Transitioning from Testbeds to Ships: An Experience Study in Deploying the TIPPERS IoT Platform to the US Navy

Abstract

This paper describes the collaborative effort between privacy and security researchers at nine different institutions along with researchers at the Naval Information Warfare Center (NIWC) to deploy, test, and demonstrate privacy-preserving technologies in creating sensor-based awareness using Internet of Things (IoT) aboard naval vessels in the context of US Navy’s Trident Warrior 2019 exercise. Funded by DARPA through the Brandeis program, the team built an integrated IoT data management middleware, entitled TIPPERS, that supports privacy by design and integrates a variety of Privacy Enhancing Technologies (PETs) including differential privacy, computation on encrypted data, and fine-grained policies. We describe the architecture of TIPPERS and its use on creating a smart ship that offers IoT-enabled services such as occupancy analysis, fall detection, detection of unauthorized access to spaces, and other situational awareness scenarios. We describe the privacy implications of creating IoT spaces that collect data that might include individuals data (e.g., location) and analyze the tradeoff between privacy and utility of the supported PETs in this context.

Publication
Journal of Defense Modeling and Simulation – JDMS (minor revision)