{"title":"A contracted container-based code component collaboration model with reusable but invisible right management","authors":"Wei Wang , Zhenping Xie","doi":"10.1016/j.ipm.2024.104057","DOIUrl":null,"url":null,"abstract":"<div><div>Existing methodologies for the code collaboration are facing challenges such as leakage of privacy data and insecure centralized management. To alleviate these challenges, we propose a contracted container-based code component collaboration model. Firstly, a specific blockchain is developed as a computational network that supports the storage and verification of sensitive data, which integrates an off-chain file system and encryption algorithms to realize the traceability and version control of privacy data. Secondly, the containerization and smart contract technology are introduced to enhance access control and the secure management and collaboration of code components. Thirdly, a protocol is designed to ensure the high reliability of cross-node information communication. Finally, the results of the prototype experiment demonstrate that the model effectively resists common attacks, meets critical security criteria, and maintains stable performance in the collaboration process. Moreover, compared to the state-of-the-art research, our model implements more valuable functionality characteristics, design goals and security attributes in the code component collaboration practice.</div></div>","PeriodicalId":50365,"journal":{"name":"Information Processing & Management","volume":"62 3","pages":"Article 104057"},"PeriodicalIF":7.4000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Processing & Management","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306457324004163","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Existing methodologies for the code collaboration are facing challenges such as leakage of privacy data and insecure centralized management. To alleviate these challenges, we propose a contracted container-based code component collaboration model. Firstly, a specific blockchain is developed as a computational network that supports the storage and verification of sensitive data, which integrates an off-chain file system and encryption algorithms to realize the traceability and version control of privacy data. Secondly, the containerization and smart contract technology are introduced to enhance access control and the secure management and collaboration of code components. Thirdly, a protocol is designed to ensure the high reliability of cross-node information communication. Finally, the results of the prototype experiment demonstrate that the model effectively resists common attacks, meets critical security criteria, and maintains stable performance in the collaboration process. Moreover, compared to the state-of-the-art research, our model implements more valuable functionality characteristics, design goals and security attributes in the code component collaboration practice.
期刊介绍:
Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing.
We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.