The Research Team Led by Prof. Qin Jing from the School of Mathematics Published Their Research AchievementEnabling Identity-Based Integrity Auditing and Data Sharing With Sensitive Information Hiding for Secure Cloud Storageon IEEE Transactions on Information Forensics and Security (TIFS for short). Prof. Qin Jing is the corresponding author and Shen Wenting, a doctoral student in 2017, is the first author. TIFS is an important international journal in the field of information security and is recommended by China Computer Federation (CCF) as the class-A journal. In 2019, its impact factor was 6.211 and the number of published papers reached 242.
This achievement, published online by the journal in August 2018, has been at the top of the list of hot papers ever since. It has been downloaded 12154 times until now. This achievement was rated by the IEEE Signal Processing Society (SPS) as one of the 25 most downloaded articles of IEEE Transactions on Signal Processing on IEEE Xplore in 2018, and the paper was cited highly by ESI. Due to the quality and the popularity of this achievement, IEEE SPS invited the research team led by Prof. Qin Jing to make a global online seminar regarding this achievement.
Recently, the seminar was successively held on an online platform. Firstly, the host Michelle Demydenko introduced authors of the achievement and thanked and welcomed the participants. Then, Prof. Jiankun Hu from The University of New South Wales introduced the background of this achievement and research status of this field and pointed out the problem of sensitive information leakage in integrity auditing of shared cloud-storage data. At last, Shen Wenting introduced the problems solved by this achievement, solutions, security analysis and experimental evaluation in detail.
This achievement focuses on the leakage of sensitive information in shared files and proposed an effective solution through introducing purifiers to purify data block containing sensitive information and to convert authenticators effectively. This method not only enables the integrity auditing of cloud storage data, but also supports data sharing under the condition that sensitive information is protected, which arouses wide attention and praise from researchers for its novelty and originality. This achievement has effectively solved the problem of leakage of sensitive information of patients (name and ID card number, etc.) and hospitals (hospital name, etc.) in electronic medical records stored on cloud servers for researchers to use, which effectively protects the privacy of patients and hospitals and also ensures the integrity of electronic medical records stored on cloud servers. Solving practical problems in the real world is also one of the important reasons why this achievement is popular.
Paper link: https://ieeexplore.ieee.org/abstract/document/8395433
Author: Shen Wenting