The First International Workshop on Internet of Things for Adversarial Environments
Monday, 29 April, 2019 ● 08:00 – 12:30 ● Room: Forum B
This workshop presents 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 monitoring (e.g., monitoring volcanoes, nuclear plants, bio-chemical incidents, or contagious disease outbreaks), and systems that, by their very nature, are subject to frequent adversarial action such as security/anti-theft systems, intrusion detection systems, anti-jamming systems, and defense systems. A common thread across the above systems is the need for high resilience in the face of a broad array of threats, human or environmental. 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. Challenges such as heterogeneity, scale, and fast evolving dynamics are of great interest. Topic of interest include, but are not limited to, attainment of resilient performance-assurances in the face of threats, adaptation to meet goals despite perturbations and model uncertainties, accurate learning in adversarial conditions, adversarial machine learning, formal verification of machine learning, optimization under uncertainty, and resilient cyber-physical-human information fusion of contaminated inputs.
Technical Program Chairs:
Brian Jalaian (US Army Research Laboratory)
Tarek Abdelzaher (University of Illinois at Urbana Champaign, USA)
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8:00 – 8:20
Welcome from the Program Chairs
8:20 – 9:20
Keynote Talk
9:20 – 10:00
Session 1: Learning and Human-Machine Teaming in Adversarial Contexts
The Challenge of Collaborative IoT-Based Inferencing in Adversarial Settings
Archan Misra, Dulanga Weerakoon and Kasthuri Jayarajah (Singapore Management University, Singapore)
Work-in-progress for Theory and Applications of Interdependence in Adversarial and Uncertain Contexts for Human-machine Teams
William Lawless (Paine College, USA)
10:00 – 10:30
Coffee Break
10:30 – 11:50
Session 2: Security, Robustness, and Load Management
Security for Resilient IoBT Systems: Emerging Research Directions
Ioannis Agadakos (Stevens Institute of Technology, USA); Gabriela F. Ciocarlie and Bogdan Copos (SRI International, USA); Jemin George (Army Research Laboratory, USA); Nandi Leslie (US Army Research Laboratory, USA); James Michaelis (US Army Research Laboratory (ARL), USA)
A Multi-Sampling Convolutional Neural Network-Based RF Fingerprinting Approach for Low-Power Devices
Yu Jiabao, Hu Aiqun, Guyue Li and Linning Peng (Southeast University, P.R. China)
Towards Robust Access for Internet of Things in Uncertain/Adverse Communication Environment
Vladimir Marbukh (National Institute of Standards and Technology, USA);
Distributed Computing at the Tactical Edge
Venkateswara Dasari (US Army Research Laboratory, USA); Billy Geerhart iii (Army Research Laboratory, USA); David Alexander (US Army Research Lab, USA); Dale Shires (US Army Research Laboratory, USA)
11:50 – 12:30
Featured Presentation
Civil-Military Collaboration in Smart Environments under Adversarial Conditions
Konrad Wrona (NATO Communications and Information Agency, The Netherlands); Manas Pradhan (Fraunhofer FKIE, Germany); Mauro Tortonesi (University of Ferrara, Italy); Niranjan Suri (US Army Research Laboratory (ARL) & Florida Institute for Human & Machine Cognition (IHMC), USA)
12:30 Adjourn
