The nature of security: A conceptual framework for integral-comprehensive modeling of IT security and cybersecurity

Villalón-Fonseca, Ricardo

doi:10.1016/j.cose.2022.102805

Cited by 11 publications

(3 citation statements)

References 5 publications

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“…Interaction systems improve company productivity through IT infrastructure mediation. A resilient IT infrastructure guarantees an interaction system's stability and scalability, enabling worker collaboration and communication (Villalón-Fonseca, 2022). This capability helps organizations maximize the benefits of online collaboration platforms and virtual teams, enhancing resource allocation and operations.…”

Section: It Infrastructure As a Mediatormentioning

confidence: 99%

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement

Li,

Ren

2024

J INFORM SYSTEMS ENG

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Making informed decisions and improving organizational performance are crucial in the modern, data-driven environment. These processes are significantly shaped by a number of variables, including Data Imaging, Interaction Systems, Decision Support Systems, IT Infrastructure, and Technology Readiness. Interaction Systems enable communication and teamwork, Data Imaging translates complex data into visual insights, and Decision Support Systems offer cutting-edge analytics. The IT infrastructure serves as the foundation of technology, and technology readiness measures how ready people and universities are to adopt new technologies. This research aims to explore the interplay between these variables within the context of organizational change theory and their impact on organizational performance and decision-making. Additionally, it examines the moderating effect of Technology Readiness and the mediating role of IT Infrastructure in the organizational change process. Structural Equation Modeling (SEM) in AMOS is used to do this study quantitatively. A total of 450 professionals from various fields are surveyed using reliable questionnaires to compile this data. Within the context of organizational change theory, this study provides insights into the complex interactions between these factors and their combined impact on organizational performance and decision-making. It offers insightful information about how university management can use technology and human resources to improve decision-making procedures and overall performance results. This study adds to both practical and theoretical knowledge, providing concrete recommendations for firms trying to thrive in a technologically driven society. It also increases theoretical understanding by offering a comprehensive framework and putting light on the roles of IT Infrastructure, and Technology Readiness in the decision-making and performance improvement of universities.

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Section: It Infrastructure As a Mediatormentioning

confidence: 99%

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement

Li,

Ren

2024

J INFORM SYSTEMS ENG

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“…Ši žemėlapio sritis padengia bet koki ˛priemoniu ˛taikym ą ir sprendimu ˛integravim ą, laikom ą i ˛gyvendinimu infrastruktūroje arba programinėje i ˛rangoje, pradedant architektūros projektavimu ir baigiant veiklos palaikymu. Ši sritis remiasi IT sistemu ˛saugumu ir apima visus, su šiomis sistemomis s ąveikaujančius objektus [66] atsižvelgiant i ˛kibernetinio saugumo kontekst ą. Svarbu pabrėžti, kad projektavimas ir kūrimas neapsiriboja tik IT sistemomis, bet apima ir industrines valdymo sistemas. Be abejo, pavyzdžiui, inžinerijos procesuose [64] reikėtu ˛atsižvelgti i ˛SCADA saugumo ir IT saugumo skirtumus, pavyzdžiui, ryšiu ˛protokolus ir atsparumo grėsmėms tolerancijos lygius.…”

Section: Pav Ks Dimensijos Pagal Veiklasunclassified

Cybersecurity competence map of Lithuania

Bukauskas¹,

Brilingaitė²,

Ikamas³

et al. 2022

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The rapid advancement of technologies and transfer of services to cyberspace inevitably leads to an increased number of cyber incidents raising a threat to national economic and political stability. Cybersecurity (CS) specialists tasked with the prevention of these incidents usually have IT education. Demand for these specialists grows in Lithuania the same way as in other countries. However, it is not easy to satisfy it because the CS job requires specific technological knowledge from several overlapping areas as well as an extensive collection of general competencies. Therefore, a country must have a national-level strategy of recruitment and coordinated education of the specialists to meet future workforce demands. Experience of other countries shows a need to attract non-technological specialists to the area. This project aims to prepare the first Lithuanian cyber competence map together with recommendations on how to attract specialists to the CS sector and how to advance their competencies. During the project, we explored the demand for CS specialists in Lithuania and the world, surveyed the opinions of CS professionals, management and specialists from private and public sector organizations, including national defence sector. Also, we determined the career path of the specialists, analyzed job offers, distinguished work roles, and gathered findings and recommendations from scientific research papers and similar reports of other countries. The results of the project include a publicly available database of collected data, expert findings of the research and recommendations for stakeholders, and a submitted scientific article to promote the results.

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“…A framework helps in providing knowledge in a structural manner enabling any organization or an individual to leverage it and apply it for their use case [28]. Successfully detecting a cyber threat usually requires knowledge on standard and common adversary practices, method to detect and mitigate the attacks.…”

Section: Attack Frameworkmentioning

confidence: 99%

A Cybersecurity Framework Using Machine Learning for Red Team Operators

Singh¹

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As the use of online services increases, so does the risk of compromised personal data. In response, organizations deploy blue and red teams to protect their networks from cyberattacks. While numerous solutions exist for supporting blue team efforts, there is a lack of equivalent support for red teams. This thesis proposes a real-time framework designed to assist red teams in their tasks, automating redundant tasks and suggesting potential network vulnerabilities. The framework also offers integration of machine learning algorithms for predicting probable attack paths. Moreover, we evaluate a Hidden Markov Model algorithm on a network and evaluate the performance of the framework.

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The nature of security: A conceptual framework for integral-comprehensive modeling of IT security and cybersecurity

Cited by 11 publications

References 5 publications

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement

Cybersecurity competence map of Lithuania

A Cybersecurity Framework Using Machine Learning for Red Team Operators

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