Sandip Bapat

TL;DR: This paper studies the application of sensor networks to the intrusion detection problem and the related problems of classifying and tracking targets using a dense, distributed, wireless network of multi-modal resource-poor sensors combined into loosely coherent sensor arrays that perform in situ detection, estimation, compression, and exfiltration.

TL;DR: The key requirements of ExScal, the corresponding design of the hardware/software platform and application, and some results of the authors' experiments are overviewed.

TL;DR: The elements of Kansei testbed architecture are presented, including its hardware and software platforms as well as its hybrid simulation and sensor data generation engines.

TL;DR: Detailed data about faults, both anticipated and unanticipated, in ExScal is presented and services and tools are suggested as a further aid to future large scale network deployments.

TL;DR: A simple protocol for secret maintenance between a pair of network neighbors is presented and it is proved that Dolev-Yao adversaries cannot compromise the current secret shared by the neighbors, nor can they cause the neighbors to unduly waste resources.