Enterprise architecture modeling based on cloud computing security ontology as a reference model

Janulevičius, Justinas; Marozas, Leonardas; Čenys, Antanas; Goranin, Nikolaj; Ramanauskaitė, Simona

doi:10.1109/estream.2017.7950320

Cited by 12 publications

(6 citation statements)

References 20 publications

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“…Our examination reveals that, for almost a decade after introduction of the new research field, publications focused mainly on subject understanding. Later, the focus shifted towards application and management of enterprise architectures [96]. We identified ''modeling'' as the third significant subcategory, and again, we observed increasing dynamics within this research field.…”

Section: Trends In Enterprise Architecture Managementmentioning

confidence: 61%

The Application of Artificial Intelligence Technologies as a Substitute for Reading and to Support and Enhance the Authoring of Scientific Review Articles

et al. 2019

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To gain a comprehensive overview of new scientific findings with the enormous, ever-increasing amount of published information, we apply a new combinatorial approach that complements the process of reading scientific articles by supplementing artificial intelligence technologies. We present a combinatorial approach, which we illustrate in the form of a ''double funnel of artificial intelligence.'' Our approach suggests to largely increase the amount of data at the beginning of the data collection process and to subsequently clean and enrich the data set in order to gain much more knowledge at the end of the procedure compared to a ''classical'' literature review. We use natural language processing and text visualization techniques to uncover findings that are generally unbeknown to the human reader due to the inability to process very large amounts of text. By illustrating the individual steps using practical examples taken from use cases, we demonstrate the merits of our approach. With our methodology, we are able to reproduce findings from ''regular'' review papers; however, we discover additional and new findings in different fields, such as data science or medicine. We also point out the limitations of our approach. Finally, we make suggestions as to how the methodology could be further developed. INDEX TERMS Computational and artificial intelligence, document handling, fuzzy control, knowledge acquisition, pattern analysis, scientific publishing, text mining, text processing.

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Section: Trends In Enterprise Architecture Managementmentioning

confidence: 61%

The Application of Artificial Intelligence Technologies as a Substitute for Reading and to Support and Enhance the Authoring of Scientific Review Articles

et al. 2019

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“…of matching services, time of execution, average score, and recall. The time of execution minimized by 20% plus maintained the same value for all other parameters as SimQ [31]. There goals was to aim covering all of the areas of security by proposed an ontology based on systematic analysis and mapping of the relevant documentation of cloud computing security.…”

Section: Discussionmentioning

confidence: 99%

“…In 2017, Simona et al [31] proposed ontology by mapping from the recommendations the knowledge needed. According to the overlapping of ontology, the granularity has been chosen and selected for this process.…”

Section: Literature Reviewmentioning

confidence: 99%

Unified Ontology Implementation of Cloud Computing for Distributed Systems

Ageed

Ibrahim

Sadeeq

2020

CJAST

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The ability to provide massive data storage, applications, platforms plus many other services leads to make the number of clouds services providers been increased. Providing different types of services and resources by various providers implies to get a high level of complexity. This complexity leads to face many challenges related to security, reliability, discovery, service selection, and interoperability. In this review, we focus on the use of many technologies and methods for utilizing the semantic web and ontology in cloud computing and distributed system as a solution for these challenges. Cloud computing does not have an own search engine to satisfy the needs of the providers of the cloud service. Using ontology enhances the cloud computing self-motivated via an intelligent framework of SaaS and consolidating the security by providing resources access control. The use RDF and OWL semantic technologies in the modeling of a multi-agent system are very effective in increases coordination the interoperability. One of the most efficient proposed frameworks is building cloud computing marketplace that collects the consumer's requirements of cloud services provider and managing these needs and resources to provide quick and reliable services.

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“…• R. Rainys researches we tied up to computer network infrastructure (Rainys, 2006;Kajackas et al, 2011); • N. Goranin proposed a genetic algorithm based model for estimating the propagation rates of known and perspective Internet worms after their propagation reaches the satiation phase (Goranin et al 2008); • S. Ramanauskaite proposes a composite denial of service attack model that combines bandwidth exhaustion, filtering, and memory depletion models for a more realistic representation of similar cyber attacks (Ramanauskaitė et al 2015); • J. Janulevicius performed analysis of virtualization and risk assessment (Janulevičius et al, 2017); • Several scientists under M.K. Ragulskis leadership performed an indepth analysis of cryptography.…”

Section: Research On Information Security Management In Lithuaniamentioning

confidence: 99%

Information security management framework for small and medium enterprise

Kaušpadienė¹

2019

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Mokslinis vadovas prof. habil. dr. Antanas ČENYS (Vilniaus Gedimino technikos universitetas, informatikos inžinerija-T 007). Vilniaus Gedimino technikos universiteto Informatikos inžinerijos mokslo krypties disertacijos gynimo taryba: Pirmininkas prof. dr. Dalius MAŽEIKA (Vilniaus Gedimino technikos universitetas, informatikos inžinerija-T 007). Nariai: prof. dr. Rimantas BUTLERIS (Kauno technologijos universitetas, informatikos inžinerija-T 007), prof. habil. dr. Gintautas DZEMYDA (Vilniaus universitetas, informatikos inžinerija-T 007), prof. habil. dr. Ioan DZITAC (Oradea Agora universitetas, Rumunija, informatikos inžinerija-T 007), dr. Jevgenijus TOLDINAS (Kauno technologijos universitetas, informatikos inžinerija-T 007). Disertacija bus ginama viešame Informatikos inžinerijos mokslo krypties disertacijos gynimo tarybos posėdyje 2019 m. rugpjūčio 23 d. 10 val. Vilniaus Gedimino technikos universiteto senato posėdžių salėje.

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Enterprise architecture modeling based on cloud computing security ontology as a reference model

Cited by 12 publications

References 20 publications

The Application of Artificial Intelligence Technologies as a Substitute for Reading and to Support and Enhance the Authoring of Scientific Review Articles

The Application of Artificial Intelligence Technologies as a Substitute for Reading and to Support and Enhance the Authoring of Scientific Review Articles

Unified Ontology Implementation of Cloud Computing for Distributed Systems

Information security management framework for small and medium enterprise

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