Computer Science Review最新文献

{"title":"A survey of set accumulators for blockchain systems","authors":"Matteo Loporchio,&nbsp;Anna Bernasconi,&nbsp;Damiano Di Francesco Maesa,&nbsp;Laura Ricci","doi":"10.1016/j.cosrev.2023.100570","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100570","url":null,"abstract":"<div><p>Set accumulators are cryptographic primitives used to represent arbitrarily large sets of elements with a single constant-size value and to efficiently verify whether a value belongs to that set. Accumulators support the generation of membership proofs, meaning that they can certify the presence of a given value among the elements of a set. In this paper we present an overview of the theoretical concepts underlying set accumulators, we compare the most popular constructions from a complexity perspective, and we survey a number of their applications related to blockchain technology. In particular, we focus on four different use cases: query authentication, stateless transactions validation, anonymity enhancement, and identity management. For each of these scenarios, we examine the main problems they introduce and discuss the most relevant accumulator-based solutions proposed in the literature. Finally, we point out the common approaches between the proposals and highlight the currently open problems in each field.</p></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 ","pages":"Article 100570"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49762433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network resource management mechanisms in SDN enabled WSNs: A comprehensive review","authors":"Vikas Tyagi,&nbsp;Samayveer Singh","doi":"10.1016/j.cosrev.2023.100569","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100569","url":null,"abstract":"<div><p>Wireless technologies<span> usually have very limited computing, memory, and battery power that require the optimal management of network resources to increase network performance. The optimization of these network resources provides an efficient network topology<span><span>, traffic control, routing, and data aggregation. This study presents a qualitative and quantitative investigation to evaluate the efficient network resource management mechanisms for software defined </span>wireless sensor networks<span><span> (SDN-enabled WSNs) from the beginning of network design to reliable data delivery. In this paper, a taxonomy of network resource management research studies is proposed. A detailed analysis of SDN-enabled WSNs architecture, SDN controllers, topology discovery, routing approaches, flow rules installation, and data aggregation is also discussed. Furthermore, the comparative analysis of </span>resource provisioning methods along with various simulation tools is presented. Moreover, this review outlines open research challenges and prospective future directions for network resource management in SDN-enabled WSNs.</span></span></span></p></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 ","pages":"Article 100569"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49725187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized traffic engineering in Software Defined Wireless Network based IoT (SDWN-IoT): State-of-the-art, research opportunities and challenges","authors":"Rohit Kumar, V. U., V. Tiwari","doi":"10.1016/j.cosrev.2023.100572","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100572","url":null,"abstract":"","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 1","pages":"100572"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54128371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aspect based sentiment analysis using deep learning approaches: A survey","authors":"G. Chauhan, Ravi Nahta, Y. Meena, D. Gopalani","doi":"10.1016/j.cosrev.2023.100576","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100576","url":null,"abstract":"","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 1","pages":"100576"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54128387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized traffic engineering in Software Defined Wireless Network based IoT (SDWN-IoT): State-of-the-art, research opportunities and challenges","authors":"Rohit Kumar ,&nbsp;Venkanna U. ,&nbsp;Vivek Tiwari","doi":"10.1016/j.cosrev.2023.100572","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100572","url":null,"abstract":"<div><p>Wireless networks have been in focus since the last few decades due to their indispensable role in the future generation networks like the Internet of Things<span> (IoT). However, the associated challenges in wireless network implementation such as distance, line-of-sight, interference, weather, power issues, etc., affect the performance adversely. Software Defined Networking<span> (SDN) is a future generation networking technology and has been proven to alleviate the performance challenges in the existing wireless IoT networks. It helps to evolve the wireless IoT domain in the form of Software Defined Wireless Network based IoT (SDWN-IoT). Traffic Engineering (TE) has been part of traditional network designs since long back, to improve the performance of the communication networks. However, its more optimized forms and their usefulness in SDWN-IoT networks have been under active investigation. This work explores the existing literature related to the major types of SDWN-IoT networks namely, Software Defined Wireless Sensor Network<span> based IoT (SDWSN-IoT) and Software Defined Wireless Mesh Network based IoT (SDWMN-IoT). Additionally, the article also draws some useful inferences, and compares respective contributions and shortcomings. Finally, various research opportunities and challenges have been discussed with respect to the SDWSN-IoT and SDWMN-IoT networks.