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Proceedings Paper

On the recognition of compromise in sensing systems: rewired acoustic arrays and distorted route estimation and classification
Author(s): David J. Thornley; Thyagaraju Damarla; Mani B. Srivastava; Dinkar Mylaraswami
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Paper Abstract

A group of acoustic arrays that provide direction of approach estimates also support classification of vehicles using the beams formed during that estimation. Successful simultaneous tracking and classification has demonstrated the value of such a sensing resource as a UGS installation. We now consider potential attacks on the integrity of such an installation, describing the effect of compromised acoustic arrays in the data analysis and tracking and classification results. We indicate how these can be automatically recognized, and note that calibration methods intended for deployment time can be used for recovery during operation, which opens the door to methods for recovery from the compromise without re-configuring the equipment, using abductive reasoning to discover the necessary re-processing structure. By rotating an acoustic array, the tracking stability and implied path of a tracked entity can be distorted while leaving the data and analysis from individual arrays self-consistent. Less structured modifications, such as unstructured re-ordering of microphone connections, impact the basic data analysis. We examine the effect of these classes of attack on the integrity of a set of unattended acoustic arrays, and consider the steps necessary for detection, diagnosis, and recovering an effective sensing system. Understaning these steps plays an important part in reasoning in support of balance of investment, planning, operation and post-hoc analysis.

Paper Details

Date Published: 24 September 2009
PDF: 12 pages
Proc. SPIE 7480, Unmanned/Unattended Sensors and Sensor Networks VI, 74800W (24 September 2009); doi: 10.1117/12.834960
Show Author Affiliations
David J. Thornley, Imperial College London (United Kingdom)
Thyagaraju Damarla, Army Research Lab. (United States)
Mani B. Srivastava, Univ. of California, Los Angeles (United States)
Dinkar Mylaraswami, Honeywell (United States)

Published in SPIE Proceedings Vol. 7480:
Unmanned/Unattended Sensors and Sensor Networks VI
Edward M. Carapezza, Editor(s)

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