Lanier Watkins, Shreya Aggarwal, Omotola Akeredolu, William H. Robinson and Aviel Rubin

Medical Body Area Networks (MBAN) are created when Wireless Sensor Nodes are either embedded into the patient’s body or strapped onto it. MBANs are used to monitor the health of patients in real-time in their homes. Many cyber protection mechanisms exist for the infrastructure that interfaces with MBANs; however, not many effective cyber security mechanisms exist for MBANs. We introduce a low-overhead security mechanism for MBANs based on having nodes infer anomalous power dissipation in their neighbors to detect compromised nodes. Nodes will infer anomalous power dissipation in their neighbors by detecting a change in their packet send rate. After two consecutive violations, the node will “Tattle” on its neighbor to the gateway, which will alert the Telemedicine administrator and notify all other nodes to ignore the compromised node.

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ADROIT: Detecting Spatio-Temporal Correlated Attack-Stages in IoT Networks

Dinil Mon Divakaran (Trustwave, Singapore); Rhishi Pratap Singh, Kushan Sudheera Kalupahana Liyanage, Mohan Gurusamy (National University of Singapore, Singapore); Vinay Sachidananda (Trustwave, Singapore)

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Privacy preserving learning in IoT systems

Farinaz Koushanfar (Professor and Henry Booker Faculty Scholar, Co-Founder and Co-Director, Center for Machine-Integrated Computing and Security, Jacobs School of Engineering, University of California, San Diego)

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Sharing Economy in Future Electricity Markets: Security and Privacy...

Mehdi Montakhabi, Shenja Van Der Graaf (IMEC-SMIT & Vrije Universiteit, Belgium); Akash Madhusudan (COSIC & KU Leuven, Belgium); Aysajan Abidin (KU Leuven, Belgium); Mustafa A. Mustafa (The University of Manchester, UK)

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