JongHyup Lee

Group Connectivity Model for Industrial Wireless Sensor Networks

It is a recent trend to consider wireless sensor networks in harsh industrial environments. With actual deployment of wireless sensor networks, it would be desirable to make a concrete deployment plan regarding connectivities and to place sensors by grouping them according to the planned deployment points, even more in case of targeting multiple objects to be sensed and monitored in harsh environments. The connectedness of groups as well as individual sensors is important specifically for real-time data acquisitions and even more if there are no external communication links among these groups. In this paper, we focus on the connectivity of sensor groups, rather than the individual sensors only, and propose a novel group connectivity model so as to analyze group connectivity and to make a concrete deployment plan of sensor groups with regard to the internal distribution of sensors and group positions. We believe that the proposed model should be useful in planning the deployment of wireless sensor networks in harsh industrial environments where running wires is less practical and also prohibitively expensive.

Location-based pairwise key predistribution for wireless sensor networks

A practical pairwise key distribution scheme is necessary for wireless sensor networks since sensor nodes are susceptible to physical capture and constrained in their resources. In this paper, we investigate a simple and practical scheme that achieves higher connectivities and perfect resilience with less resources, even in case of deployment errors.

On the Privacy-Preserving HCI Issues

Actual interactions between human users and computers occur at the user interface, which includes both hardware and software. When users attempt to input sensitive information to computers, a kind of shoulder surfing that might use direct observation techniques, such as looking over someones shoulder, to get the information could be a great concern at the user interface. In this paper, we observe privacy-related issues at the user interface and then present an abstract model for privacy-preserving human-computer interactions. In such an abstract model, we also present two prototype methods which could work with traditional input devices.

A lightweight detection mechanism of control flow modification for IoT devices

Constrained IoT devices cannot achieve full coverage of software attestation even though the integrity of software is critical. The limited modification attacks on control flow of software aim at the shadow area uncovered in software attestation processes. In this paper, we propose a light-weight protection system that detects modification by injecting markers to program code.