检索结果-内蒙古大学图书馆

CPDZ: A Credibility-Aware and Privacy-Preserving Data Collection Scheme with Zero-Trust in Next-Generation Crowdsensing Networks

引用

IEEE Journal on Selected Areas in Communications 2025年第6期43卷 2183-2199页

作者： Tang, Jianheng Fan, Kejia Yang, Shihao Liu, Anfeng Xiong, Neal N. Song, Houbing Herbert Leung, Victor C. M. Central South University School of Computer Science and Engineering Changsha410083 China Peking University School of Computer Science Beijing100871 China Sul Ross State University Department of Computer Mathematical and Physical Sciences AlpineTX79830 United States Department of Information Systems BaltimoreMD21250 United States Shenzhen MSU-BIT University Artificial Intelligence Research Institute Shenzhen518172 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada

Next-Generation Crowdsensing Networks (NGCNs) have become increasingly critical for smart cities, where data privacy and quality are pivotal concerns. Traditional trust mechanisms in crowdsensing mainly rely on static trust models, which are insufficient for dynamic security requirements. Zero-Trust security represents a promising opportunity, yet coming with notable challenges in NGCNs, including Unknown Workers Online Recruitment (UWOR), Information Elicitation Without Verification (IEWV), Privacy Preserving Data Evaluation (PPDE), and Dynamic Trust Abrupt Shift (DTAS). To address these challenges, we propose a Credibility-aware and Privacy-preserving Data collection scheme with Zero-trust (CPDZ) for secure and quality data collection in NGCNs. First, our CPDZ scheme encompasses a quality worker recruitment strategy with combinatorial multi-armed bandit models, utilizing Thompson Sampling for the secure and efficient resolution of the UWOR. Second, an active dispatching scheme for unmanned aerial vehicles is crafted to collect data as a gold standard to assist in overcoming the IEWV challenge. Third, as for the PPDE challenge, we propose a lightweight privacy-preserving scheme for dependable truth discovery and secure trust verification. Fourth, the DTAS challenge is managed by a dual verification scheme that integrates short-term and long-term trust assessments, ensuring stability and adaptability of the zero-trust security in our CPDZ scheme. Experiments confirm the superiority of our CPDZ scheme, showing a 12.5% increase in recruitment revenue and a 57.8% reduction in relative error compared to existing approaches. © 1983-2012 IEEE.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

Conceptualizing Processes in Robotic Process Automation: A Basic Meta-Model 10

Conceptualizing Processes in Robotic Process Automation: A B...

引用

10th International Conference on Systems and Informatics, ICSAI 2024

作者： Zhang, Lingtong Yang, Jing Ouyang, Chun Yu, Yang Pan, Maolin School of Computer Science and Engineering Sun Yat-sen University GuangZhou China Queensland University of Technology Australia School of Software Engineering Sun Yat-sen University ZhuHai China

ISBN: (纸本)9798331510138

Robotic Process Automation (RPA) uses software to mimic human actions in performing repetitive, time-consuming tasks, enabling organizations to strategically reallocate their workforce towards more value-driven activities. RPA can be used to build new intelligent systems that combine business with Artificial Intelligence (AI). However, despite its widespread adoption, RPA lacks standardization and a theoretical foundation, giving rise to misconception. For example, it has caused confusion between RPA and the established field of Business Process Automation (BPA), which has prevented organizations from properly using RPA in new intelligent systems. In this paper, we address the gap by proposing a basic meta-model for conceptualizing processes in RPA. Our research involves identifying key characteristics of processes suitable for RPA, deriving fundamental concepts of processes in RPA, and articulating the interrelations between them. Built upon such a conceptual foundation, we conduct a comparative analysis between RPA and BPA, clarifying the differences between the two. We further demonstrate the practical applicability of our proposed basic meta-model by identifying an instantiation of the meta-model manifested in three mainstream RPA software products, respectively. Our research contributes to laying the conceptual foundations of RPA and facilitating its standardization. © 2024 IEEE.

关键词： Intelligent robots

来源：评论

学校读者我要写书评

暂无评论

MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers 11

MAiVAR-T: Multimodal Audio-image and Video Action Recognizer...

