Test Whats new message.
Scheduled Maintenance on Monday 1/13/2025
Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.
Showing 1-25 of 33 results
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
HTM-CDFK: An Online Industrial Control Anomaly Detection Algorithm based on Hierarchical Time Memory
Jingwen Liu;Yuanyuan Zhang;Zilin Wang;Yi Ren;Liangyin Chen;Yanru Chen
IEEE Transactions on Dependable and Secure Computing
Year: 2025 | Early Access Article |
With the rapid advancement of industrial structures, many factories are deploying anomaly detection systems. However, most existing anomaly detection algorithms are unsuitable for high-noise industrial control system (ICS) environments and constantly changing sensor patterns, resulting in low detection accuracy. To address these challenges, we propose a hierarchical temporal memory-based online an...Show More
Enhancing Physical Layer Authentication in Mobile WiFi Environments Using Sliding Window and Deep Learning
Yuanyuan Zhang;Yuchen Huang;Haoyu He;Yanru Guo;Liangyin Chen;Yanru Chen
The convenience of wireless communication has led to its widespread adoption across various application scenarios. However, existing Physical Layer Authentication (PLA) schemes still have limitations in terms of adaptability. This paper introduces a novel method based on key-less channel-based authentication framework designed to enhance PLA performance under different mobility patterns. Our metho...Show More
TSM-KFE: A Two-stage-shared Federated Learning Model Based on Key Feature Extraction
Yuanyuan Zhang;Jingwen Liu;Hanyang Zhang;Jingpeng Li;Liangyin Chen;Yanru Chen
2024 IEEE International Conference on Smart Internet of Things (SmartIoT)
Year: 2024 | Conference Paper |
To address the issue of data heterogeneity and data privacy in blockchain and federated learning-based data-sharing models, this paper proposes a Two-stage-shared Federated Learning Model based on Key Feature Extraction (TSM-KFE). Specifically, in the TSM-KFE data-sharing model, data providers use Variational Autoencoders (VAE) to extract key features from their local data and share these key feat...Show More
Aggregation Method for Electric Vehicles with Multi-Source Information Fusion Including Social Attributes
2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)
Year: 2024 | Conference Paper |
As the concept of sustainable development becomes increasingly prevalent, the number of new energy vehicles is also on the rise. New energy vehicles, as flexible and controllable resources on the distribution network side, are a double-edged sword for the safe and stable operation of the distribution network. On the one hand, the large-scale and unorganized charging of new energy vehicles poses a ...Show More
TXL-Fuzz: A Long Attention Mechanism-Based Fuzz Testing Model for Industrial IoT Protocols
Liangyin Chen;Yihan Wang;Xuanyi Xiang;Dian Jin;Yi Ren;Yunhai Zhang;Zhiwen Pan;Yanru Chen
In recent years, industrial control systems (ICSs) security incidents have revealed vulnerabilities in the system hardware, user programs, and communication protocols. The various components of the ICS are connected by the Industrial Internet of Things (IIoT) protocol. Nevertheless, malicious attackers can exploit vulnerabilities in IIoT protocol to manipulate the ICS, potentially causing damage t...Show More
Cross-Layer AKA Protocol for Industrial Control Based on Channel State Information
Industrial control technology faces serious communication security threats. Authenticated key agreement(AKA) protocols are essential to secure communication between industrial control nodes, but they must be efficient and robust due to resource constraints. Existing AKA protocols based on encryption algorithms have limitations such as vulnerability to clone attacks. Also, there is a lack of protoc...Show More
Situation Awareness Method for Electric Vehicles Charging Pile Clusters Based on Edge Computing
2024 36th Chinese Control and Decision Conference (CCDC)
Year: 2024 | Conference Paper |
In response to challenges characterized by strong randomness, wide spatial distribution, and high power demand within short time frames by a large volume of Electric Vehicles (EVs), a situation awareness method for electric vehicle charging pile clusters is proposed based on edge computing. In this method, some factors such as EVs charging, EVs flow speed in road network are comprehensively consid...Show More
Physical Layer Authentication for Industrial Control Based on Convolutional Denoising Autoencoder
Yanru Chen;Haoyu He;Shengjie Liu;Yuanyuan Zhang;Yang Li;Bin Xing;Bing Guo;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (2)
Industrial control systems rely on wireless devices and sensors, necessitating critical security. Physical layer authentication (PLA) is a promising mechanism for device authentication, utilizing its unique spatiotemporal characteristics and channel state randomness, which offers unforgeability and high informatics security with low computational overhead and efficiency in resource-constrained sce...Show More
Joint Scheduling and Offloading Schemes for Multiple Interdependent Computation Tasks in Mobile Edge Computing
Min Guo;Xin Hu;Yanru Chen;Yanbing Yang;Lei Zhang;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (2)
