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10th IEEE International Conference on Cyber Security and Cloud Computing and 9th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Li, Zhixue Zhang, Shiwen Xiong, Naixue Liang, Wei Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China

ISBN: (纸本)9798350312461

In recent years, as a novel perceptual paradigm, Mobile Crowd Sensing (MCS) has gradually become one of the most popular research contents. It utilizes mobile devices carried by users to collect various sensing data about social events and phenomena. To improve the credibility of the data, it is critical to recruit mobile users, but it leads to the privacy leakage of mobile users. Therefore, how to achieve efficient task allocation while protecting user data privacy is a challenging problem in MCS. In this paper, we propose an efficient and secure task allocation scheme (ESTA). In ESTA, the service provider enables to forecast the spatial distribution of sensing users and select high quality sensing data according to their trust levels without invading user privacy. By utilizing the advantage of federated learning (FL) that does not centrally collect the user data to prevent privacy leakage. Finally, we show the security properties of ESTA and demonstrate its efficiency in terms of task finished ratio and task allocation ratio. © 2023 IEEE.

关键词： Data privacy

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DTSAC: Smart Contract-based Access Control with Delegation and Trust Management 29

DTSAC: Smart Contract-based Access Control with Delegation a...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Liao, Junguo Wu, Qiong School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9798350330717

With the proliferation of the Internet of Things (IoT), access control has become particularly important in protecting data security. However, traditional access control models have limited capabilities in addressing challenges such as single points of failure, coarse-grained access control, and insufficient security in distributed environments. To tackle these challenges, we propose DTSAC, a smart contract-based access control with distributed delegation and dynamic trust management. This model utilizes blockchain for the decentralized delegation of capabilities and distributes delegation relationships across multiple delegation trees to enable fast revocation of capabilities. In addition, we design a dynamic trust assessment mechanism between the delegator and the delegatee to more comprehensively evaluate the credibility of the subject. Finally, a functional prototype of the DTSAC is successfully deployed on the public Sepolia Ethereum testnet. The experimental evaluation is conducted to verify the feasibility and effectiveness of the proposed model. © 2023 IEEE.

关键词： access control blockchain delegation trust management

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A Terminal Device Authentication Scheme Based on Blockchain technology in WBAN 10

A Terminal Device Authentication Scheme Based on Blockchain ...

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10th IEEE International Conference on Cyber Security and Cloud Computing and 9th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Wang, Ying Cheng, Lei Xu, Jianbo Zhang, Shaobo Hunan University of Science and Technology School of Computer science and Engineering Xiangtan China

ISBN: (纸本)9798350312461

The wireless body area network (WBAN) plays a vital role in the application of smart health care. However, due to the openness of wireless networks, the potential threats posed by attackers increase concerns about the security and privacy of patient data. In this paper, we combine blockchain technology with WBAN and propose a lightweight terminal device authentication scheme based on blockchain technology suitable for WBAN. This scheme uses physiological information combined with a limited number of hash operations and XOR operations to share session keys during authentication, ensure confidentiality, achieve cross-domain authentication, and improve authentication efficiency. Finally, the safety analysis shows that the scheme achieves a better safety. © 2023 IEEE.

关键词： Authentication

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A Composite Transformer-Based Multi-Stage Defect Detection Architecture for Sewer Pipes

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computers, Materials & Continua 2024年第1期78卷 435-451页

作者： Zifeng Yu Xianfeng Li Lianpeng Sun Jinjun Zhu Jianxin Lin School of Computer Science and Engineering Macao University of Science and TechnologyMacao999078China School of Environmental Science and Engineering Sun Yat-sen UniversityGuangzhou510275China Guangdong AIKE Environmental Science and Technology Co. Ltd.Zhongshan528400China

Urban sewer pipes are a vital infrastructure in modern cities,and their defects must be detected in time to prevent potential *** recent years,to relieve the manual efforts by human experts,models based on deep learning have been introduced to automatically identify potential ***,these models are insufficient in terms of dataset complexity,model versatility and *** work addresses these issues with amulti-stage defect detection architecture using a composite backbone Swin *** based on this architecture is trained using a more comprehensive dataset containingmore classes of *** ablation studies on the modules of combined backbone Swin Transformer,multi-stage detector,test-time data augmentation and model fusion,it is revealed that they all contribute to the improvement of detection accuracy from different *** model incorporating all these modules achieves the mean Average Precision(mAP)of 78.6% at an Intersection over Union(IoU)threshold of *** represents an improvement of 14.1% over the ResNet50 Faster Region-based Convolutional Neural Network(R-CNN)model and a 6.7% improvement over You Only Look Once version 6(YOLOv6)-large,the highest in the YOLO *** addition,for other defect detection models for sewer pipes,although direct comparison with themis infeasible due to the unavailability of their private datasets,our results are obtained from a more comprehensive dataset and have superior generalization capabilities.

