F
Fei Chen
Researcher at Shenzhen University
Publications - 58
Citations - 1464
Fei Chen is an academic researcher from Shenzhen University. The author has contributed to research in topics: Cloud computing & Cloud storage. The author has an hindex of 17, co-authored 54 publications receiving 1026 citations. Previous affiliations of Fei Chen include Nanjing University of Posts and Telecommunications & The Chinese University of Hong Kong.
Papers
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A survey on application of machine learning for Internet of Things
TL;DR: A comprehensive survey highlighting the recent progresses in machine learning techniques for IoT and the relevant techniques, including traffic profiling, IoT device identification, security, edge computing infrastructure, network management and typical IoT applications are provided.
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A Review of Compressive Sensing in Information Security Field
TL;DR: This paper reviews CS in information security field from two aspects: theoretical security and application security, and indicates some other possible application research topics in future.
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Embedding cryptographic features in compressive sensing
TL;DR: Wang et al. as discussed by the authors proposed some possible encryption models for CS and demonstrated that random permutation is an acceptable permutation with overwhelming probability, which can effectively relax the Restricted Isometry Constant for parallel compressive sensing.
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Secure Cloud Storage Meets with Secure Network Coding
TL;DR: The proposed protocol is the first publicly verifiable secure cloud storage protocol in the standard model, while the previous work is either not public verifiable, or security argument is only argued heuristically in the random oracle model.
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Privacy-preserving and verifiable protocols for scientific computation outsourcing to the cloud
Fei Chen,Tao Xiang,Yuanyuan Yang +2 more
TL;DR: This paper proposes new protocols for secure linear equation solving and linear programming outsourcing that achieve significant performance gains and introduces a method to reduce the key size by using a pseudorandom number generator.