Zhihui Lu

TL;DR: This paper re-define the SE schemes in a practical scenario of securely outsourcing the electrocardiogram (ECG) data in the untrusted BSN environment and gives the SE design based on this classification use case to protect the ECG data against illegal classification at the attacker sides which protects the patients’ data privacy.

TL;DR: In the environment of Hadoop 2 with Ceph as the storage system, the experiments verify IoTDeM can effectively predict the total execution time of MapReduce applications, with the average relative error of less than 10%.

TL;DR: This paper proposes a smart-toy-edge-computing-oriented data exchange prototype using Hyperledger Fabric v1.0 to solve the issue of automatically maintaining a tamper-resistant, reliable and distributed ledger by writing smart contract in the environment where the participants are distrustful of each other.

TL;DR: This paper collates research works across a number of topics in AON, from historical developments to the recent research proposal, and introduces new definitions and category methods to provide useful reference and perspectives for the state of AON research and development.

TL;DR: This work focuses on modeling the privacy content of multiple sources through mapping them as resources of types of Data, Information and Knowledge in the well-known DIKW architecture, and proposes protection solutions according to explicit and implicit divisions for privacy target concerning typed data.