引用

11th European Workshop on Visual Information Processing, EUVIP 2023

作者： Shaikh, Muhammad Bilal Chai, Douglas Shamsul Islam, Syed Mohammed Akhtar, Naveed Edith Cowan University School of Engineering Australia Edith Cowan University School of Science Australia The University of Western Australia Department of Computer Science & Software Engineering Australia

ISBN: (纸本)9798350342185

In line with the human capacity to perceive the world by simultaneously processing and integrating high-dimensional inputs from multiple modalities like vision and audio, we propose a novel model, MAiVAR-T (Multimodal Audio-Image to Video Action Recognition Transformer). This model employs an intuitive approach for the combination of audio-image and video modalities, with a primary aim to escalate the effectiveness of multimodal human action recognition (MHAR). At the core of MAiVAR-T lies the significance of distilling substantial representations from the audio modality and transmuting these into the image domain. Subsequently, this audio-image depiction is fused with the video modality to formulate a unified representation. This concerted approach strives to exploit the contextual richness inherent in both audio and video modalities, thereby promoting action recognition. In contrast to existing state-of-the-art strategies that focus solely on audio or video modalities, MAiVAR-T demonstrates superior performance. Our extensive empirical evaluations conducted on a benchmark action recognition dataset corroborate the model's remarkable performance. This underscores the potential enhancements derived from integrating audio and video modalities for action recognition purposes. To ensure transparency and reproducibility of our work, the source code is made publicly available at https://***/43do8DH. © 2023 IEEE.

关键词： Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Metamorphic Relation Patterns for Metamorphic Testing, Exploration and Robustness

Metamorphic Relation Patterns for Metamorphic Testing, Explo...

引用

作者： Ying, Zhihao Towey, Dave Bellotti, Anthony Chua, Caslon Quan Zhou, Zhi School of Computer Science University of Nottingham Ningbo China Zhejiang Ningbo China Department of Computer Science and Software Engineering Swinburne University of Technology HawthornVIC Australia School of Computing and Information Technology University of Wollongong WollongongNSW Australia

Metamorphic testing (MT) is an effective software quality assurance method;it uses metamorphic relations (MRs) to examine the inputs and outputs of multiple test cases. Metamorphic exploration (ME) and metamorphic robustness testing (MRT) are advanced additions to the MT literature: ME can enable better understanding, and thus testing, of systems;MRT can test software robustness without an oracle. Metamorphic relation patterns (MRPs) are abstractions or templates for multiple concrete MRs. The performance of MT/ME/MRT relies on the quality of MRs, but the identification of MRs is often a manual task requiring some knowledge of MRPs, creative thinking and a good understanding of the system. In other words, the effective identification of MRs remains a challenge and requires further study. In this paper, we propose formal definitions to describe the relationship between multiple MRPs in order to classify them. We also identify a series of new MRPs and propose a new MT framework that can guide the identification and application of MRPs. Based on our definitions, we present the notion of MRP family trees and further propose two trees by classifying previously published MRPs and our proposed MRPs, in order to make it easier for users to find their target MRPs for reuse, reference or inference. Finally, we report on case studies using the MRPs and our framework to guide the identification of MRs for MT/ME/MRT and successfully detect multiple violations. © 2025 John Wiley & Sons Ltd.

关键词： software testing

来源：评论

学校读者我要写书评

暂无评论

Design of a Secured and Trusted E-Voting System Using Blockchain Technology

Design of a Secured and Trusted E-Voting System Using Blockc...

