38 citations · 58 across the 8 of their papers we have counts for
8 papers
Accelerating Secure and Verifiable Data Deletion in Cloud Storage via SGX and Blockchain
Xiangman Li, Jianbing Ni
Secure data deletion enables data owners to fully control the erasure of their data stored on local or cloud data centers and is essential for preventing data leakage, especially f…
Unveiling Security, Privacy, and Ethical Concerns of ChatGPT
Xiaodong Wu, Ran Duan, Jianbing Ni
This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic modeling and reinforcement learning to generate natural responses. Although ChatGPT holds imm…
Secure and Privacy-preserving Network Slicing in 3GPP 5G System Architecture
Xiangman Li, Miao He, Jianbing Ni
Network slicing in 3GPP 5G system architecture has introduced significant improvements in the flexibility and efficiency of mobile communication. However, this new functionality po…
Privacy-Preserving Model Aggregation for Asynchronous Federated Learning
Jianxiang Zhao, Xiangman Li, Jianbing Ni
We present a novel privacy-preserving model aggregation for asynchronous federated learning, named PPA-AFL that removes the restriction of synchronous aggregation of local model up…
Security and Privacy for Mobile Edge Caching: Challenges and Solutions
Jianbing Ni, Kuan Zhang, Athanasios V. Vasilakos
Mobile edge caching is a promising technology for the next-generation mobile networks to effectively offer service environment and cloud-storage capabilities at the edge of network…
Private, Fair, and Verifiable Aggregate Statistics for Mobile Crowdsensing in Blockchain Era
Miao He, Jianbing Ni, Dongxiao Liu +3
In this paper, we propose FairCrowd, a private, fair, and verifiable framework for aggregate statistics in mobile crowdsensing based on the public blockchain. In specific, mobile u…
Towards Edge-assisted Internet of Things: From Security and Efficiency Perspectives
Jianbing Ni, Xiaodong Lin, Xuemin +1
As we are moving towards the Internet of Things (IoT) era, the number of connected physical devices is increasing at a rapid pace. Mobile edge computing is emerging to handle the s…
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing
Jianbing Ni, Kuan Zhang, Qi Xia +2
Mobile crowdsensing engages a crowd of individuals to use their mobile devices to cooperatively collect data about social events and phenomena for special interest customers. It ca…