Jingsheng Lei

Learn More
Smart grid, envisioned as an indispensable power infrastructure, is featured by real-time and two-way communications. How to securely retrieve and audit the communicated metering data for validation testing is, however, still challenging for smart grid. In this paper, we propose a novel privacy-preserving range query (PaRQ) scheme over encrypted metering(More)
Distributed energy resources (DERs), which are characterized by small-scale power generation technologies to provide an enhancement of the traditional power system, have been strongly encouraged to be integrated into the smart grid, and numerous trading strategies have recently been proposed to support the energy auction in the emerging smart grid(More)
For many vehicular safety applications, it is critical to timely and reliably deliver multimedia data from a traveling vehicle to a roadside access point (AP) in an error-prone vehicular ad hoc network (VANET), which is a typical uplink scenario for drive-thru Internet. To achieve this goal, we propose a cooperative retransmission scheme that exploits a(More)
To improve the real-time performance of the level set algorithm for facial contour extraction in dynamic image sequence, a new facial contour extraction method is purposed in this paper which combines the level set and GM (1,1) model. With this method, firstly, the rough facial contour of a moving body is detected while it enters into the camera scope using(More)
Time synchronization is one of the most fundamental services for wireless sensor networks. Prior studies have investigated the clock stability due to environmental dynamics. In this paper, we demonstrate by experiment that in spite of the surrounding environment, time synchronization is unavoidably impacted by in-network energy heterogeneity, which may(More)
In the big data era, duplicated copies of data may be generated by various smart devices. Although convergent encryption has been extensively adopted for secure deduplication, it is still very challenging to efficiently and reliably manage the convergent keys and support keyword search over encrypted data. This paper addresses this problem by presenting an(More)
A data stream is a continuous, huge, fast changing, rapid, infinite sequence of data elements. The nature of streaming data makes it essential to use online algorithms which require only one scan over the data for knowledge discovery. Mining frequent patterns on streaming data is a new challenging problem. Recent research mainly focuses on mining frequent(More)