Distinguished Lecture Series: SDN/NFV and 5G Security - Opportunities and Challenges

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Distinguished Lecture and Panel Session


AGENDA

1:00 - 1:45 PM ET Distinguished Lecture - Security in SDN/NFV and 5G Networks – Opportunities and Challenges

2:00 - 3:00 PM Panel Session - AI/ML for 5G Network and Spectrum Security

Moderator - Alex Lackpour, Drexel University

Panelists

Eman Hammad, Texas A&M University/RELLIS
Yalin Sagduyu, Intelligent Automation, Inc.
Michael A. Enright, Quantum Dimension, Inc.
Ashutosh Dutta, Johns Hopkins University Applied Physics Laboratory (JHU/APL)

 

DL Title: Security in SDN/NFV and 5G Networks – Opportunities and Challenges

Abstract: Software Defined Networking (SDN) and Network Function Virtualization (NFV) are the key pillars of future networks, including 5G and beyond that promise to support emerging applications such as enhanced mobile broadband, ultra-low latency, massive sensing type applications while providing the resiliency in the network. Service providers and other vertical industries (e.g., Connected Cars, IOT, eHealth) can leverage SDN/NFV to provide flexible and cost-effective service without compromising the end user quality of service (QoS). While NFV and SDN open up the door for flexible networks and rapid service creation, these also offer both security opportunities while also introducing additional challenges and complexities, in some cases. With the rapid proliferation of 4G and 5G networks, operators have now started the trial deployment of network function virtualization, especially with the introduction of various virtualized network elements in the access and core networks. While several standardization bodies (e.g., ETSI, 3GPP, NGMN, ATIS, IEEE) have started looking into the many security issues introduced by SDN/NFV, additional work is needed with larger security community including vendors, operators, universities, and regulators.

This talk will address evolution of cellular technologies towards 5G but will largely focus on various security challenges and opportunities introduced by SDN/NFV and 5G networks such as Hypervisor, Virtual Network Functions (VNFs), SDN controller, orchestrator, network slicing, cloud RAN, edge cloud, and security function virtualization. This talk will introduce a threat taxonomy for 5G security from an end-to-end system perspective, potential threats introduced by these enablers, and associated mitigation techniques. At the same time, some of the opportunities introduced by these pillars will also be discussed. This talk will also highlight some of the ongoing activities within various standards communities and will illustrate a few deployment use case scenarios for security including threat taxonomy for both operator and enterprise networks.

After the Distinguished Lecture, a panel session on AI/ML for 5G Network and Spectrum Security will be held which will be moderated by Alex Lockpour. 

 

Speaker: Ashutosh Dutta, Ph.D., IEEE Fellow

Ashutosh Dutta is currently senior scientist and 5G Chief Strategist at the Johns Hopkins University Applied Physics Laboratory (JHU/APL).  He is also a JHU/APL Sabbatical Fellow and adjunct faculty at The Johns Hopkins University. Ashutosh also serves as the chair for Electrical and Computer Engineering Department of Engineering for Professional Program at Johns Hopkins University. His career, spanning more than 30 years, includes Director of Technology Security and Lead Member of Technical Staff at AT&T, CTO of Wireless for NIKSUN, Inc., Senior Scientist and Project Manager in Telcordia Research, Director of the Central Research Facility at Columbia University, adjunct faculty at NJIT, and Computer Engineer with TATA Motors. He has more than 100 conference, journal publications, and standards specifications, three book chapters, and 31 issued patents. Ashutosh is co-author of the book, titled, “Mobility Protocols and Handover Optimization: Design, Evaluation and Application” published by IEEE and John & Wiley.

As a Technical Leader in 5G and security, Ashutosh has been serving as the founding Co-Chair for the IEEE Future Networks Initiative that focuses on 5G standardization, education, publications, testbed, and roadmap activities. Ashutosh serves as IEEE Communications Society's Distinguished Lecturer for 2017-2020 and as an ACM Distinguished Speaker (2020-2022) Ashutosh has served as the general Co-Chair for the premier IEEE 5G World Forums and has organized 70 5G World Summits around the world.

Ashutosh served as the chair for IEEE Princeton / Central Jersey Section, Industry Relation Chair for Region 1 and MGA, Pre-University Coordinator for IEEE MGA and vice chair of Education Society Chapter of PCJS. He co-founded the IEEE STEM conference (ISEC) and helped to implement EPICS (Engineering Projects in Community Service) projects in several high schools. Ashutosh has served as the general Co-Chair for the IEEE STEM conference for the last 10 years. Ashutosh served as the Director of Industry Outreach for IEEE Communications Society from 2014-2019. He was recipient of the prestigious 2009 IEEE MGA Leadership award and 2010 IEEE-USA professional leadership award. Ashutosh currently serves as Member-At-Large for IEEE Communications Society for 2020-2022.

Ashutosh obtained his BS in Electrical Engineering from NIT Rourkela, India; MS in Computer Science from NJIT; and Ph.D. in Electrical Engineering from Columbia University, New York under the supervision of Prof. Henning Schulzrinne.  Ashutosh is a Fellow of IEEE and senior member of ACM.