引用

2024 IEEE SmartBlock4Africa, SmartBlock4Africa 2024

作者： Elegba Jeremiah, O. Agbelusi, O. Olutayo Victor, A. Akintola Kolawole, G. School of Computing The Federal University of Technology Department of Software Engineering Akure Nigeria School of Computing The Federal University of Technology Department of Computer Science Akure Nigeria

ISBN: (纸本)9798350376838

The state of election in Nigeria is worrisome. Electoral malpractices have been a major challenge to the Nigerian government in recent times. Government has made frantic efforts to tackle these electoral challenges but the recent event in year 2023 presidential election is worrisome suggests that the solution is not near. Recently, the percentage of eligible voters who vote on election days is declining. Voters turnout went up from 52.3% in 1999 - the first general election since 1993 - to 69% in 2003. But, it has been on the decline nearly ever since - 57.5% in 2007, 53.7% in 2011, 43.7% in 2015 and 34.8% in 2019. In 2023, it is 28.63%. With the way things are going, if urgent action is not taken, this could signal the end of democracy in Nigeria. This research presents the design and implementation of a trusted and secured e-voting based on blockchain technology that will increase voters confidence and trust. The system utilizes *** for the frontend and Solidity on the Polygon blockchain for the backend, ensuring transparency, tamper-resistance, and heightened security. This innovative approach addresses trust and reliability concerns in traditional voting systems, offering a modernized and trustworthy electoral process. © 2024 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

QCMAM: Quantitative Clustering Method for Machine Learning integrating Attention Mechanism 9

QCMAM: Quantitative Clustering Method for Machine Learning i...

引用

9th IEEE International Conference on Computational Intelligence and Applications, ICCIA 2024

作者： Chai, YuChang Xiao, Shuai Jiang, Liming Xu, ZhiWang School of Computer Science and Technology Hainan University China Software Co. Ltd. China School of Information and Communication Engineering Hainan University China

ISBN: (纸本)9798350352214

Multiple Myeloma (MM) is a common malignant tumor in hematological diseases, and its incidence increases year by year. The membrane protein CD138 interacts with the proliferation and evolution of cancer cells during the development of MM. It is an important basis for the diagnosis of MM to obtain the data of malignant plasma cell membrane protein CD138 by single molecule localization microscopy and quantify its abnormal expression. The traditional quantitative analysis method has many drawbacks, such as a large amount of data, low speed of calculation and low accuracy. Therefore, we propose a new quantitative clustering analysis method based on machine learning to judge the expression of membrane protein CD138. By fusing the external attention mechanism, the model pays more attention to the statistical characteristics of complete membrane protein data samples, and accurately quantifies the expression of CD138 in the cluster. In addition, the quantitative analysis of the clustering results in this paper provides convenience for pathologists to study the interactions between proteins. Finally, this article uses simulation data and experimental data of membrane protein CD138 to verify the accuracy and feasibility of the algorithm. © 2024 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Constructing self-supporting surfaces with planar quadrilateral elements

引用

Computational Visual Media 2022年第4期8卷 571-583页

作者： Long Ma Sidan Yao Jianmin Zheng Yang Liu Yuanfeng Zhou Shi-Qing Xin Ying He School of Software Shandong UniversityJinan 250101China School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore Internet Graphics Group Microsoft Research AsiaBeijing 100080China School of Computer Science and Technology Shandong UniversityQingdao 266237China

We present a simple yet effective method for constructing 3D self-supporting surfaces with planar quadrilateral(PQ)*** with a triangular discretization of a self-supporting surface,we firstcompute the principal curvatures and directions of each triangular face using a new discrete differential geometryapproach,yielding more accurate results than existing ***,we smooth the principal direction field to reduce the number of ***,we partition all faces into two groups in terms of principalcurvature *** each face with small curvature difference,we compute a stretch matrix that turns the principal directions into a pair of conjugate *** the remaining triangular faces,we simply keep their smoothed principal ***,applying a mixed-integer programming solver to the mixed principal and conjugate direction field,we obtain a planar quadrilateral *** results show that our method is computationally efficient and can yield high-quality PQ meshes that well approximate the geometry of the input surfaces and maintain their self-supporting properties.

关键词： self-supporting surfaces planar quadri-lateral(PQ)meshes conjugate direction fields(CDFs)

来源：评论

学校读者我要写书评

暂无评论

Legal Text Retrieval with Contrastive Representation Learning and Evolutionary Data Augmentation 13

Legal Text Retrieval with Contrastive Representation Learnin...

