Visible to the public Cloud-Assisted IoT Systems Privacy--2019Q4Conflict Detection Enabled

Submitted by FengjunLi on Tue, 01/14/2020 - 2:00pm

PI(s), Co-PI(s), Researchers: Fengjun Li, Bo Luo

HARD PROBLEM(S) ADDRESSED

The goal of this project is to develop principles and methods to model privacy needs, threats, and protection mechanisms in cloud-assisted IoT systems. The work aims to address the hard problems of resilient architectures, security metrics as well as scalability and composability.

PUBLIC ACCOMPLISHMENT HIGHLIGHTS

  • We developed a secure cryptographic infrastructure, consisting of virtual cryptographic devices and a device management tool, to improve the cryptography facilities of in-cloud systems. This novel solution for secure access and use of cryptographic keys in cloud systems was published in the 2019 IEEE Global Communications Conference (GLOBECOM).
  • We reviewed the trust model and privacy problems in the identity management and authentication mechanism in the cloud systems. The defense strategies of trust-enhancements in certificate services are leveraged to derive trust-enhancing solutions for cloud-based single-sign on services. The results have been published in 2019 IEEE Conference on Dependable and Secure Computing (DSC).

PUBLICATIONS

  • Xuhua Bao, Xiaokun Zhang, Jingqiang Lin, Dawei Chu, Qiongxiao Wang and Fengjun Li, "Towards the Trust-Enhancements of Single Sign-On Services," in IEEE Conference on Dependable and Secure Computing (DSC), Hangzhou, China, Nov. 18-20, 2019.
  • Dawei Chu, Kaijie Zhu, Quanwei Cai, Jingqiang Lin, Fengjun Li, Le Guan and Lingchen Zhang, "Secure Cryptography Infrastructures in the Cloud," in IEEE Global Communications Conference (GLOBECOM), Waikoloa, Hi, USA, Dec. 9-13, 2019.

COMMUNITY ENGAGEMENTS

  • Fengjun Li gave an invited talk on "Cloud-Assisted Secure Computing for IoT Applications" at University of South Florida, October 23, 2019.
  • Fengjun Li presented "Ticket Transparency: Accountable Single Sign-On with Privacy-Preserving Public Logs" in SecureComm, Orlando, October 24, 2019.
  • Fengjun Li served the panelist role in the panel on "Unique Privacy and Security Challenges in IoT Devices" in SecureComm, Orlando, October 24, 2019.
  • Fengjun Li helped to organize the 2019 Central Area Networking and Security Workshop in Iowa State University and served the Travel Award Chair role, October 26, 2019.
  • Fengjun Li presented "A Reliable and Accountable Privacy-Preserving Federated Learning Framework using the Blockchain" in ACM CCS, London, UK, Nov. 12, 2019.

EDUCATIONAL ADVANCES

N/A

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