Kewei Sha

 

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Dr. Kewei Sha is an Associate Director of Cyber Security Institute and Assistant Professor of Computer Science at University of Houston-Clear Lake. Dr. Sha's research interests include Internet of Things, Cyber-Physical Systems, Edge Computing, Security and Privacy, and Big Data Analytics..


Recent Submissions

  • Adaptive Privacy-Preserving Authentication in Vehicular Networks 

    Kewei, Sha (Journal of Computer Science and Technology, 2008)
    Vehicular networks have attracted extensive attention in recent years for their promises in improving safety and enabling other value-added services. Most previous work focuses on designing the media access and physical ...

  • Consistency-Driven Data Quality Management in Wireless Sensor Networks 

    Kewei, Sha (Journal of Parallel and Distributed Computing, 2008)
    With more and more real deployments of wireless sensor network applications, we envision that their success is nonetheless determined by whether the sensor networks can provide a high-quality stream of data over a long ...

  • RD4: Role -Differentiated Cooperative Deceptive Data Detection and Filtering in VANETs 

    Kewei, Sha (IEEE Transactions on Vehicular Technology, 2010)
    The data quality of collected sensing data, which determines the practical value of sensing systems, has been studied in several previous efforts; however, we argue that vehicular ad hoc networks (VANETs), which are a ...

  • Slight Homomorphic Signature for Access Controlling in Cloud Computing 

    Kewei, Sha (Wireless Personal Communications (WIRE), 2013)
    With the popularity of cloud computing, how to securely authenticate a user while not releasing a user's sensitive information becomes a challenge. In this paper, we introduce a slight homomorphic signature, which is ...

  • Data Quality Challenges in Cyber-Physical Systems 

    Kewei, Sha (ACM Journal on Data and Information Quality, 2015)
    Recent emerging technologies, which integrate sensing, computation, communication, and control, have changed the way we observe and control the physical world. Cyber-physical systems (CPSs) [Rajkumar et all. 2010] are ...

  • A Secure Framework to Read Isolated Smart Grid Devices 

    Kewei, Sha (2016)
    With increasing deployment of smart grid systems, a large quantity of energy usage and grid status data have been collected by smart grid devices like smart meters. To secure these critical and sensitive data, it is crucial ...

  • Security in Internet of Things: Opportunities and Challenges 

    Kewei, Sha (Proceeding of the International Conference on Identification, Information & Knowledge in the Internet of Things, 2016)
    Internet of Things (IoT) have become the most pervasive and largest computing platform nowadays. Security plays a more and more important role because of the nature of IoT systems that deal with people's daily life. IoT ...

  • EdgeSec: Design of an Edge Layer Security Service to Enhance Internet of Things Security 

    Kewei, Sha (IEEE International Conference on Fog and Edge Computing, 2017)
    With the widespread availability of connected smart devices, Internet of Things (IoT) is becoming the world's largest computing platform. These large-scale, heterogeneous, and resource-constrained devices bring many ...

  • Energy Efficient Algorithms to Construct the Information Potential Field in WSNs 

    Kewei, Sha (IEEE Sensors Journal, 2017)
    The information gradient-based routing and navigation protocols have been proved to be effective when collecting data from the wireless sensor networks because the data collector can achieve the global objective through ...

  • Cluster-based Quality-Aware Adaptive Data Compression for Streaming Data 

    Kewei, Sha (ACM Journal of Data and Information Quality, 2017)
    Wireless sensor networks (WSNs) are widely applied in data collection applications. Energy efficiency is one of the most important design goals of WSNs. In this article, we examine the tradeoffs between the energy ...