Computer Supported Cooperative Work-The Journal of Collaborative Computing最新文献_第8页

Practical privacy-preserving mixing protocol for Bitcoin 实用的比特币隐私保护混合协议

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152733

Qianqian Chang, Lin Xu, L. Zhang

引用次数: 0

Blockchain-Assisted UAV Data Free-Boundary Spatial Querying and Authenticated Sharing 区块链辅助无人机数据自由边界空间查询与认证共享

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152611

Ya Zhang, Xi Lin, Jun Wu, Bei Pei, Yunyun Han

{"title":"Blockchain-Assisted UAV Data Free-Boundary Spatial Querying and Authenticated Sharing","authors":"Ya Zhang, Xi Lin, Jun Wu, Bei Pei, Yunyun Han","doi":"10.1109/CSCWD57460.2023.10152611","DOIUrl":"https://doi.org/10.1109/CSCWD57460.2023.10152611","url":null,"abstract":"The flexibility and low cost of unmanned aerial vehicles (UAVs) offer great potential for them in areas such as disaster relief, energy line inspection, and traffic monitoring. Multiple UAVs form an airborne UAV network to share geo-tagged observation data for better collaborative missions. Blockchain can solve the security threats caused by the environment’s untrustworthiness and the UAV networks’ openness. However, the key to sharing data in blockchain-assisted UAV networks is identifying and understanding observational data and providing authentication query services in free boundary spatial. This paper proposes a blockchain-assisted UAV network data-sharing framework based on Non-Fungible Token (NFT). First, we design a marking and describing data method based on NFT to help geo-tagged data be effectively understood. Moreover, we propose a free-boundary spatial index tree to manage data and provide efficient queries. Furthermore, combined with the consensus mechanism and the blockchain transaction tree, the proposed sharing framework can provide query results authentication. Compared with the existing schemes, analysis and experiments demonstrate that our scheme could support the arbitrary expansion of UAV flight range and the random distribution of observation data in space, save at least 22% of storage overhead and reduce more than 36% of query time overhead.","PeriodicalId":51008,"journal":{"name":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","volume":"169 1","pages":"565-570"},"PeriodicalIF":2.4,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78818936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interactive Web API Recommendation for Mashup Development based on Light Neural Graph Collaborative Filtering 基于Light Neural Graph协同过滤的Mashup开发交互式Web API推荐

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152817

Jiayan Xiang, Wanjun Chen, Yang Wang, Bowen Liang, Zihao Liu, Guosheng Kang

{"title":"Interactive Web API Recommendation for Mashup Development based on Light Neural Graph Collaborative Filtering","authors":"Jiayan Xiang, Wanjun Chen, Yang Wang, Bowen Liang, Zihao Liu, Guosheng Kang","doi":"10.1109/CSCWD57460.2023.10152817","DOIUrl":"https://doi.org/10.1109/CSCWD57460.2023.10152817","url":null,"abstract":"With the development of Mashup technique, the number of Web APIs released on the Web continues to grow year by year. However, it is a challenging issue to find and select the desirable Web APIs among the large amount of Web APIs. Consequently, interactive Web API recommendation is used to alleviate the difficulty of service selection, when users or developers try to invoke Web APIs for solving their business requirements or software development requirements. Currently, there are several collaborative filtering based approaches proposed for Web API recommendation, while their recommendation performance is limited on both optimality and scalability. This paper proposes a light neural graph collaborative filtering based Web API recommendation approach, named LNGCF. Specifically, LNGCF learns user and item embeddings by linearly propagating them on the user-item interaction graph, and uses the weighted summation of the embeddings learned at all layers as the final embedding. Such simple, linear, and neat model is much easier to implement and train. A set of experiments are conducted on a real-world dataset. Experimental results demonstrate the substantial improvements on both optimality and scalability over the baselines.","PeriodicalId":51008,"journal":{"name":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","volume":"31 1","pages":"1926-1931"},"PeriodicalIF":2.4,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79398217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Keynote 4 - The Good, The Bad, and The Ethical: Exploring Artificial Intelligence in Automatic Decision-Making 主题演讲4 -好、坏和伦理:探索自动决策中的人工智能

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/cscwd57460.2023.10152747

引用次数: 0

Tensions in design and participation processes: An ethnographic approach to the design, building and evaluation of a collective intelligence model 设计和参与过程中的紧张关系:设计、构建和评估集体智慧模型的民族志方法

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152565

Ramon Chaves, C. Motta, António Correia, Jano de Souza, D. Schneider

引用次数: 0

Smart Energy Platform for Large-space Stadium Construction Based on Internet of Things 基于物联网的大空间场馆建设智能能源平台

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152852

Ning Zhang, Tianyue Qiu, Liuliu Du-Ikonen, Xiaojie Lin, Qichao Ye, Jiaying Chen

引用次数: 0

An Answer Summarization Scheme Based on Multilayer Attention Model 一种基于多层注意力模型的答案汇总方案

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152597

Xiaolong Xu, Yihao Dong, Jian Song

引用次数: 0

ATIPM: A Blockchain-Based Anonymous and Traceable Intellectual Property Management Scheme ATIPM:基于区块链的匿名和可追溯知识产权管理方案