 



  Date and Time

  Location

  Hosts

  Registration



  • Date: 21 Dec 2020
  • Time: 01:00 PM to 03:00 PM
  • All times are US/Eastern
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  • Princeton, NJ
  • United States

  • Starts 16 December 2020 11:00 AM
  • Ends 21 December 2020 03:00 PM
  • All times are US/Eastern
  • No Admission Charge


  Speakers

Topic:

Panelists - AI/ML for 5G Network and Spectrum Security

Dr. Eman Hammad is an interdisciplinary researcher focusing on cybersecurity, trustworthy & resilient critical infrastructure systems. She obtained her PhD in Electrical & Computer Engineering from the University of Toronto. Eman combines practical experience and theoretical research to shape her vision for resilient-by-design solutions in the connected world. Eman's primary focus is on how a deeper understanding of interactions between critical physical systems, communication and enabling technologies can help design new classes of operational solutions that are more resilient to cyber/physical disruptions. Her research has been recognized with merit awards (best paper award, best poster award) and has been featured on the Smart Cybersecurity Network.

Eman is a senior IEEE member who has been an active volunteer, and is currently serving as the co-chair of the IEEE 5G Security working group for the International Network Generations Roadmap (INGR). She delivered several invited talks in academic and industrial conferences, chaired and co-chaired several conferences and workshops. Eman is an active advocate for diversity in STEM and Cybersecurity. Her service has been recognized by IEEE chapter achievement and exemplary service awards.

 

Mr. Alex Lackpour (Panel Moderator) is a wireless systems engineer experienced in leading R&D projects for commercial and federal government customers. He received a MSEE degree from Pennsylvania State University and is currently pursuing a part-time Ph.D. in Telecommunications from Drexel University in Philadelphia, PA. As a member of the IEEE DySPAN Standards Committee, he is chairing a new standard on Machine Learned Spectrum Awareness for RF systems. In his current role as Technical Advisor in NOAA’s Radio Frequency Management Division, he assesses the electromagnetic compatibility of meteorological radar with other RF systems.

 

Topic:

Panelists - AI/ML for 5G Network and Spectrum Security

Dr. Yalin Sagduyu is the Director of Networks and Security at Intelligent Automation, Inc. (IAI). He received his Ph.D. degree in Electrical and Computer Engineering from the University of Maryland at College Park in 2007. At IAI, he directs a broad portfolio of R&D projects on wireless communications, networks, security, machine learning, data analytics, embedded computing, 5G and beyond. He has served as the Principal Investigator and the Program Manager for numerous government-funded projects in these R&D areas. His R&D work has supported various commercial products and contributed to transition successes. He served as a Track Chair at IEEE PIMRC, IEEE GlobalSIP and IEEE MILCOM, and in the organizing committee of IEEE GLOBECOM. He organized and chaired workshops at IEEE CNS, IEEE ICNP, ACM Mobicom, and ACM WiSec. He received the Best Paper Award at IEEE HST in 2018. 

 

Dr. Michael A. Enright is the CEO and President of Quantum Dimension, Inc. and has 30 years of experience in security, Artificial Intelligence (AI)and Machine Learning (ML), cellular engineering, image and video processing, RF communication and GPS and non-GPS navigation design.  He leads the development of Quantum Dimension’s prototype and product developments and his core expertise is in signal processing.  Dr. Enright has four degrees in three engineering fields that include: Ph.D. in Electrical Engineering from the University of Southern California (USC), M.S. in Electrical Engineering from the Illinois Institute of Technology, M.S. in Mechanical Engineering from the University of Missouri-Columbia and B.S. in Aeronautical and Astronautical Engineering from the University of Illinois at Champaign-Urbana.  Additionally, he has earned certificates in Cybersecurity from New York University and Cloud Computing from Georgia Tech University.  Dr. Enright is a Senior Member of the IEEE.

At Quantum Dimension, Dr. Enright has been the principal investigator for the company’s technology developments.  This includes the development of GPS and non-GPS related technologies: GPS-denied navigation network, digital signal processor (DSP), graphics processor unit (GPU) and field-programmable gate array (FPGA) based software-defined radios (SDR), development of a high-precision terrestrial aircraft landing using advanced signal processing, and a high-efficiency mobile power amplifier technology for the cellular communication.  Prior to founding Quantum Dimension, Dr. Enright was a researcher with the Signal and Image Processing Institute (SIPI) and the Integrated Media Systems Center (IMSC) at USC, where he worked on multimedia cross-layer communication techniques. Prior to joining USC, Dr. Enright led the development of the video compression architecture for Boeing Digital Cinema with MPEG-2, MPEG-4, and JPEG2000 coding algorithms. He also acted as an information security lead for network security on that program.  He was responsible for the design and development of a space-based phased-array antenna subsystem at Hughes Space and Communication.  Prior to Hughes, Dr. Enright worked at Motorola Cellular on the handset design for the Iridium satellite system. His role encompassed many tasks from the design of advanced digital signal processing algorithms for wireless communication to research on next-generation satellite systems. He began his signal processing career at AT&T Bell Laboratories in Naperville, Illinois, where he developed DSP software for telephone switching systems.

Dr. Enright has been an Adjunct Professor in the Electrical Engineering Department at USC, where he taught both undergraduate and graduate courses in image and signal processing, digital communications, and wireless communication systems and design.  Dr. Enright is an active researcher with numerous conference and journal papers applicable to development of advanced signal processing techniques.  He has been a peer reviewer for numerous IEEE journal publications





Agenda

1:00 - 1:45 PM ET Distinguished Lecture - Security in SDN/NFV and 5G Networks – Opportunities and Challenges

2:00 - 3:00 PM Panel Session - AI/ML for 5G Network and Spectrum Security

Moderator - Alex Lackpour, Drexel University

Panelists

Eman Hammad, Texas A&M University/RELLIS
Yalin Sagduyu, Intelligent Automation, Inc.
Michael A. Enright, Quantum Dimension, Inc.
Ashutosh Dutta, Johns Hopkins University Applied Physics Laboratory (JHU/APL)