FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2764290638> ?p ?o ?g. }

• W2764290638 abstract "With the evolution of networking technology, mobile devices and E-Commerce have played a more pervasive role in enterprise production environment. Computer networks have been adopted as an indispensable part of an enterprise’s operations, resource planning and customer relation management, and so on. The evolved computer networks enable more flexible and innovative business tools such as wireless internet banking and mobile advertising. At the same time, the increasing network scale and data volume have introduced new challenges for enterprises. The increased volume of enterprise data has become more difficult to manage. The increased value of information is making the enterprise information systems bigger targets for hackers. The industry needs more efficient analytic systems that not only organize the essential processes and procedures to assess vast amount of data, but also help enterprise to make decisions on how to secure their information systems and business operations.Recent dramatic increases in the rate of data creation have left enterprises grappling with the complexities of big data. Wisely utilizing enterprise data has become a significant part of enhancing the enterprise productivity. Proper processes with the data from various sources are expected to increase profitability and the overall value of enterprise. Although a lot of existing research have exploited strategies to deal with the new challenges faced by modern enterprise information systems, none of them constitutes a widely acceptable solution. In addition, various implementations of distribution computing techniques have been done in solving enterprise security and operational issues. However, those implementations are mostly ad hoc application for the specific projects. Lacking of a universal framework, it requires higher investigation cost before/during implementing the projects.This research aims to create a better solution with the merits of incorporating distributed computing with information fusion to facilitate the enterprise security and operation. Distributed computing is an agile solution for handling such a large amount of data. Information fusion can be an effective vehicle over distributed environments for the automated generation of analysis results and business strategies from the overwhelming information haystacks. This research combines these methodologies to constitute a series of innovative solutions for the core issues in the big data era, including the information overload and analytic complexity. As a result, enterprise can solve the akin issues with high cost-efficiency and high performance with the developed models. The techniques developed in the research are conducive to the security assessment of large enterprise information systems, and operational data analysis for improving business performance. These techniques include integrated analytic methods on the platitude transactions of security logs and business activities. The frameworks developed in the research utilize the innovative concepts to provide remedies…" @default.
• W2764290638 created "2017-10-20" @default.
• W2764290638 creator A5009292109 @default.
• W2764290638 date "2017-01-01" @default.
• W2764290638 modified "2023-09-26" @default.
• W2764290638 title "Enterprise security assessment and operation analysis using distributed computing and information fusion techniques" @default.
• W2764290638 hasPublicationYear "2017" @default.
• W2764290638 type Work @default.
• W2764290638 sameAs 2764290638 @default.
• W2764290638 citedByCount "0" @default.
• W2764290638 crossrefType "journal-article" @default.
• W2764290638 hasAuthorship W2764290638A5009292109 @default.
• W2764290638 hasConcept C10590034 @default.
• W2764290638 hasConcept C115903868 @default.
• W2764290638 hasConcept C123657996 @default.
• W2764290638 hasConcept C142362112 @default.
• W2764290638 hasConcept C146342590 @default.
• W2764290638 hasConcept C149859251 @default.
• W2764290638 hasConcept C153349607 @default.
• W2764290638 hasConcept C184062371 @default.
• W2764290638 hasConcept C185765463 @default.
• W2764290638 hasConcept C26713055 @default.
• W2764290638 hasConcept C27295321 @default.
• W2764290638 hasConcept C2777960535 @default.
• W2764290638 hasConcept C38652104 @default.
• W2764290638 hasConcept C41008148 @default.
• W2764290638 hasConcept C53996427 @default.
• W2764290638 hasConcept C56739046 @default.
• W2764290638 hasConcept C67571701 @default.
• W2764290638 hasConcept C82419060 @default.
• W2764290638 hasConceptScore W2764290638C10590034 @default.
• W2764290638 hasConceptScore W2764290638C115903868 @default.
• W2764290638 hasConceptScore W2764290638C123657996 @default.
• W2764290638 hasConceptScore W2764290638C142362112 @default.
• W2764290638 hasConceptScore W2764290638C146342590 @default.
• W2764290638 hasConceptScore W2764290638C149859251 @default.
• W2764290638 hasConceptScore W2764290638C153349607 @default.
• W2764290638 hasConceptScore W2764290638C184062371 @default.
• W2764290638 hasConceptScore W2764290638C185765463 @default.
• W2764290638 hasConceptScore W2764290638C26713055 @default.
• W2764290638 hasConceptScore W2764290638C27295321 @default.
• W2764290638 hasConceptScore W2764290638C2777960535 @default.
• W2764290638 hasConceptScore W2764290638C38652104 @default.
• W2764290638 hasConceptScore W2764290638C41008148 @default.
• W2764290638 hasConceptScore W2764290638C53996427 @default.
• W2764290638 hasConceptScore W2764290638C56739046 @default.
• W2764290638 hasConceptScore W2764290638C67571701 @default.
• W2764290638 hasConceptScore W2764290638C82419060 @default.
• W2764290638 hasLocation W27642906381 @default.
• W2764290638 hasOpenAccess W2764290638 @default.
• W2764290638 hasPrimaryLocation W27642906381 @default.
• W2764290638 hasRelatedWork W1018533469 @default.
• W2764290638 hasRelatedWork W1509453252 @default.
• W2764290638 hasRelatedWork W1996782219 @default.
• W2764290638 hasRelatedWork W2004737844 @default.
• W2764290638 hasRelatedWork W2020748044 @default.
• W2764290638 hasRelatedWork W2225251646 @default.
• W2764290638 hasRelatedWork W2469548821 @default.
• W2764290638 hasRelatedWork W271607079 @default.
• W2764290638 hasRelatedWork W2736371212 @default.
• W2764290638 hasRelatedWork W2773265687 @default.
• W2764290638 hasRelatedWork W2784186713 @default.
• W2764290638 hasRelatedWork W2890365786 @default.
• W2764290638 hasRelatedWork W2898552976 @default.
• W2764290638 hasRelatedWork W2905614535 @default.
• W2764290638 hasRelatedWork W3017374977 @default.
• W2764290638 hasRelatedWork W3190599126 @default.
• W2764290638 hasRelatedWork W3204654515 @default.
• W2764290638 hasRelatedWork W63600558 @default.
• W2764290638 hasRelatedWork W1704644227 @default.
• W2764290638 hasRelatedWork W2023105083 @default.
• W2764290638 isParatext "false" @default.
• W2764290638 isRetracted "false" @default.
• W2764290638 magId "2764290638" @default.
• W2764290638 workType "article" @default.