</span></span></span></p></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 ","pages":"Article 100572"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49725164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network resource management mechanisms in SDN enabled WSNs: A comprehensive review","authors":"V. Tyagi, Samayveer Singh","doi":"10.1016/j.cosrev.2023.100569","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100569","url":null,"abstract":"","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 1","pages":"100569"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54128358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications","authors":"Amanda Calatrava ,&nbsp;Hernán Asorey ,&nbsp;Jan Astalos ,&nbsp;Alberto Azevedo ,&nbsp;Francesco Benincasa ,&nbsp;Ignacio Blanquer ,&nbsp;Martin Bobak ,&nbsp;Francisco Brasileiro ,&nbsp;Laia Codó ,&nbsp;Laura del Cano ,&nbsp;Borja Esteban ,&nbsp;Meritxell Ferret ,&nbsp;Josef Handl ,&nbsp;Tobias Kerzenmacher ,&nbsp;Valentin Kozlov ,&nbsp;Aleš Křenek ,&nbsp;Ricardo Martins ,&nbsp;Manuel Pavesio ,&nbsp;Antonio Juan Rubio-Montero ,&nbsp;Juan Sánchez-Ferrero","doi":"10.1016/j.cosrev.2023.100571","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100571","url":null,"abstract":"<div><p>Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society. The European Open Science Cloud (EOSC) initiative is an effort in Europe to provide an open, trusted, virtual and federated computing environment to execute scientific applications and store, share and reuse research data across borders and scientific disciplines. Additionally, scientific services are becoming increasingly data-intensive, not only in terms of computationally intensive tasks but also in terms of storage resources. To meet those resource demands, computing paradigms such as High-Performance Computing (HPC) and Cloud Computing are applied to e-science applications. However, adapting applications and services to these paradigms is a challenging task, commonly requiring a deep knowledge of the underlying technologies, which often constitutes a general barrier to its uptake by scientists. In this context, EOSC-Synergy, a collaborative project involving more than 20 institutions from eight European countries pooling their knowledge and experience to enhance EOSC’s capabilities and capacities, aims to bring EOSC closer to the scientific communities. This article provides a summary analysis of the adaptations made in the ten thematic services of EOSC-Synergy to embrace this paradigm. These services are grouped into four categories: Earth Observation, Environment, Biomedicine, and Astrophysics. The analysis will lead to the identification of commonalities, best practices and common requirements, regardless of the thematic area of the service. Experience gained from the thematic services can be transferred to new services for the adoption of the EOSC ecosystem framework. The article made several recommendations for the integration of thematic services in the EOSC ecosystem regarding Authentication and Authorization (federated regional or thematic solutions based on EduGAIN mainly), FAIR data and metadata preservation solutions (both at cataloguing and data preservation—such as EUDAT’s B2SHARE), cloud platform-agnostic resource management services (such as Infrastructure Manager) and workload management solutions.</p></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 ","pages":"Article 100571"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49724635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Private set intersection: A systematic literature review","authors":"Daniel Morales Escalera, Isaac Agudo, Javier López","doi":"10.1016/j.cosrev.2023.100567","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100567","url":null,"abstract":"","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 1","pages":"100567"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54128339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic review on privacy categorisation","authors":"P. Inverardi, P. Migliarini, Massimiliano Palmiero","doi":"10.1016/j.cosrev.2023.100574","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100574","url":null,"abstract":"","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 1","pages":"100574"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54128382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic review on privacy categorisation","authors":"Paola Inverardi ,&nbsp;Patrizio Migliarini ,&nbsp;Massimiliano Palmiero","doi":"10.1016/j.cosrev.2023.100574","DOIUrl":"https://doi.org/10.1016/j.cosrev.2023.100574","url":null,"abstract":"<div><p>In the modern digital world users need to make privacy and security choices that have far-reaching consequences. Researchers are increasingly studying people’s decisions when facing with privacy and security trade-offs, the pressing and time consuming disincentives that influence those decisions, and methods to mitigate them. This work aims to present a systematic review of the literature on privacy categorisation, which has been defined in terms of profile, profiling, segmentation, clustering and personae. Privacy categorisation involves the possibility to classify users according to specific prerequisites, such as their ability to manage privacy issues, or in terms of which type of and how many personal information they decide or do not decide to disclose. Privacy categorisation has been defined and used for different purposes. The systematic review focuses on three main research questions that investigate the study contexts, i.e. the motivations and research questions, that propose privacy categorisations; the methodologies and results of privacy categorisations; the evolution of privacy categorisations over time. Ultimately it tries to provide an answer whether privacy categorisation as a research attempt is still meaningful and may have a future.</p></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 ","pages":"Article 100574"},"PeriodicalIF":12.9,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49725165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}