151 citations · 719 across the 91 of their papers we have counts for
64 papers · 1 filter
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…
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…
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…
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…
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…
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…
Verification Code Recognition Based on Active and Deep Learning
Dongliang Xu, Bailing Wang, XiaoJiang Du +4
A verification code is an automated test method used to distinguish between humans and computers. Humans can easily identify verification codes, whereas machines cannot. With the d…
Real Time Lateral Movement Detection based on Evidence Reasoning Network for Edge Computing Environment
Zhihong Tian, Wei Shi, Yuhang Wang +5
Edge computing is providing higher class intelligent service and computing capabilities at the edge of the network. The aim is to ease the backhaul impacts and offer an improved us…
Achieving Trust-Based and Privacy-Preserving Customer Selection in Ubiquitous Computing
Chuan Zhang, Liehuang Zhu, Chang Xu +4
The recent proliferation of smart devices has given rise to ubiquitous computing, an emerging computing paradigm which allows anytime & anywhere computing possible. In such a ubiqu…
Adversarial Samples on Android Malware Detection Systems for IoT Systems
Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang +2
Many IoT(Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware…
Blockchain based Privacy-Preserving Software Updates with Proof-of-Delivery for Internet of Things
Yanqi Zhao, Yiming Liu, Yong Yu +1
A large number of IoT devices are connected via the Internet. However, most of these IoT devices are generally not perfect-by-design even have security weaknesses or vulnerabilitie…
Authentication Scheme Based on Hashchain for Space-Air-Ground Integrated Network
Caidan Zhao, Mingxian Shi, MinMin Huang +1
With the development of artificial intelligence and self-driving, vehicular ad-hoc network (VANET) has become an irreplaceable part of the Intelligent Transportation Systems (ITSs)…
A Novel Secure Authentication Scheme for Heterogeneous Internet of Thing
Jingwei Liu, Ailian Ren, Lihuan Zhang +3
Today, Internet of Things (IoT) technology is being increasingly popular which is applied in a wide range of industry sectors such as healthcare, transportation and some critical i…
A Light-Weight Authentication Scheme for Air Force Internet of Things
Xi Hang Cao, Xiaojiang Du, E. Paul Ratazzi
Internet of Things (IoT) is ubiquitous because of its broad applications and the advance in communication technologies. The capabilities of IoT also enable its important role in ho…
Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach
Zhitao Guan, Zefang Lv, Xiaojiang Du +2
The emergence and rapid development of the Internet of Medical Things (IoMT), an application of the Internet of Things into the medical and healthcare systems, have brought many ch…
Code-less Patching for Heap Vulnerabilities Using Targeted Calling Context Encoding
Qiang Zeng, Golam Kayas, Emil Mohammed +3
Exploitation of heap vulnerabilities has been on the rise, leading to many devastating attacks. Conventional heap patch generation is a lengthy procedure, requiring intensive manua…
When Homomorphic Cryptosystem Meets Differential Privacy: Training Machine Learning Classifier with Privacy Protection
Xiangyun Tang, Liehuang Zhu, Meng Shen +1
Machine learning (ML) classifiers are invaluable building blocks that have been used in many fields. High quality training dataset collected from multiple data providers is essenti…
Mutual Heterogeneous Signcryption Schemes for 5G Network Slicings
Jingwei Liu, Lihuan Zhang, Rong Sun +2
With the emerging of mobile communication technologies, we are entering the fifth generation mobile communication system (5G) era. Various application scenarios will arise in the 5…
MDBV: Monitoring Data Batch Verification for Survivability of Internet of Vehicles
Jingwei Liu, Qingqing Li, Huijuan Cao +3
Along with the development of vehicular sensors and wireless communication technology, Internet of Vehicles (IoV) is emerging that can improve traffic efficiency and provide a comf…
VDAS: Verifiable Data Aggregation Scheme for Internet of Things
Jingwei Liu, Jinping Han, Longfei Wu +2
Along with the miniaturization of various types of sensors, a mass of intelligent terminals are gaining stronger sensing capability, which raises a deeper perception and better pro…