Mobile edge computing (MEC) can sufficiently meet the computing demands of complex application consists of multiple interdependent tasks which can be represented by a directed acyclic graph (DAG). For tasks in a DAG, different scheduling orders and offloading decisions will generate different completion time, which further affects the Quality of Experiences (QoEs). So it is important to study the ...Show More
Online Parallel Attack Detection Method for Industrial Control Based on Multi-Bandpass Filter
Yanru Chen;Shijia Liu;Zilin Wang;Dizhi Wu;Yang Li;Bin Xing;Bing Guo;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (1)
Unlike conventional IT systems, industrial control systems (ICSs) requires tailored attack detection methods due to its unique communication protocols. Existing attack detection methods lack the ability to consider both detection accuracy and time performance, particularly for highly stealthy fake data injection attacks (FDIAs). To address these challenges, this work proposes an online parallel at...Show More
Malicious file detection method based on deep neural network and gray-scale graph feature fusion
Rui Wang;Haiwei Li;Jiaxuan Zhao;Zheng Xue;Lijuan Zhang;Yanru Chen;Yan Hao
2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
Year: 2023 | Conference Paper |
The widespread spread and continuous evolution of malicious files pose a serious threat to the security of computer systems. Therefore, developing efficient and accurate malicious file detection methods has important research value. This paper presents a malicious file detection method based on gray graph features and deep neural network (DNN). First, the file is transformed into an image represen...Show More
Malicious file detection method based on deep neural network and gray-scale graph feature fusion
Rui Wang;Haiwei Li;Jiaxuan Zhao;Zheng Xue;Lijuan Zhang;Yanru Chen;Yan Hao
2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
Year: 2023 | Conference Paper |
Physical Layer Key Generation Scheme for MIMO System Based on Feature Fusion Autoencoder
Yanru Chen;Zhengyu Chen;Yuanyuan Zhang;Zhiyuan Luo;Yang Li;Bin Xing;Bing Guo;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (10)
Recently, the use of wireless channel state information (CSI) to generate encryption keys in the physical layer has gained significant attention from researchers. Unlike classical cryptography, this approach relies on the variability of the wireless channel, channel reciprocity, and spatial decorrelation to ensure security, making it more lightweight and providing strong randomness. This article p...Show More
DC-ST: A Short-term traffic flow prediction Approach based on Distance Correlation and Spatial-Temporal Dependence
Chang Liu;LuoJie Lin;YuanYuan Zhang;YanRu Chen;Hao Wang;LiangYin Chen
2023 IEEE Applied Sensing Conference (APSCON)
Year: 2023 | Conference Paper |
Accurate traffic flow prediction are very important for route planning, traffic control and intelligent driving. The uncertainty and complexity of traffic flow states makes it a challenging problem. In this work, we proposed a distance correlation based spatial-temporal prediction model. The double filtering criterion is developed to ensure the spatial-temporal validity and reduces the redundancy....Show More
Physical-Layer Secret Key Generation Based on Bidirectional Convergence Feature Learning Convolutional Network
Yanru Chen;Zhiyuan Luo;Zhiyuan Wang;Limin Sun;Yang Li;Bin Xing;Liangyin Chen;Bing Guo
IEEE Internet of Things Journal
Cited by: Papers (4)
Physical-layer secret key generation (PLKG) is a new research area that has emerged in recent years. It is aimed at scenarios where legitimate IoT devices communicate directly, interacting with confidential information for lower overhead and higher security by using wireless channel. When applying it to wireless feature extraction, noise removal is not taken into account in current deep learning n...Show More
Capability and Blockchain-Based Fine-Grained and Flexible Access Control Model
Yanru Chen;Li Tao;Bing Liang;Limin Sun;Yang Li;Bin Xing;Liangyin Chen
Currently, the integration of blockchain into access control systems has become a new research trend. However, existing access control systems still have problems such as easy confusion of capability authorisation subjects, inflexible capability granting and revocation, insufficient granularity of capability, insecure capability transfer and lack of capability verification. To solve these problems...Show More
ECC-Based Authenticated Key Agreement Protocol for Industrial Control System
Yanru Chen;Fengming Yin;Shunfang Hu;Limin Sun;Yang Li;Bin Xing;Liangyin Chen;Bing Guo
IEEE Internet of Things Journal
Cited by: Papers (15)
Nowadays, Industrial Internet of Things (IIoT) technology has made a great progress and the industrial control systems (ICSs) have been used extensively, which has brought more and more serious information security threats to the ICS at the same time. The authenticated key agreement (AKA) protocol is a common method to ensure the communication security. This work proposes a lightweight AKA protoco...Show More
Provably Secure ECC-Based Authentication and Key Agreement Scheme for Advanced Metering Infrastructure in the Smart Grid
Shunfang Hu;Yanru Chen;Yilong Zheng;Bin Xing;Yang Li;Le Zhang;Liangyin Chen
