Invited talk in NDBC 2018
I was invited to give a talk in NDBC 2018 entitled “Ensuring Privacy and Integrity against Untrusted Cloud for Internet of Things Applications”.
I was invited to give a talk in NDBC 2018 entitled “Ensuring Privacy and Integrity against Untrusted Cloud for Internet of Things Applications”.
Our paper “PrivKV: Key-Value Data Collection with Local Differential Privacy” has been accepted by IEEE Symposium on Security and Privacy (S&P) 2019.
I have been awarded an RGC/GRF grant with title “Integrity Assurance for Vehicular Telematics Data” for HK$ 693,000 (2019-2021).
A research paper titled “Authenticating Aggregate Queries over Set-Valued Data with Confidentiality” has been published in IEEE Transactions on Knowledge and Data Engineering (TKDE), Apr 2018.
I am serving as the track co-chair of IEEE BigData Congress 2018. For more information about this, please check the official website: http://conferences.computer.org/bigdatacongress/2018/
Our paper “When Query Authentication Meets Fine-Grained Access Control: A Zero-Knowledge Approach” has been accepted as a full paper by ACM SIGMOD 2018. Our paper “Authenticating Aggregate Queries over Set-Valued Data with Confidentiality” has been accepted by IEEE Transactions on Knowledge and Data Engineering.
Currently I have several openings for PhD students in the field of Data Management or Information Security. The detailed requirements are as follows: Bachelor or Master degree in Computer Science, Software Engineering or Information Engineering in well-known universities. Preferences are given to applicants with some research experience. Good programming skills in at least one mainstream…
Dr. Hu has recently been awarded a US patent entitled “Privacy-Preserving Large-Scale Location Monitoring”. The patent number is 9,756,461.
Our paper titled “Geo-Social Group Queries with Minimum Acquaintance Constraints” has been accepted for publication in the VLDB journal.