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 language such as Java, Python and C++.
- Good reading/writing skills in English. Preferences are given to applicants who score 80+ in TOEFL (iBT) or 6.5+ in IELTS.
Remuneration is highly competitive. If you are awarded Hong Kong PhD Fellowships (HKPFS), you can receive 20k HKD (equiv. to 2.5k USD) monthly and other matching benefits by the university/department.
Those interested please send your CV, publication, and/or transcripts to Dr. Haibo Hu at email@example.com
1. Dr. Haibo Hu’s website： www.haibohu.org
2. Applied Security, Trust and Privacy Lab: http://www.astaple.com/
3. Information about HKPFS application with Hong Kong Polytechnic University: http://www.polyu.edu.hk/ro/hkphd-fellowship/en/
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.
A research paper titled “Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowdsourcing” has been accepted for publication in IEEE Transactions on Knowledge and Data Engineering (TKDE).
I was invited by Research Grant Council to give a public lecture on cyber security in Hong Kong Science Museum on May 7th, 2017. The title is “Beware of Your Location Privacy and Integrity in Social Networks”. More details can be found here: http://www.ugc.edu.hk/eng/rgc/lectures/20170507.html
A research paper titled ” Assuring Spatio-Temporal Integrity on Mobile Devices with Minimum Location Disclosure” has been accepted for publication in IEEE Transactions on Mobile Computing (TMC).
As a co-PI in project “Security and Privacy-enhancing Technologies for Cloud Storage of Big Data”, Dr. Hu and colleagues have been awarded a collaborative research fund from RGC worth of 5.98 million HKD.
As the team lead in Hong Kong Polytechnic University, Dr. Hu has joined the team of Prof. Zhou in Fudan University and jointly secured a 2.52 million RMB key project in the Joint Funds of the National Natural Science Foundation of China, with title “Privacy Preservation Techniques for Query Processing in Big Data”.