Advanced metering infrastructure (AMI) is a vital component of the smart grid (SG) for real-time data access and bidirectional communication. An authentication and key agreement (AKA) protocol is needed for AMI systems to ensure the confidentiality and integrity of communication data. Since the devices are connected to the open network and generally deployed outdoors with limited computation, comm...Show More
DS2PM: A Data-Sharing Privacy Protection Model Based on Blockchain and Federated Learning
Yanru Chen;Jingpeng Li;Fan Wang;Kaifeng Yue;Yang Li;Bin Xing;Lei Zhang;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (21)
With the development of big data and blockchain, an increasing number of scholars have begun to study blockchain for data sharing. By studying data sharing models that are based on blockchain, we find that almost all of them have the following problems: 1) it is difficult to protect the privacy and integrity of users’ data, along with users’ data ownership; 2) the storage burden of blockchain is h...Show More
Cost-effective Elderly Fall Detection with Symmetry Transformer Networks
Bing Li;Wei Cui;Yanru Chen;Joey Tianyi Zhou;Zhenghua Chen;Yuli Li;Wu Min
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Elderly fall detection aims at automatically detecting fall actions, a major public health problem for the elderly. Existing fall detection methods are cost-ineffective - a satisfactory performance is commonly traded by high costs in device access/deployment and positive record acquirement. In this paper, we set out to devise a WiFi-based elderly fall detection approach in a cost-effective manner ...Show More
A Low-Calculation Contactless Continuous Authentication Based on Postural Transition
Currently, available contactless continuous authentication (CA) techniques depend on physiological biometrics to identify individuals at long intervals through complex feature extraction, resulting in poor accuracy, high computation costs, and security vacuums during lengthy intervals. To address these issues, we propose WiPT, a WiFi-based contactless CA system that utilizes contextual features an...Show More
DIM-DS: Dynamic Incentive Model for Data Sharing in Federated Learning Based on Smart Contracts and Evolutionary Game Theory
Yanru Chen;Yuanyuan Zhang;Shengwei Wang;Fan Wang;Yang Li;Yuming Jiang;Liangyin Chen;Bing Guo
IEEE Internet of Things Journal
Cited by: Papers (21)
With the development of big data, data sharing has become a hot topic. According to the previous research on data sharing, there is a problem with regard to how to design an effective incentive mechanism to make users willing to share data. First, we integrate the incentives based on reputation and payment and introduce “credibility coins” as a cryptocurrency for data-sharing transactions, to enco...Show More
Anonymous Authentication and Application Stealth Scheme for Mobile Network Based on SPA
2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)
Year: 2022 | Conference Paper |
According to the idea of zero trust, this paper proposed an anonymous identity authentication scheme based on hash functions and pseudo-random number generators, which effectively increased the anonymity and confidentiality when users use the mobile networks, and ensure the security of the server. This scheme first used single-packet authentication technology to realize the application stealth. Se...Show More
Lyapunov-Based Partial Computation Offloading for Multiple Mobile Devices Enabled by Harvested Energy in MEC
Min Guo;Wei Wang;Xing Huang;Yanru Chen;Lei Zhang;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (48)
Mobile-edge computing (MEC) has been garnering considerable level of interests by processing computation tasks nearby mobile devices (MDs). With limited computation and communication resources and strict task deadline, balancing the energy consumption and time delay of computational tasks will be highly focused. MDs deployed energy harvesting (EH) modules can always provide service to continuous t...Show More
A Survey of Decentralizing Applications via Blockchain: The 5G and Beyond Perspective
Kaifeng Yue;Yuanyuan Zhang;Yanru Chen;Yang Li;Lian Zhao;Chunming Rong;Liangyin Chen
Trusted third parties (TTPs) are frequently used for serving as an authority to issue and verify transactions in applications. Although the TTP-based paradigm provides customers with convenience, it causes a whole set of inevitable problems such as security threats, privacy vulnerabilities, and censorship. The TTP-based paradigm is not suitable for all modern networks, e.g., 5G and beyond networks...Show More
Increasing the Data Rate for Reflected Optical Camera Communication Using Uniform LED Light
Zequn Chen;Runji Lin;Haihan Duan;Yanru Chen;Yanbing Yang;Rengmao Wu;Liangyin Chen
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Optical Camera Communication (OCC) systems relying on commercial-off-the-shelf (COTS) devices have attracted substantial attention recently, thanks to the pervasive deployment of indoor LED lighting infrastructure and the popularity of smartphones. However, the achievable throughput by such practical systems is still very low due to its availability for only low order modulation schemes and transm...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.