63 citations · 148 across the 18 of their papers we have counts for
9 papers · 1 filter
PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-model Transmission Systems
Xuefei Yin, Yanming Zhu, Yi Xie +1
Recent studies have demonstrated that smart grids are vulnerable to stealthy false data injection attacks (SFDIAs), as SFDIAs can bypass residual-based bad data detection mechanism…
A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications
Xuefei Yin, Song Wang, Yanming Zhu +1
Fingerprint authentication techniques have been employed in various Internet of Things (IoT) applications for access control to protect private data, but raw fingerprint template l…
Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems
Min Wang, Song Wang, Jiankun Hu
As a promising candidate to complement traditional biometric modalities, brain biometrics using electroencephalography (EEG) data has received a widespread attention in recent year…
Designing False Data Injection attacks penetrating AC-based Bad Data Detection System and FDI Dataset generation
Nam N. Tran, Hemanshu R. Pota, Quang N. Tran +2
The evolution of the traditional power system towards the modern smart grid has posed many new cybersecurity challenges to this critical infrastructure. One of the most dangerous c…
Designing constraint-based false data injection attacks against the unbalanced distribution smart grids
Nam N. Tran, Hemanshu R. Pota, Quang N. Tran +1
The advent of smart power grid which plays a vital role in the upcoming smart city era is accompanied with the implementation of a monitoring tool, called state estimation. For the…
IriTrack: Liveness Detection Using Irises Tracking for Preventing Face Spoofing Attacks
Meng Shen, Zelin Liao, Liehuang Zhu +3
Face liveness detection has become a widely used technique with a growing importance in various authentication scenarios to withstand spoofing attacks. Existing methods that perfor…
Content-Based Multi-Source Encrypted Image Retrieval in Clouds with Privacy Preservation
Meng Shen, Guohua Cheng, Liehuang Zhu +2
Content-based image retrieval (CBIR) is one of the fundamental image retrieval primitives. Its applications can be found in various areas, such as art collections and medical diagn…
Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection
Meng Shen, Baoli Ma, Liehuang Zhu +3
Constrained shortest distance (CSD) querying is one of the fundamental graph query primitives, which finds the shortest distance from an origin to a destination in a graph with a c…
A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module
Jinwei Xu, Jiankun Hu, Xiuping Jia
Latent fingerprint has the practical value to identify the suspects who have unintentionally left a trace of fingerprint in the crime scenes. However, designing a fully automated l…