H
Honglong Chen
Researcher at China University of Petroleum
Publications - 88
Citations - 1520
Honglong Chen is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 19, co-authored 64 publications receiving 1076 citations. Previous affiliations of Honglong Chen include Hong Kong Polytechnic University.
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Privacy-Preserving Crowd-Sourced Statistical Data Publishing with An Untrusted Server
TL;DR: It is proved that DADP can provide real-time crowd-sourced statistical data publishing with strong privacy protection under an untrusted server and a distributed budget allocation mechanism and an agent-based dynamic grouping mechanism to realize global $w-event $\epsilon$ε-differential privacy in a distributed way.
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On protecting end-to-end location privacy against local eavesdropper in Wireless Sensor Networks
Honglong Chen,Wei Lou +1 more
TL;DR: This work addresses the importance of location privacy of both the source and sink and proposes four schemes called forward random walk (FRW), bidirectional tree (BT), dynamic Bidirectional Tree (DBT) and zigzag bidirectionals tree (ZBT) respectively to deliver messages from source to sink, which can protect the end-to-end location privacy against local eavesdropper.
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Achieving location error tolerant barrier coverage for wireless sensor networks
TL;DR: This paper analyzes the effects of location errors for barrier coverage and proposes a fault-tolerant weighted barrier graph to model the barrier coverage formation problem and proves that the minimum number of mobile sensor nodes needed to achieve barrier coverage with a guarantee is the length of the shortest path on the graph.
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Narrowband Internet of Things Systems With Opportunistic D2D Communication
TL;DR: Simulation results demonstrate that the proposed maxEDR and minEED algorithms improves the system performance compared with other state-of-the-art algorithms.
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Securing DV-Hop localization against wormhole attacks in wireless sensor networks
TL;DR: This paper proposes a label-based DV-Hop secure localization scheme to defend against the wormhole attack, and theoretically proves the correctness of the proposed scheme.