Wei Jiang - Research

Research Interests

• Privacy-Preserving Data Analytics

• Secure Multiparty Computation

• Applied Cryptography

Selected On-going Projects

• 1. Privacy-Preserving Data Analytics:
     Developed secure and distributed protocols that allow multiple clients to learn data analytical models without sharing their data directly. The system prototype supports range query, k-nearest neighbor (kNN) query and kNN classification.

  2. Building an Outsourced and Completely Private Social Network:
     Proposed and developed a distributed system architecture that enables users to social net- working without sharing their data with the service providers. The architecture also allows service providers to perform privacy-preserving friend and product recommendations without directly accessing user data.

  3. Privacy-Preserving Information Retrieval:
     Lucene-P2 framework was built to allow a user to issue encrypted keywords based queries to a server who returns the top-k most relevant documents. In addition, the user does not learn other irrelevant information from the server.

  4. Efficient Secure Comparison against the Malicious Majority:
     Developed a compiler that can transform the existing semi-honest secure comparison protocols into the ones secure under the malicious majority setting. The resulting protocol is more efficient than the current state of the art MP-SPDZ based solutions.

  5. Oblivious Data Management to Prevent Insider Threat and Ransomware:
     Proposed a distributed data management architecture that prevents an attacker from access- ing and hijacking sensitive data even when a certain number of servers have been compromised. Under this architecture, oblivious firewall management protocols were developed to illustrate its feasibility and practicality.

Research Grants

1. PI, "Oblivious Data Management against Insider Threat and Ransomware", Cisco, 1/2/2022 - 12/31/2022, $50,000.

2. Co-PI, "RENEWAL: FUTURES: Federal and University Training Union for Research and Education on Security", National Science Foundation (NSF), 08/01/2020 - 07/31/2025, $3,635,642. (Shared credit: $727,128)

3. Co-PI, "Inspire Next Generation of Cyber Stars", NSA, 04/15/2018 - 04/14/2019, $100,000. (Shared credit: $40,000)

4. Co-PI, "Promoting Cybersecurity and Inspiring Next Generation Cyber Warriors", NSA, 04/12/2017 - 04/11/2018, $100,000. (Shared credit: $40,000)

5. Lead PI, "Building a Privacy-Preserving Social Networking Platform from a Technological and Sociological Perspective", NSF, 09/1/2016-08/31/2019, $667,218. (Shared credit: $206,228)

6. Co-PI, "Security Camp for K-12 Teachers", NSA, 05/1/2016-04/30/2017, $100,000. (Shared credit: $40,000)

7. PI, "I-Corps: An Outsourced and Completely Private Social Network", NSF, 01/11/2015 - 07/10/2015, $50,000

8. Co-PI, "Research and Training Experience for Undergraduates in the area of Secure Cloud Computing", NSF, 01/01/2015 - 12/31/2017, $360,000. (Shared credit: $72,000)

9. Co-PI, "Missouri Advanced Security Training, Education and Research", NSF, 08/15/2014 - 07/31/2019, $3,319,494. (Shared credit: $331,949)

10. PI, "Friend and Product Recommendations in Outsourced Privacy-Preserving Online Social Network", Google, May 2014 - April 2015, $34,230

11. PI, "A Secure and Content-based Framework to Identify and Share Needed Information", ONR, January 2011 - December 2013, $286,570

12. PI, "Anonymizing Textual Data and its Impact on Utility", NSF, September 2010 - August 2015, $2,480,300. (Shared credit: $356,964)

13. Co-PI, "Common Correctness for Protecting Confidentiality Critical Infrastructure Systems", NSA, September 28, 2012 - September 27, 2013, $41,788. (Shared credit: $4,178)

14. Co-PI, "Earthquake Information System Based on Sensors in Mobile Phones'', UMRB, August 2009 - July 2010, $38,000. (Shared credit: $16,340)

15. PI, "Semantic Preserving Text Sanitization", UMRB, July 2009 - June 2010, $28,000