Visible to the public Biblio

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Guo, Hao, Li, Wanxin, Nejad, Mark, Shen, Chien-Chung.  2019.  Access Control for Electronic Health Records with Hybrid Blockchain-Edge Architecture. 2019 IEEE International Conference on Blockchain (Blockchain). :44–51.
The global Electronic Health Record (EHR) market is growing dramatically and expected to reach \$39.7 billions by 2022. To safe-guard security and privacy of EHR, access control is an essential mechanism for managing EHR data. This paper proposes a hybrid architecture to facilitate access control of EHR data by using both blockchain and edge node. Within the architecture, a blockchain-based controller manages identity and access control policies and serves as a tamper-proof log of access events. In addition, off-chain edge nodes store the EHR data and apply policies specified in Abbreviated Language For Authorization (ALFA) to enforce attribute-based access control on EHR data in collaboration with the blockchain-based access control logs. We evaluate the proposed hybrid architecture by utilizing Hyperledger Composer Fabric blockchain to measure the performance of executing smart contracts and ACL policies in terms of transaction processing time and response time against unauthorized data retrieval.
Zhan, Xiong, Guo, Hao, He, Xiaoyun, Liu, Zhoubin, Chen, Hongsong.  2019.  Authentication Algorithm and Techniques Under Edge Computing in Smart Grids. 2019 IEEE International Conference on Energy Internet (ICEI). :191–195.
Two-factor authentication has been widely used due to the vulnerabilities associated with the traditional password-based authentication. One-Time Password (OTP) plays an important role in authentication protocol. However, a variety of security problems have been challenging the security of OTP, and improvements are introduced to solve it. This paper reviews several schemes to implement and modify the OTP, a comparison among the popular OTP algorithms is presented. A smart grid architecture with edge computing is shown. The authentication techniques in the smart grid are analyzed.