In this poster, we expose some of our recent results on authenatication of the Internet of things.
Our results include new machine learning approaches for authenaticating IoT devices based on their environment,
as well as novel ideas to distinguish malicious attacks from normal environmental changes. The poster also
presents some of our related works on IoT jamming and stochastic moving target defense in IoT-like environments.
Our extensive outreach activities within the scope of the GCTC challenge are also presented.
Wide-area management of terrestrial scale infrastructures often involves human operators, who are sandwiched between physical-world systems and cyber- assets. These Management Coupled Cyber-Physical Infrastructures (MCCPIs) are subject to diverse threats that can propagate across network elements. In this research effort, a layered network modeling paradigm for MCCPIs is developed, and threats to cyber, physical, and human assets are modeled at several resolutions.
The poster provides a general overview of the motivation for testbeds, and summarizes the high-level objectives of the project. Then, the poster outlines a conceptual architecture of how a layered testbed architecture could be extended to realize federated testbeds. Followed by this, the poster provides a high-level conceptual architecture of the remote access framework developed as part of the project. The poster also provides some details on the various tasks performed as part of the remote access framework.
Security and privacy concerns in the increasingly interconnected world are receiving much attention from the research community, policymakers, and general public. However, much of the recent and on-going efforts concentrate on privacy in communication and social interactions. The advent of cyber-physical systems, which aim at tight integration between distributed computational intelligence, communication networks, physical world, and human actors, opens new possibilities for developing intelligent systems with new capabilities.
