TY - JOUR
T1 - Transitioning from testbeds to ships
T2 - an experience study in deploying the TIPPERS Internet of Things platform to the US Navy
AU - Archer, Dave
AU - August, Michael A.
AU - Bouloukakis, Georgios
AU - Davison, Christopher
AU - Diallo, Mamadou H.
AU - Ghosh, Dhrubajyoti
AU - Graves, Christopher T.
AU - Hay, Michael
AU - He, Xi
AU - Laud, Peeter
AU - Lu, Steve
AU - Machanavajjhala, Ashwin
AU - Mehrotra, Sharad
AU - Miklau, Gerome
AU - Pankova, Alisa
AU - Sharma, Shantanu
AU - Venkatasubramanian, Nalini
AU - Wang, Guoxi
AU - Yus, Roberto
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2022/7
Y1 - 2022/7
N2 - This paper describes the collaborative effort between privacy and security researchers at nine different institutions along with researchers at the Naval Information Warfare Center to deploy, test, and demonstrate privacy-preserving technologies in creating sensor-based awareness using the Internet of Things (IoT) aboard naval vessels in the context of the 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 in 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.
AB - This paper describes the collaborative effort between privacy and security researchers at nine different institutions along with researchers at the Naval Information Warfare Center to deploy, test, and demonstrate privacy-preserving technologies in creating sensor-based awareness using the Internet of Things (IoT) aboard naval vessels in the context of the 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 in 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.
KW - Internet of Things
KW - US Navy
KW - data management
KW - deployment
KW - differential privacy
KW - middleware
KW - practical experiences
KW - privacy
KW - secure computing
UR - http://www.scopus.com/inward/record.url?scp=85091376024&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091376024&partnerID=8YFLogxK
U2 - 10.1177/1548512920956383
DO - 10.1177/1548512920956383
M3 - Article
AN - SCOPUS:85091376024
SN - 1548-5129
VL - 19
SP - 501
EP - 517
JO - Journal of Defense Modeling and Simulation
JF - Journal of Defense Modeling and Simulation
IS - 3
ER -