Please Join Ashutosh Dutta on 5G Security and AI/ML – Opportunities and Challenges
Please join Dr. Ashutosh Dutta, Chief 5G Strategist , founding Co-Chair for the IEEE Future Networks , speech on
5G Security and AI/ML – Opportunities and Challenges.
Bio: Ashutosh Dutta, Chief 5G Strategist and Director of Doctor of Engineering Program, Johns Hopkins University
Ashutosh brings in a unique blend of industry and academic experience. He is currently Chief 5G Strategist at The Johns Hopkins University Applied Physics Labs and serves as associate research professor and the director of Doctor of Engineering program at Johns Hopkins University in addition to his teaching. His past career spanning more than 30 years, includes Director of Technology Security and Lead Member of Technical Staff at AT&T, CTO of cybersecurity company NIKSUN, Senior Scientist in Telcordia Research, Director of Central Research Facility at Columbia University, and Computer Engineer with TATA Motors. Ashutosh has published more than 110 papers, IEEE-Wiley book on Handoff Optimization, 6 book chapters and has 31 issued patents.
As a Technical Leader in 5G, Ashutosh has served as the founding Co-Chair for the IEEE Future Networks (https://futurenetworks.ieee.org/), IEEE Connecting The Unconnected (ctu.ieee.org) and IEEE 5G/6G Innovation Testbed (testbed.ieee.org). Ashutosh served as IEEE Communications Society’s Distinguished Lecturer for 2017-2020. He has served in IEEE Communications Society’s director of Industry Outreach Board (2014-2019) and has been serving as Member-At-Large (2020-2025). He initiated and organized more than 90 5G Summits around the world (www.5gsummit.org) and has served as founding Co-Chair of IEEE Future Networks World Forum (https://fnwf2025.ieee.org/) since 2018. Ashutosh has served as Workshop Co-Chair in ICC and Industry Forum and Exhibits Co-Chair in Globecom. His most notable awards include, 2022 North American Region Exceptional Service Award, 2009 IEEE MGA Leadership award, 2022 IEEE-USA George F. McClure Citation of Honor, and IPv6 Hall of Fame in 2024. Ashutosh is a Distinguished Alumnus of NIT Rourkela with BS in Electrical Engineering, MS in Computer Science from NJIT, and Ph.D. in Electrical Engineering from Columbia University under the supervision of Prof. Henning Schulzrinne. Ashutosh is a Fellow of IEEE, Distinguished member of ACM, Fellow of AAIA, and Member of National Academy of Artificial Intelligence. Ashutosh is currently a candidate for IEEE Communication Society's VP of Conferences.
Abstract: Next generation cellular networks such as 5G and 6G promise to support emerging applications such as enhanced mobile broadband, mission critical applications for the first responder, remote surgery, and industrial IOT among others. While Network Function Virtualization and Software Defined Networking open up the door for programmable networks and rapid service creation, these also offer both security opportunities, and introduces additional challenges and complexities. The talk focuses on various security challenges and opportunities introduced by 5G enablers such as Hypervisor, Virtual Network Functions (VNFs), SDN controller, orchestrator, network slicing, cloud RAN, edge cloud, and virtual security function. This talk introduces threat taxonomy for 5G security from an end-to-end system perspective including, interfaces, protocols, potential threats introduced by these enablers, and associated mitigation techniques. Additionally, this talk highlights how AI/ML can help enhance security features of these networks and elaborates some adverse effects of AI/ML. Finally, the talk introduces some of the ongoing activities within various standards communities including open source consortiums, large scale NSF testbeds, and illustrates a few deployment use case scenarios.
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- Date: 18 Jun 2025
- Time: 01:00 AM UTC to 02:00 AM UTC
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Ashutosh
5G Security and AI/ML – Opportunities and Challenges
Abstract: Next generation cellular networks such as 5G and 6G promise to support emerging applications such as enhanced mobile broadband, mission critical applications for the first responder, remote surgery, and industrial IOT among others. While Network Function Virtualization and Software Defined Networking open up the door for programmable networks and rapid service creation, these also offer both security opportunities, and introduces additional challenges and complexities. The talk focuses on various security challenges and opportunities introduced by 5G enablers such as Hypervisor, Virtual Network Functions (VNFs), SDN controller, orchestrator, network slicing, cloud RAN, edge cloud, and virtual security function. This talk introduces threat taxonomy for 5G security from an end-to-end system perspective including, interfaces, protocols, potential threats introduced by these enablers, and associated mitigation techniques. Additionally, this talk highlights how AI/ML can help enhance security features of these networks and elaborates some adverse effects of AI/ML. Finally, the talk introduces some of the ongoing activities within various standards communities including open source consortiums, large scale NSF testbeds, and illustrates a few deployment use case scenarios.
Biography:
Ashutosh brings in a unique blend of industry and academic experience. He is currently Chief 5G Strategist at The Johns Hopkins University Applied Physics Labs and serves as associate research professor and the director of Doctor of Engineering program at Johns Hopkins University in addition to his teaching. His past career spanning more than 30 years, includes Director of Technology Security and Lead Member of Technical Staff at AT&T, CTO of cybersecurity company NIKSUN, Senior Scientist in Telcordia Research, Director of Central Research Facility at Columbia University, and Computer Engineer with TATA Motors. Ashutosh has published more than 110 papers, IEEE-Wiley book on Handoff Optimization, 6 book chapters and has 31 issued patents.
As a Technical Leader in 5G, Ashutosh has served as the founding Co-Chair for the IEEE Future Networks (https://futurenetworks.ieee.