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Nan Zhang
Researcher at George Washington University
Publications - 106
Citations - 4773
Nan Zhang is an academic researcher from George Washington University. The author has contributed to research in topics: Tuple & Web search query. The author has an hindex of 24, co-authored 106 publications receiving 3960 citations. Previous affiliations of Nan Zhang include Penn State College of Information Sciences and Technology & University of Texas at Arlington.
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Journal ArticleDOI
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications
TL;DR: The relationship between cyber-physical systems and IoT, both of which play important roles in realizing an intelligent cyber- physical world, are explored and existing architectures, enabling technologies, and security and privacy issues in IoT are presented to enhance the understanding of the state of the art IoT development.
Journal ArticleDOI
On False Data-Injection Attacks against Power System State Estimation: Modeling and Countermeasures
TL;DR: This work studies the problem of finding the optimal attack strategy--i.e., a data-injection attacking strategy that selects a set of meters to manipulate so as to cause the maximum damage and formalizes the problem and develops efficient algorithms to identify the optimal meter set.
Journal ArticleDOI
Privacy preservation in wireless sensor networks: A state-of-the-art survey
TL;DR: Two main categories of privacy-preserving techniques for protecting two types of private information, data-oriented and context-oriented privacy, respectively are reviewed, and a number of important open challenges for future research are discussed.
Proceedings ArticleDOI
Sparse target counting and localization in sensor networks based on compressive sensing
TL;DR: A novel greedy matching pursuit algorithm (GMP) that complements the well-known signal recovery algorithms in CS theory and proves that GMP can accurately recover a sparse signal with a high probability.
Proceedings ArticleDOI
Protection of query privacy for continuous location based services
TL;DR: A novel query-perturbation-based scheme that protects query privacy in continuous LBS even when user-identities are revealed, and unlike most exiting works, this scheme does not require the presence of a trusted third party.