关键词： Sewer pipe defect detection deep learning model optimization composite transformer

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Anomaly Detection Based on Deep Learning: Insights and Opportunities 10

Anomaly Detection Based on Deep Learning: Insights and Oppor...

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10th IEEE International Conference on Cyber Security and Cloud Computing and 9th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Zhang, Huan Xie, Rui Li, Kuanching Huang, Weihong Yang, Chaoyi Liu, Jingnian Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China

ISBN: (纸本)9798350312461

With the advent of the 5G/6G and Big Data, the network has become indispensable in people's lives, and Cyber security has turned a relevant topic that people pay attention to. For Cyber security, anomaly detection, a.k.a. outlier detection or novelty detection, is one of the key points widely used in financial fraud detection, medical diagnosis, network security, and other aspects. As a hot topic, deep learning-based anomaly detection has been studied by more and more researchers. For such an objective, this article aims to classify anomaly detection based on deep learning, pointing out the problem and the principle, advantages, disadvantages, and application scenarios of each method, and describe possible future opportunities to address challenges. © 2023 IEEE.

关键词： Anomaly detection

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OSSIoT: An ontology-based Operational Security model for Social Internet of Things using Machine Learning Techniques

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2024年第10期51卷 1440-1453页

作者： Kumar, K.S. Santhosh Hanumanthappa, J. Prakash, S.P. Shiva Krinkin, Kirill Department of Studies in Computer Science University of Mysore Karnataka Mysuru India Department of Information Science and Engineering JSS Science and Technology University Karnataka Mysuru India School of Computer Science and Engineering Constructor University Bremen Germany

The Social Internet of Things (SIoT) is an innovative fusion of IoT and smart devices that enable them to establish dynamic relationships. Securing sensitive data in a smart environment requires a model to determine the relationships between devices through object profiling and ontological models. To address this need, we have proposed an ontology-based operational security model for the SIoT. In our approach, the interpolation method is used to establish relationships, while fiduciary relationships are employed to detect threats. Furthermore, the encryption of heterogeneous device data, coupled with the implementation of an operation-based intrusion detection system, proves highly effective in identifying potential *** relationships are identified as intruders and validated using machine learning techniques. Encrypting heterogeneous device data, along with an operation-based intrusion detection system, efficiently identifies threats in the ever-evolving dynamic nature of the SIoT environment. the encryption of heterogeneous device data, coupled with an operation-based intrusion detection system, effectively identifies threats. Invalid relationships are promptly identified as attackers and machine learning techniques are used to validate relationships encryption and machine learning stand as indispensable tools in the endeavor to secure sensitive information within the realm of the SIoT. The suggested model outperformed the results of the current model, as evidenced by its average accuracy of 85.67%, precision of 90.37%, recall of 92.06%, and F1-score of 91.03% when compared to the existing model. © (2024), (International Association of Engineers). All rights reserved.

关键词： Network intrusion

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Multi-Task Visual Semantic Embedding Network for Image-Text Retrieval

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Journal of computer science & technology 2024年第4期39卷 811-826页

作者： Xue-Yang Qin Li-Shuang Li Jing-Yao Tang Fei Hao Mei-Ling Ge Guang-Yao Pang School of Computer Science and Technology Dalian University of TechnologyDalian 116024China School of Computer Science Shaanxi Normal UniversityXi’an 710119China School of Computer Engineering Weifang UniversityWeifang 261061China Guangxi Colleges and Universities Key Laboratory of Intelligent Industry Software Wuzhou UniversityWuzhou 543002 China

Image-text retrieval aims to capture the semantic correspondence between images and texts,which serves as a foundation and crucial component in multi-modal recommendations,search systems,and online *** mainstream methods primarily focus on modeling the association of image-text pairs while neglecting the advantageous impact of multi-task learning on image-text *** this end,a multi-task visual semantic embedding network(MVSEN)is proposed for image-text ***,we design two auxiliary tasks,including text-text matching and multi-label classification,for semantic constraints to improve the generalization and robustness of visual semantic embedding from a training ***,we present an intra-and inter-modality interaction scheme to learn discriminative visual and textual feature representations by facilitating information flow within and between ***,we utilize multi-layer graph convolutional networks in a cascading manner to infer the correlation of image-text *** results show that MVSEN outperforms state-of-the-art methods on two publicly available datasets,Flickr30K and MSCOCO,with rSum improvements of 8.2%and 3.0%,respectively.

关键词： image-text retrieval cross-modal retrieval multi-task learning graph convolutional network

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Routing Protocol Based on Mission-Oriented Opportunistic Networks 22nd

Routing Protocol Based on Mission-Oriented Opportunistic Net...