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152748

Han Zhang, Lubin Lin, Guipeng Zhang, Zhenguo Yang, Wenyin Liu

{"title":"ATIPM: A Blockchain-Based Anonymous and Traceable Intellectual Property Management Scheme","authors":"Han Zhang, Lubin Lin, Guipeng Zhang, Zhenguo Yang, Wenyin Liu","doi":"10.1109/CSCWD57460.2023.10152748","DOIUrl":"https://doi.org/10.1109/CSCWD57460.2023.10152748","url":null,"abstract":"With the spread of information on the Internet and the explosive growth of intellectual property information, the traditional intellectual property management model relying on third-party institutions cannot meet the demand for intellectual property protection, which has a cumbersome process, low efficiency, and insufficient evidence of rights protection. To address the issues of information falsification and leakage, we present an anonymous and traceable intellectual property management system based on blockchain, namely ATIPM, which employs the non-interactive zero knowledge proof to realize user unlinkability and anonymous transactions to protect the users’ intellectual property information. To avoid a single point of accountability, the ATIPM introduces a threshold ramp secret sharing scheme to achieve the traceability of intellectual property for all users and greatly improve the users’ privacy security and autonomy by preventing information leakage from malicious third-party institutions. Furthermore, the ATIPM can improve the management efficiency of intellectual property by utilizing smart contracts to realize efficient retrieval and verification of intellectual property. The evaluation results demonstrate the effectiveness of our proposed system.","PeriodicalId":51008,"journal":{"name":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","volume":"1 1","pages":"1080-1085"},"PeriodicalIF":2.4,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77622604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Industrial Chain Data Evaluation in Automobile Parts Procurement via Group Multirole Assignment 基于群体多角色分配的汽车零部件采购产业链数据评价

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152642

Ziqi Xiong, Haibin Zhu, Dongning Liu, Jianhui Xian

{"title":"Industrial Chain Data Evaluation in Automobile Parts Procurement via Group Multirole Assignment","authors":"Ziqi Xiong, Haibin Zhu, Dongning Liu, Jianhui Xian","doi":"10.1109/CSCWD57460.2023.10152642","DOIUrl":"https://doi.org/10.1109/CSCWD57460.2023.10152642","url":null,"abstract":"In the production process of automobiles, parts procurement is invariably a crucial step. In order to find an optimal decision, it is a challenge to match parts to suppliers for the limited financial and material capabilities of every supplier. This paper formalized the problem by Group Multirole Assignment (GMRA). Meanwhile, the success of this assignment process depends on the choice of the agent evaluation method. It depends on the industrial chain data, which can acquire feature indexes of parts from previous purchase records. Furthermore, comprehensive evaluation of parts procurement bases on multiple factors. Thus, it is difficult to reflect different quantifications using the multifactorial parameter semantics. Therefore, we propose a new method of Fuzzy Hierarchy Comprehensive Evaluation (FHCE), using membership grades of the fuzzy theory to differentiate the parameter and the weight, which can use objective quantitative analysis to optimize procurement plan. After that, based on GMRA, decision makers are able to maximize the resource utilization ratio to determine optimized solutions when funds or part types are limited. Simulation experiments indicate that the proposed method is efficient and feasible, which is verified practicable.","PeriodicalId":51008,"journal":{"name":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","volume":"62 1","pages":"1049-1054"},"PeriodicalIF":2.4,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77912880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting Fake-Normal Pornographic and Gambling Websites through one Multi-Attention HGNN 基于多关注HGNN的假正常色情赌博网站检测

IF 2.4 3区计算机科学

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152775

Xiaoqing Ma, Chao Zheng, Zhao Li, Jiang Yin, Qingyun Liu, Xunxun Chen

{"title":"Detecting Fake-Normal Pornographic and Gambling Websites through one Multi-Attention HGNN","authors":"Xiaoqing Ma, Chao Zheng, Zhao Li, Jiang Yin, Qingyun Liu, Xunxun Chen","doi":"10.1109/CSCWD57460.2023.10152775","DOIUrl":"https://doi.org/10.1109/CSCWD57460.2023.10152775","url":null,"abstract":"The rapid development of pornographic and gambling websites, fueled by the widespread abuse of information technology, has become a growing concern. They pose a serious threat to the physical and mental health of children and can also endanger personal property. Therefore, it is necessary to detect them. However, pornographic and gambling websites become more and more tricky, which shows fake-normal to evade censorship and challenges traditional content-based detection methods. Therefore, it is essential to rely on information about relationships between websites.We propose HMAN, one Multi-Attention Heterogeneous Graph Neural Network (HGNN) model to detect pornographic and gambling websites by integrating content features and structural information, even if they present fake-normal. By one multi-attention mechanism consisting of explicit weight, self-attention and attention mechanism, content features can be selectively utilized with the assistance of structural information. The experimental results show that our method achieves the best 95.1% Macro-Avg-F1 and outperforms all baselines. We also illustrate that all extracted metapaths do contribute to the detection, where the hyperlink, title/meta terms and IP address are relatively important.","PeriodicalId":51008,"journal":{"name":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","volume":"1 1","pages":"1741-1747"},"PeriodicalIF":2.4,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83085291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0