151 citations · 719 across the 91 of their papers we have counts for
92 papers
Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach
Xiao Tang, Sicong Liu, Xiaojiang Du +1
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of th…
Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
Jialiang Dong, Zhitao Guan, Longfei Wu +2
The wide use of black-box models in natural language processing brings great challenges to the understanding of the decision basis, the trustworthiness of the prediction results, a…
Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks
Zhipeng Cheng, Minghui Liwang, Xiaoyu Xia +3
Federated learning (FL) represents a promising distributed machine learning paradigm that allows smart devices to collaboratively train a shared model via providing local data sets…
A Practical Cross-Device Federated Learning Framework over 5G Networks
Wenti Yang, Naiyu Wang, Zhitao Guan +3
The concept of federated learning (FL) was first proposed by Google in 2016. Thereafter, FL has been widely studied for the feasibility of application in various fields due to its…
Effective Anomaly Detection in Smart Home by Integrating Event Time Intervals
Chenxu Jiang, Chenglong Fu, Zhenyu Zhao +2
Smart home IoT systems and devices are susceptible to attacks and malfunctions. As a result, users' concerns about their security and safety issues arise along with the prevalence…
PFirewall: Semantics-Aware Customizable Data Flow Control for Smart Home Privacy Protection
Haotian Chi, Qiang Zeng, Xiaojiang Du +1
Internet of Things (IoT) platforms enable users to deploy home automation applications. Meanwhile, privacy issues arise as large amounts of sensitive device data flow out to IoT pl…
Robust Attacks on Deep Learning Face Recognition in the Physical World
Meng Shen, Hao Yu, Liehuang Zhu +3
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples, which can…
Performance Analysis and Optimization for the MAC Protocol in UAV-based IoT Network
Bin Li, Xianzhen Guo, Ruonan Zhang +2
Unmanned aerial vehicles (UAVs) have played an important role in air-ground integration network. Especially in Internet of Things (IoT) services, UAV equipped with communication eq…
Privacy-Preserving Machine Learning Training in Aggregation Scenarios
Liehuang Zhu, Xiangyun Tang, Meng Shen +2
To develop Smart City, the growing popularity of Machine Learning (ML) that appreciates high-quality training datasets generated from diverse IoT devices raises natural questions a…
SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space
Ao Liu, Yunpeng Wang, Tao Li
In the encrypted network traffic intrusion detection, deep learning based schemes have attracted lots of attention. However, in real-world scenarios, data is often insufficient (fe…
Towards Efficient Integration of Blockchain for IoT Security: The Case Study of IoT Remote Access
Chenglong Fu, Qiang Zeng, Xiaojiang Du
The booming Internet of Things (IoT) market has drawn tremendous interest from cyber attackers. The centralized cloud-based IoT service architecture has serious limitations in term…
PFirewall: Semantics-Aware Customizable Data Flow Control for Home Automation Systems
Haotian Chi, Qiang Zeng, Xiaojiang Du +1
Emerging Internet of Thing (IoT) platforms provide a convenient solution for integrating heterogeneous IoT devices and deploying home automation applications. However, serious priv…
Self-Selective Correlation Ship Tracking Method for Smart Ocean System
Xu Kang, Bin Song, Jie Guo +2
In recent years, with the development of the marine industry, navigation environment becomes more complicated. Some artificial intelligence technologies, such as computer vision, c…
Market-Based Model in CR-WSN: A Q-Probabilistic Multi-agent Learning Approach
Dan Wang, Wei Zhang, Bin Song +2
The ever-increasingly urban populations and their material demands have brought unprecedented burdens to cities. Smart cities leverage emerging technologies like the Internet of Th…
When Energy Trading meets Blockchain in Electrical Power System: The State of the Art
Naiyu Wang, Xiao Zhou, Xin Lu +4
With the rapid growth of renewable energy resources, the energy trading began to shift from centralized to distributed manner. Blockchain, as a distributed public ledger technology…
Heterogeneous Coexistence of Cognitive Radio Networks in TV White Space
Kaigui Bian, Lin Chen, Yuanxing Zhang +3
Wireless standards (e.g., IEEE 802.11af and 802.22) have been developed for enabling opportunistic access in TV white space (TVWS) using cognitive radio (CR) technology. When heter…
Privacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study
Rixin Xu, Qiang Zeng, Liehuang Zhu +2
The combination of smart home platforms and automation apps introduces much convenience to smart home users. However, this also brings the potential for privacy leakage. If a smart…
Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation
Junmei Lv, Bin Song, Jie Guo +2
Nowadays, the recommendation systems are applied in the fields of e-commerce, video websites, social networking sites, etc., which bring great convenience to people's daily lives.…
Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare
Sijia Chen, Bin Song, Xiaojiang Du +1
Deep Models, typically Deep neural networks, have millions of parameters, analyze medical data accurately, yet in a time-consuming method. However, energy cost effectiveness and co…
A Low-overhead Kernel Object Monitoring Approach for Virtual Machine Introspection
Dongyang Zhan, Huhua Li, Lin Ye +3
Monitoring kernel object modification of virtual machine is widely used by virtual-machine-introspection-based security monitors to protect virtual machines in cloud computing, suc…
Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity
Yinghua Li, Bin Song, Jie Guo +2
Recently, the Magnetic Resonance Imaging (MRI) images have limited and unsatisfactory resolutions due to various constraints such as physical, technological and economic considerat…
Vulnerability Prediction Based on Weighted Software Network for Secure Software Building
Shengjun Wei, Hao Zhong, Chun Shan +3
To build a secure communications software, Vulnerability Prediction Models (VPMs) are used to predict vulnerable software modules in the software system before software security te…
Evaluating Reputation Management Schemes of Internet of Vehicles based on Evolutionary Game Theory
Zhihong Tian, Xiangsong Gao, Shen Su +3
Conducting reputation management is very important for Internet of vehicles. However, most of the existing researches evaluate the effectiveness of their schemes with settled attac…
A Privacy-Preserving Traffic Monitoring Scheme via Vehicular Crowdsourcing
Chuan Zhang, Liehuang Zhu, Chang Xu +2
The explosive growth of vehicle amount has given rise to a series of traffic problems, such as traffic congestion, road safety, and fuel waste. Collecting vehicles' speed informati…