja Feldmann

Direktor, Max Planck Institut für Informatik
Saarbrücken, Germany


In this talk I will use multiple Internet measurement studies as examples to outline the benefits of performing Internet scale traffic analysis, including Implications of the COVID-19 Pandemic on Internet traffic, Digital vs. analog footprints, Best Practices for DNS measurements, and Collaborative Detection and Mitigation of Amplification DDoS Attacks.


Anja Feldmann got her Ph.D. from Carnegie Mellon University in 1995. The next four years she did research work at AT&T Labs Research, before taking professor positions at Saarland University, the TU Munich, and TU Berlin. From 2012 to 2018 she served on Supervisory Board of SAP SE. Since the beginning of 2018, Anja is a director at the Max Planck Institute for Informatics in Saarbruecken, Germany. She is an ACM fellow, member of multiple academies, and was on the steering committees of Sigcomm, IMC, ToN, and CoNEXT. She was TPC-chair of Sigcomm, IMC, CoNEXT, as well as HotNets. Among others she received the IEEE Koji Kobayashi award, the Konrad-Zuse-Medaille of the German Computer Science Society.

Wednesday, 09 October 2024

Learning and sensing in the sky with UAV-aided 6G Networks

David Gesbert

Director and Professor, Mobile Communications Laboratory
Sophia Antipolis, France


The use of terrestrial or flying robots carrying radio equipment is the new promising frontier in our quest towards ever more flexible, adaptable wireless networks. Interestingly, robot-augmented networks are not only useful towards connectivity: They provide unique sensing capabilities. The ultimate selling point of in-network robots lies in their ability to self-navigate in 2D or 3D so as to optimize their data collection and consequently their sensing performance. However, scientific and practical challenges are also plentiful. In this talk we review recent work on robot-aided sensing and connectivity. Progress with real-life experiments and future directions will be reported.


Prof. David Gesbert (Fellow, IEEE) is serving as Dean and Director of EURECOM, Sophia Antipolis, France ( He received the Ph.D. degree from TelecomParis, France, in 1997. From 1997 to 1999, he was with the Information Systems Laboratory, Stanford University. He was a founding engineer of Iospan Wireless Inc., a Stanford spin off pioneering MIMO-OFDM (currently Intel). Before joining EURECOM in 2004, he was with the Department of Informatics, University of Oslo. He has published about 350 articles and 25 patents, 7 of them winning IEEE Best paper awards. He has been the Technical Program Co-Chair for ICC2017 and has been named a Thomson-Reuters Highly Cited Researchers in computer science. He is a Board Member for the OpenAirInterface (OAI) Software Alliance. He was a previous awardee of an ERC Advanced Grant in the area of future networks. In 2020, he was also awarded funding by the French Interdisciplinary Institute on Artificial Intelligence for a Chair in the area of AI for the future IoT. In 2021, he received the Grand Prix in Research jointly from IMT and the French Academy of Sciences.

Foundational and Specialized Models for Cyberdefense

Dario Rossi

Director, DataCom Lab
Huawei Paris Research Center
Paris , France


The recent breakthrough of Foundational models in the field of Natural Language Processing opens promising venues for the management, operation and security of networks. In this keynote, we explore the capabilities of Large Language Models to assist or substitute devices (i.e., firewalls, honeypots) and humans (i.e., security expert) respectively in the detection and analysis of security incidents. In particular, we argue for the benefits of decoupled architectural where frozen foundational LLM models are assisted in their task by much leaner and lightweight specialized LLM (or ML) models. As concrete examples throughout the keynote, we take the case of cyberdefense, considering Honeypot and Firewall/IDS use-cases.


Dario Rossi is a Senior Expert in Huawei, currently serving as Director of the AI4NET Lab, and Director of the DataCom Department at the Huawei Paris Research Center. He holds an HDR from UPMC (2010), and PhD and MSc degrees from Politecnico di Torino (2005 and 2001 respectively). Before joining Huawei in 2018, he occupied a Chair Professor (2016-2018), Full Professor (2012-2016) and Associate Professor (2006-2012) positions at the Computer Science and Networking department of Telecom ParisTech, and was also a Professor at the LIX department of Ecole Polytechnique (2012-2019). Prior to that, he was a researcher in the Electrical Engineering department at Politecnico di Torino (2001-2006) and held a Visiting Researcher position in the Computer Science division at University of California, Berkeley (2003-2004). He chaired and participated in the steering and technical program committees of 50+ conferences (including IEEE INFOCOM, ACM CoNEXT, ACM SIGCOMM and AAAI) and 5 journals (incl. several IEEE Transactions). He has coauthored 20+ patents and 200+ papers in leading conference, that attracted 10+ awards, 8000+ citations for an H-Index excess of 45+. He received several distinctions such as a Google Faculty Research Award (2015), an IETF Applied Network Research Prize (2016), and has been honored with Distinguished Member recognition from the INFOCOM TPC (2015, 2016, 2017, 2019, 2023). He is a Member of IET and CLAIRE, Senior Member of IEEE (2013) and Distinguished Member of ACM (2023).