引用

13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Zhou, Youhua Yan, Xueming Huang, Han Yan, Haowen Chen, Minghao School of Software Engineering South China University of Technology Guangzhou China School of Information Science and Technology Guangdong University of Foreign Studies Guangzhou China School of Computer Science & Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350308365

Legal text retrieval holds significant importance in the audit field, posing a challenge as a semantic matching problem. Despite the success of text semantic matching methods, particularly with the advent of large language models, these approaches face challenges when applied to domain-specific tasks, like legal text retrieval. Specifically, issues arise due to the concentrated distribution of data within the specific domain and the insufficient number of training samples. To address these challenges, this paper introduces a text semantic matching model tailored for the task of legal text retrieval, leveraging contrastive learning and evolutionary algorithms. A contrastive learning-based embedding model, which learns semantic representations in a feature space, is used to minimize the distance between matched text pairs and maximize the distance between unmatched text pairs. Additionally, an evolutionary algorithm-based sample augmentation model is introduced to augment the sample set and enhance the representational capabilities of the samples. The efficacy of the proposed method is evaluated in the context of legal text retrieval in the auditing field, and the experimental results reveal promising outcomes, with the proposed method achieving a Hits@l accuracy of 53.09%, a 2.99% improvement over the best baseline model. The Hits@20 accuracy reaches 75.15%, representing a 2.69% enhancement compared to the state-of-the-art methods. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Modeling and Discovering Data Race with Concurrent Code Property Graphs 23

Modeling and Discovering Data Race with Concurrent Code Prop...

引用

23rd IEEE International Conference on software Quality, Reliability, and Security Companion, QRS-C 2023

作者： Cao, Yang Dong, Yunwei School of Software Northwestern Polytechnical University Xi'an China School of Computer Science and Engineering Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9798350359398

Concurrent programs have brought about higher resource utilization and faster response times. However, the non-determinism in concurrent programs introduces concurrency bugs that are harder to detect than traditional program bugs. These concurrency bugs pose serious threats to the safety and security of software systems. Data races are the most common type of concurrency bug. Previous static analysis techniques either lack precision or face difficulties when applied to large-scale programs. The vulnerability detection tool Joern provides a new static approach that uses a novel source code representation, called code property graph, and effectively mines various types of source code vulnerabilities in large-scale programs through graph traversal. However, because the code property graph does not model the concurrency relationships between threads, Joern does not support the detection of concurrency bugs. Therefore, this paper proposes a property graph-based data race detection method called RaceQuery. This method introduces the concept of property graphs to represent concurrent programs. It constructs the concurrent code property graph based on the control flow graph and enhances it with synchronization operations analysis to improve detection precision. Subsequently, RaceQuery generates a set of concurrent thread pairs for the program based on the concurrent code property graph and models data races through graph traversal. This enables RaceQuery to effectively locate data races in the concurrent code property graph. The method is implemented as a prototype system using the popular graph database Neo4j and successfully detects 2 data races in an open-source project. © 2023 IEEE.

关键词： Static analysis

来源：评论

学校读者我要写书评

暂无评论

Light field depth estimation:A comprehensive survey from principles to future

引用

High-Confidence Computing 2024年第1期4卷 92-107页

作者： Tun Wang Hao Sheng Rongshan Chen Da Yang Zhenglong Cui Sizhe Wang Ruixuan Cong Mingyuan Zhao State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Zhongfa Aviation Institute Beihang UniversityHangzhou 311115China Faculty of Applied Sciences Macao Polytechnic UniversityMacao 999078China State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Light Field(LF)depth estimation is an important research direction in the area of computer vision and computational photography,which aims to infer the depth information of different objects in threedimensional scenes by capturing LF *** this new era of significance,this article introduces a survey of the key concepts,methods,novel applications,and future trends in this *** summarize the LF depth estimation methods,which are usually based on the interaction of radiance from rays in all directions of the LF data,such as epipolar-plane,multi-view geometry,focal stack,and deep *** analyze the many challenges facing each of these approaches,including complex algorithms,large amounts of computation,and speed *** addition,this survey summarizes most of the currently available methods,conducts some comparative experiments,discusses the results,and investigates the novel directions in LF depth estimation.

关键词： Light field Depth estimation Deep learning Sub-aperture image Epipolar-plane image

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：