Jing Yang Koh

We develop a new location spoofing detection algorithm for geo-spatial tagging and location-based services in the Internet of Things (IoT), called enhanced Location spoofing Detection using audibility (ELSA), which can be implemented at the backend server without modifying existing legacy IoT systems. Expand

In this paper, we propose a leaky bucket rate limiting queue mechanism to set the puzzle difficulty according to a queue delay. Expand

We present a phantom-receiver-based routing scheme to enhance the anonymity of each source-destination pair (or contextual privacy) while using an adjustable amount of overhead. Expand

This paper proposes a Stackelberg framework for mobile crowd sensing applications to incentivize privacy-sensitive smartphone users to contribute sensing data so that the collected dataset has good spatial coverage. Expand

We present two novel distributed event detection algorithms based on a statistical approach that tolerate Byzantine attacks where malicious (compromised) sensors send false sensing data to gateway leading to increased false alarm rate. Expand

We use a statistical decision-making framework to optimally solve the privacy-preserving routing problem in wireless networks given some utility constraints assuming a powerful global adversary that uses the optimal maximuma-posteriori estimation strategy. Expand

We propose a maximum likelihood estimator (MLE)-based localization method for the jammer node which allows each node that detected a jammed link to probabilistically transmit a jamming report. Expand

This paper proposes a dynamic witness concept together with distributed forwarder node monitoring to validate the transmitted fusion data. Expand