Kai Zhang

TL;DR: An energy theft detection scheme with energy privacy preservation in the smart grid using combined convolutional neural networks (CNNs) to detect abnormal behavior of the metering data from a long-period pattern observation and employing Paillier algorithm to protect the energy privacy.

TL;DR: It is shown that the proposed construction satisfies formal security requirements for PKEET under the decisional bilinear Diffie–Hellman (DBDH) assumption in the standard model, and improves computational costs for encryption, decryption, and test algorithms, by about 60%, 77%, and 66%, respectively, compared to a PkeET instantiation obtained by the prior generic framework.

TL;DR: A forward secure public key searchable encryption scheme, in which a cloud server cannot learn any information about a newly added encrypted data file containing the keyword that previously queried, is proposed.

TL;DR: This article proposes a new highly-scalable searchable encryption scheme for encrypted cloud storage that achieves sub-linear Boolean keyword searching, and moreover allows the data owner to authorize which clients could search or access the documents in the cloud.