Military Communications Conference
28 November – 2 December 2022 // National Capital Region, USA
Celebrating 40 Years of MILCOM - Transforming Decision Making through JADC2

WS-7: 2nd Workshop on the Internet of Things for Adversarial Environments

WS-7: 2nd Workshop on the Internet of Things for Adversarial Environments

This workshop solicits original work that advances the science of dynamically composing, operating, adapting, and assessing future intelligent, mission-critical IoT applications that operate in harsh, unfriendly, or adversarial environments. The motivating application examples include disaster response, first-responder support, rescue management, extreme environmental, and systems that, by their very nature, are subject to frequent adversarial action. A common thread across the above systems is the need for high resilience in the face of a broad array of threats. By soliciting original research on attaining resilient and dependable operation in such a broad spectrum of harsh IoT application contexts, the workshop aims to help the research community collectively distill fundamental insights, key concepts, best practices, and analytical foundations to support a next generation of IoT services for mission-critical applications in adversarial environments.

09:00-09:10 Chairs’ Welcome and Introduction to Workshop

09:10-10:10 Plenary I: Dr. Sastry Kompella, NRL.

10:10-10:30 NATO Invited Paper

  • (20 min) “Connecting the Battlespace: C2 and IoT Technical Interoperability in Tactical Federated Environments” Marco Manso (Particle Summary Ltd., Portugal), Janusz Furtak (Military University of Technology of Poland, Poland), Barbara Guerra (Particle Summary Ltd., Portugal), Frank T. Johnsen (Norwegian Defence Research Establishment (FFI), Norway), James Michaelis (U.S. Army Research Laboratory, USA), Daniel Ota (Fraunhofer FKIE, Germany), Niranjan Suri (Florida Institute for Human and Machine Cognition and U.S. Army Research Laboratory, USA), Konrad Wrona (NATO Cyber Security Centre, The Netherlands)

10:30-10:45 Break

10:45-11:30 Technical Session I: Battlefield IoT  

  • (20 min) “Towards Cyber Threat Intelligence for the IoT” Ismail Butun, Han Wang, Alfonso Iacovazzi and Shahid Raza (RISE Research Institutes of Sweden, Sweden)
  • (20 min) “Context-Aware Collaborative Neuro-Symbolic Inference in IoBTs” Tarek Abdelzaher (University of Illinois at Urbana-Champaign, IL, USA), Nathaniel Bastian (Army Cyber Institute, US Military Academy, West Point, NY, USA), Susmit Jha (SRI International, USA), Lance Kaplan (Army Research Laboratory, USA), Mani Srivastava (University of California, Los Angeles, CA, USA), Venugopal Veeravalli (University of Illinois at Urbana-Champaign, IL, USA)

   (5 min) General Discussion/Q&A

11:30-12:15 Technical Session II: Cyber Threats against UAVs

  • (20 min) “Adversarial Sybil Attacks Against Deep RL Based Drone Trajectory Planning” Adhitya Bantwal Bhandarkar (University of New Mexico, USA), Sudharman K Jayaweera (University of New Mexico & Bluecom Systems, USA), Steven Lane (Air Force Research Laboratory, USA)
  • (20 min) “Insights on Using Deep Learning to Spoof Inertial Measurement Units for Stealthy Attacks on UAVs” Kyo Hyun Kim (University of Illinois at Urbana-Champaign, IL, USA), Denizkhan Kara (University of Illinois at Urbana-Champaign, IL, USA), Vineetha Paruchuri (The George Washington University, USA), Sibin Mohan (The George Washington University, USA), Greg Kimberly (Boeing Research & Technology, USA), Denis Osipychev (Boeing Research & Technology, USA), Jae H. Kim (Boeing Research & Technology, USA), Josh D. Eckhardt (Boeing Research & Technology, USA), Miroslav Pajic (Duke University, USA)

   (5 min) General Discussion/Q&A

12:15-13:15 Lunch    

13:15-14:15 Panel: “Networking for AI and AI for Networking”

  • Dr. Satish Chikkagoudar, NRL
  • Prof. Sibin Mohan, GWU
  • Dr. Jonathan Pfautz, LEIDOS
  • Prof. Nirmalya Roy, UMBC
  • Dr. Maggie Wigness, ARL
  • Prof. Shuochao Yao, GMU

14:15-15:00 Technical Session III: Machine Learning Services

  • (20 min) “Graph Convolutional Network-Based Scheduler for Distributing Computation in the Internet of Robotic Things”, Jared R Coleman, Mehrdad Kiamari, Lillian Clark, Daniel DSouza and Bhaskar Krishnamachari (University of Southern California, USA)
  • (20 min) “Adversarial Machine Learning and Defense Game for NextG Signal Classification With Deep Learning” Yalin E Sagduyu (Virginia Tech, USA)

  (5 min) General Discussion/Q&A

15:00-15:15 Break

15:15-16:15 Plenary II: Prof. Prashant Shenoy

16:15-16:35 Position Paper

  • (20 min) “The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example”, Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek Abdelzaher (University of Illinois at Urbana Champaign, IL, USA), Brian Jalaian (University of West Florida and Florida Institute for Human and Machine Cognition, USA)

16:35-16:45  Workshop Conclusions

 

 

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