Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy

被引:1
|
作者
Archer, Dave [5 ]
August, Michael A. [3 ]
Bouloukakis, Georgios [1 ]
Davison, Christopher [1 ,2 ]
Diallo, Mamadou H. [3 ]
Ghosh, Dhrubajyoti [1 ]
Graves, Christopher T. [3 ]
Hay, Michael [8 ]
He, Xi [7 ]
Laud, Peeter [6 ]
Lu, Steve [4 ]
Machanavajjhala, Ashwin [10 ]
Mehrotra, Sharad [1 ]
Miklau, Gerome [9 ]
Pankova, Alisa [6 ]
Sharma, Shantanu [1 ]
Venkatasubramanian, Nalini [1 ]
Wang, Guoxi [1 ]
Yus, Roberto [1 ]
机构
[1] Univ Calif Irvine, Irvine, CA USA
[2] Ball State Univ, Ctr Informat & Commun Sci, Muncie, IN 47306 USA
[3] Naval Informat Warfare Ctr Pacific, San Diego, CA USA
[4] Stealth Software Technol Inc, Los Angeles, CA USA
[5] Galois Inc, Portland, OR USA
[6] Cybernetica, Tallinn, Estonia
[7] Univ Waterloo, Waterloo, ON, Canada
[8] Colgate Univ, Hamilton, NY 13346 USA
[9] Univ Massachusetts, Coll Informat & Comp Sci, Amherst, MA 01003 USA
[10] Duke Univ, Dept Comp Sci, Durham, NC 27706 USA
关键词
Internet of Things; privacy; US Navy; deployment; practical experiences; secure computing; differential privacy; data management; middleware;
D O I
10.1177/1548512920956383
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 asmart shipthat 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.
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页码:501 / 517
页数:17
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