Prioritizing and Ranking the Big Data Information Security Risk Spectrum

Bharathi, S. Vijayakumar

doi:10.1007/s40171-017-0157-5

Cited by 24 publications

(13 citation statements)

References 113 publications

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“…Another problem in group decision-making is information security. Regarding the study by Bharathi in 2017, data brokering, global exposure to personal data and lack of governance-based security design are the top three risk factors in this case [90].…”

Section: Risk Managementmentioning

confidence: 87%

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

Ardebili

Padoano

2020

Sustainability

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The most critical decisions usually involve several decision makers with different roles and opportunities to commit key resources. Several group decision-making (GDM) approaches can support the identification of a joint or compromise decision in less conflicting settings, where there is a group of subjects (e.g’, partners) who pursue a common overall objective. However, considering the uncertainty in future events and complexity of modern-day systems, decision processes do not always produce beneficial results or give the participants a positive perception of their role in the process. Group decision-making should then take into consideration some aspects that might insure future resilience and sustainability, particularly the achievement of the objectives in view of future risks and the transparency and participation that are needed to limit problems in the implementation phase of the decision. The literature survey presented in this study identified a research gap regarding GDM. Differently from traditional GDM, which was first discussed in the early 1980s and whose body of knowledge is pretty defined, resilient and sustainable GDM (R&S GDM) is fairly new. The main objective of this study is then identifying the main attributes for supporting sustainable and resilient group decisions. To this aim, a preliminary focused systematic review was conducted to study the existing group decision-making methods in the literature and how the concepts of sustainability and resilience have been employed. After defining the search keywords and exclusion criteria for the individuation of the articles, the first screening process was carried out and the most relevant articles were selected. The last steps of the systematic review were the classification of the articles and the full paper examination to extract the main factors of R&S GDM. Seven attributes were listed as the key factors of R&S GDM. In light of those factors, a group decision process concerning an injection moulding line in Tajikistan was investigated. The case study highlighted that over self-confidence, information flow and transparency were the main reasons for faulty decisions, thus suggesting that information system and information fluidity play an important role in R&S GDM. Finally, the most important managerial implications of R&S GDM are reported.

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Section: Risk Managementmentioning

confidence: 87%

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

Ardebili

Padoano

2020

Sustainability

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“…The value of λ max = 7.702, and the value of the CI was calculated using Equation (15), and it was 0.117. Similarly, the value of CR was calculated using Equation (16), and it was 0.089 which is less than 0.1.…”

Section: Application Of the Fuzzy Ahp For The Selection Of Informatiomentioning

confidence: 99%

“…Several types of risk management methods and techniques have been developed to solve these issues by applying qualitative and quantitative modeling. Quantitative techniques that depend upon decision-making criteria are still lacking [16].…”

Section: Introductionmentioning

confidence: 99%

Prioritization of Information Security Controls through Fuzzy AHP for Cloud Computing Networks and Wireless Sensor Networks

Tariq

Ahmed

Memon

et al. 2020

Sensors

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With the advent of cloud computing and wireless sensor networks, the number of cyberattacks has rapidly increased. Therefore, the proportionate security of networks has become a challenge for organizations. Information security advisors of organizations face difficult and complex decisions in the evaluation and selection of information security controls that permit the defense of their resources and assets. Information security controls must be selected based on an appropriate level of security. However, their selection needs intensive investigation regarding vulnerabilities, risks, and threats prevailing in the organization as well as consideration of the implementation, mitigation, and budgetary constraints of the organization. The goal of this paper was to improve the information security control analysis method by proposing a formalized approach, i.e., fuzzy Analytical Hierarchy Process (AHP). This approach was used to prioritize and select the most relevant set of information security controls to satisfy the information security requirements of an organization. We argue that the prioritization of the information security controls using fuzzy AHP leads to an efficient and cost-effective assessment and evaluation of information security controls for an organization in order to select the most appropriate ones. The proposed formalized approach and prioritization processes are based on International Organization for Standardization and the International Electrotechnical Commission (ISO/IEC) 27001:2013. But in practice, organizations may apply this approach to any information security baseline manual. Under many contradictory obstacles, the decisions made by humans are not reliable, because the human brain is only capable of evaluating and acting on a limited amount of information at any given moment [17]. To help decision makers solve actual problems for organizations, Thomas Sati (1980) [23] introduced the Analytical Hierarchy Process (AHP). This approach is based on the comparison of pairs between an alternative and a best possible alternative. The strength of the AHP lies in its neutral and logical classification and its flexibility to integrate various functions such as the deployment of quality functions, linear programming, and fuzzy. The benefit of the AHP methodology in conjunction with fuzzy logic is called fuzzy AHP which is the most important method of the multi-criteria decision-making methodology for various types of applications [24]. The fuzzy AHP approach helps to make decisions with various inclinations, fuzziness, and vulnerability. Research has shown the fuzzy AHP philosophy and furthered the supreme utilization of it [25]. It is practical for dealing with uncertainty, complexity, and decision making for complex issues of a controversial nature [26].The structure of the article is as follows: Section 2 is related to the integration of wireless sensor networks with cloud computing. Section 3 reviews previous approaches for the selection of ISCs in organizations. Section 4 presents the AHP, and...

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“…La aplicación de Big Data ofrece beneficios significativos para los individuos y la sociedad, pero también plantea serias preocupaciones sobre varios riesgos de seguridad de la información como la seguridad de los datos, el gobierno y la privacidad [12]. Uno de los principales problemas en el uso de los sistemas Big Data es la seguridad.…”

Section: Palabras Clave-big Data Análisis Y Gestión De Riesgos Seguunclassified

MARISMA-BiDa: Gestión y Control del riesgo en Big Data. Caso de Estudio

Rosado¹,

Moreno²,

Sánchez³

et al. 2020

Seguridad Informática. X Congreso Iberoamericano, CIBSI 2020

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Prioritizing and Ranking the Big Data Information Security Risk Spectrum

Cited by 24 publications

References 113 publications

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

Prioritization of Information Security Controls through Fuzzy AHP for Cloud Computing Networks and Wireless Sensor Networks

MARISMA-BiDa: Gestión y Control del riesgo en Big Data. Caso de Estudio

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