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22nd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2022

作者： Cui, Yahui Zhou, Xinlian Liang, Wei Li, Kuan-Ching School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9783031226762

Mission-oriented opportunistic networks are a new form of network. Its application background is to complete specific tasks. Its prominent feature is Mission-oriented mobility. This paper, based on the goal-driven mobility model of human nodes in the established Mission-oriented opportunistic networks, proposes a routing protocol based on multi-dimensional trust evaluation parameters (MTEPRP). Firstly, contact intimacy, delivery credibility and location intimacy are selected by the routing protocol as the direct-trusting multi-dimensional trust evaluation parameters to calculate the direct trust value of the nodes, and the weight coefficient of the direct trust value is adjusted by grey relational analysis algorithm. Then, contact intimacy and delivery credibility are selected to calculate the recommended-trusting multi-dimensional trust evaluation parameters, which uses the collaborative computing technology and joint multi-nodes to calculate the recommendation trust values. Finally, the total trust values of nodes are calculated by fusing direct trust values and recommendation trust values. This paper transforms a routing problem for dynamic moving and unstructured space is transformed into a routing problem for static and structured multi-dimensional trust evaluation parameter space by adopting the data forwarding strategy of comparing multi-dimensional trust evaluation parameters. Experimental results show that compared with Epidemic and Prophet routing protocol, the MTEPRP proposed in this paper has better performance in network transmission success rate, data transmission delay and routing overhead. © 2023, Springer Nature Switzerland AG.

关键词： Routing protocols

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Bearing-only Formation Maneuvering for UAV Swarm over Directed Interaction Topologies

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-12页

作者： Lin, Qiong Miao, Zhiqiang Chen, Yanjie Wang, Xiangke He, Wei Wang, Yaonan College of Electrical and Information Engineering Hunan University Changsha China School of Mechanical Engineering and Automation Fuzhou University China College of Intelligence Science and Technology National University of Defense Technology Changsha China School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China

This research paper addresses the formation control problem in a swarm of quadrotor unmanned aerial vehicles (UAVs) over directed interaction topologies, with the primary objective of achieving persistent motion based on bearing measurements. A novel bearing-only formation controller is proposed, eliminating the need for relative position or linear velocity measurements between quadrotors. Specifically, a distributed hierarchical formation control scheme is adopted for the quadrotors. This scheme consists of an outer-loop translation controller designed for target formations using only bearing vector measurements, as well as an inner-loop attitude controller for precise attitude adjustments. To overcome the absence of bearing rate measurement in the translational controller, a filter is introduced to estimate it, effectively compensating for the lack of linear velocity measurement. Additionally, a differentiator is employed to estimate the high-order control input of the translational dynamics, enabling convenient derivation of the desired angular velocity and its derivatives required for the torque controller. The stability analysis of the underactuated systems of multi-UAVs under directed graphs is conducted using Lyapunov stability theory. Simulation results demonstrate the convergence properties of the proposed protocols, while real-world tasks validate its practicality. IEEE

关键词： Controllers

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ISAC-Fi: Enabling Full-Fledged Monostatic Sensing over Wi-Fi Communication

IEEE Journal of Selected Areas in Sensors

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IEEE Journal of Selected Areas in Sensors 2024年 1卷 139-153页

作者： Chen, Zhe Hu, Chao Zheng, Tianyue Cao, Hangcheng Yang, Yanbing Chu, Yen Jiang, Hongbo Luo, Jun Fudan University Institute of Space Internet School of Computer Science Shanghai200437 China Sichuan University College of Computer Science Chengdu610017 China Nanyang Technological University School of Computer Science and Engineering Singapore639798 Singapore Hunan University College of Computer Science and Electronics Engineering Changsha410012 China University of Electronic Science and Technology of China Chengdu610054 China

Although Wi-Fi communications have been exploited for sensing purpose for over a decade, the bistatic or multistatic nature of Wi-Fi still poses multiple challenges, hampering real-life deployment of integrated sensing and communication (ISAC) within the Wi-Fi framework. In this article, we aim to redesign Wi-Fi so that monostatic sensing (mimicking radar) can be achieved over the multistatic communication infrastructure. Specifically, we propose, design, and implement ISAC-Fi as an ISAC-ready Wi-Fi prototype. We first present a novel self-interference cancellation scheme, in order to extract reflected (radio frequency) signals for sensing purpose in the face of transmissions. We then subtly revise the existing Wi-Fi framework so as to seamlessly operate monostatic sensing under the Wi-Fi communication standard. Finally, we offer two ISAC-Fi designs: 1) a Universal Software Radio Peripheral (USRP)-based design emulates a totally redesigned ISAC-Fi device and 2) another plug-and-play design allows for backward compatibility by attaching an extra module to an arbitrary Wi-Fi device. We perform extensive experiments to validate the efficacy of ISAC-Fi and also to demonstrate its superiority over existing Wi-Fi sensing proposals. © 2024 IEEE.

关键词： Wi-Fi

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