Towards Autonomous Security: A Solution for the Evolving Threat Landscape

#automation #security #control #engineering
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In today's dynamic and interconnected world, the pace of change is accelerating at an unprecedented rate. As our systems and technologies become increasingly intelligent and automated, we are presented with new opportunities and challenges. The growing interconnectivity in every aspect of life has undoubtedly enhanced convenience and efficiency, but it has also introduced vulnerabilities, paving the way for emerging cyber threats.

This seminar aims to explore the pressing need for automation and intelligence in our security systems to effectively combat the ever-evolving threat landscape. We will delve into a cutting-edge solution – an autonomous security system capable of not only identifying new, previously unseen threats but also autonomously learning from them without any human intervention.

The key focus of this seminar will be on the concept of incremental learning and the open world recognition problem. We will discuss how this innovative security system addresses these challenges. By adapting to new threats as they emerge and continuously updating its knowledge base, this autonomous system ensures that it remains vigilant and capable of defending against even the most sophisticated and novel attacks.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 16 Nov 2023
  • Time: 12:00 PM to 01:00 PM
  • All times are (UTC-04:00) Atlantic Time (Canada)
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Talk: Towards Autonomous Security: A Solution for the Evolving Threat Landscape
Thursday, November 16 · 11:00am – 12:00pm
Time zone: America/New_York
Google Meet joining info
Video call link: https://meet.google.com/ebw-evgh-tur
Or dial: ‪(CA) +1 778-724-6521‬ PIN: ‪498 151 991‬#
More phone numbers: https://tel.meet/ebw-evgh-tur?pin=2965542125096
Or join via SIP: sip:2965542125096@meet.ieee.org

  • Contact Event Hosts
  • VICE CHAIR IEEE CAS/SSC CHAPTER R7

  • Co-sponsored by MUHAMMAD USMAN ASAD
  • Starts 03 October 2023 12:00 PM
  • Ends 16 November 2023 12:00 PM
  • All times are (UTC-04:00) Atlantic Time (Canada)
  • No Admission Charge


  Speakers

IRFAN IRFAN of Clean and Resilient Energy Systems (CARES) Lab, Texas A&M University Galveston, TX, USA

Topic:

Towards Autonomous Security: A Solution for the Evolving Threat Landscape

In today's dynamic and interconnected world, the pace of change is accelerating at an unprecedented rate. As our systems and technologies become increasingly intelligent and automated, we are presented with new opportunities and challenges. The growing interconnectivity in every aspect of life has undoubtedly enhanced convenience and efficiency, but it has also introduced vulnerabilities, paving the way for emerging cyber threats.

This seminar aims to explore the pressing need for automation and intelligence in our security systems to effectively combat the ever-evolving threat landscape. We will delve into a cutting-edge solution – an autonomous security system capable of not only identifying new, previously unseen threats but also autonomously learning from them without any human intervention.

The key focus of this seminar will be on the concept of incremental learning and the open world recognition problem. We will discuss how this innovative security system addresses these challenges. By adapting to new threats as they emerge and continuously updating its knowledge base, this autonomous system ensures that it remains vigilant and capable of defending against even the most sophisticated and novel attacks.

Biography:

Irfan Khan (S’14, M’ 18, SM’ 20) is the director at Clean and Resilient Energy Systems (CARES) Lab at Texas A&M University, Galveston, TX USA. He has a joint appointment with the Electrical and Computer Engineering Department of Texas A&M University (TAMU), College Station, TX USA. Dr. Khan is an affiliate faculty member with the TAMU Energy Institute and the TEES Smart Grid Center. Before joining TAMU in 2018, Dr. Khan received a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University USA. His current research interests include the control and optimization of smart energy networks, optimization of energy storage systems, DC Microgrids, smart grids, and renewable energy resources. He has published more than 50 refereed journal and conference papers in the smart energy systems related areas.

Dr. Khan is a registered Professional Engineer (P.E.) with the State of Texas, USA. He is the Vice-Chair for the IEEE PES Joint chapter of Region 5 Galveston Bay Section (GBS). Dr. Khan was the registration chair at the IEEE sponsored International Symposium on Measurement and Control in Robotics, organized at the University of Houston Clear Lake on September 19-21, 2019. He has organized several special sessions at various international conferences. Further, Dr. Khan is a regular reviewer of more than 30 reputed journals and conferences, wherein the year 2020, he reviewed more than 230 articles. He is also helping with editorial responsibilities at various journals.

Affiliation: Clean and Resilient Energy Systems (CARES) Lab, Texas A&M University Galveston, TX, USA  Email address: irfankhan@tamu.edu

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Address:United States