Differentiated security levels for personal identifiable information in identity management system

Chen, Jianyong; Wu, Guihua; Shen, Linlin; Ji, Zhen

doi:10.1016/j.eswa.2011.04.226

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…3, and give rating with 1-9 scale. Obtained the comparison matrix from the criteria level (shows in Table 4), and the subfactors level (shows in Tables 5,6,7). And then calculate the eigenvalues ( ) of these matrices by calculating sum of geometric mean (S. G. M.) of column vector.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…The preliminary work what we need to do, first, we collected the literature relevant to risk assessment [7], [11]- [15], sorted out three categories of risk factors on Table 1, which caused risk of information assets disclosed or damaged, and the enterprises losses. Three categories of risk factors are human factors, environmental factors, and technological factors.…”

Section: Methodsmentioning

confidence: 99%

“…Risk management is one of the necessary processes for enterprises effectively manage and access user's personally identifiable information (PII). The one of risk management processes is risk assessment, this study using the analytic hierarchy (AHP) process [6] for risk assessment, to find security level [7] with the risk factors of personal information, rather than calculate the probability of risk occurrence. Corresponding security level with the risk factors of personal information, so that help managers to find the suitable countermeasures to protect users PII.…”

Section: Introductionmentioning

confidence: 99%

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Corresponding Security Level with the Risk Factors of Personally Identifiable Information through the Analytic Hierarchy Process

Lin¹,

Lin²,

Wu³

2016

JCP

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Abstract:Since Taiwan government has announced the New Version of Personal Information Protection Act , People began to pay attention to their personal information and privacy. Many industries significantly increased their responsibilities and faced more serious challenges. In order to cope with the requirements of the new law, BS10012 specification can help enterprises to reduce impact of personal data protection law. Enterprises need to rethink policy objectives, and make risk assessment of personally identifiable information (PII). This study using analytic hierarchy process (AHP) to identify the security level of PII. Corresponding security level with the risk factors of personal information, so that find the suitable countermeasure to protect users PII. Rarely see research about risk assessment of PII by using AHP, therefore the feasibility of the application of AHP in this regard is worthwhile to explore.Keywords: BS10012, personally information, new version of personal information protection act.

show abstract

Section: Experiments and Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Corresponding Security Level with the Risk Factors of Personally Identifiable Information through the Analytic Hierarchy Process

Lin¹,

Lin²,

Wu³

2016

JCP

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show abstract

“…In addition, a monitoring software should be used to ensure the consistency and completeness of the user activity log. Chen et al [30] noted that many enterprises implement automating user provisioning to enhance security, improve efficiency, reduce costs, maintain data quality and ensure regulation compliance. Cloud computing has changed the security landscape of enterprises from internal to external networks, with increased emphasis on identification, and message and data protection [31].…”

Section: Automating User Provisioningmentioning

confidence: 99%

“…[48] Periodic inspection of access (c 3 ) Periodic testing of identity management system to detect damage and ensure access security. [30,31] Operations (D)…”

Section: Dimensions/criteria Descriptions Referencesmentioning

confidence: 99%

Exploring the Key Risk Factors for Application of Cloud Computing in Auditing

Chen

2016

Entropy

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Abstract:In the cloud computing information technology environment, cloud computing has some advantages such as lower cost, immediate access to hardware resources, lower IT barriers to innovation, higher scalability, etc., but for the financial audit information flow and processing in the cloud system, CPA (Certified Public Accountant) firms need special considerations, for example: system problems, information security and other related issues. Auditing cloud computing applications is the future trend in the CPA firms, given this issue is an important factor for them and very few studies have been conducted to investigate this issue; hence this study seeks to explore the key risk factors for the cloud computing and audit considerations. The dimensions/perspectives of the application of cloud computing audit considerations are huge and cover many criteria/factors. These risk factors are becoming increasingly complex, and interdependent. If the dimensions could be established, the mutually influential relations of the dimensions and criteria determined, and the current execution performance established; a prioritized improvement strategy designed could be constructed to use as a reference for CPA firm management decision making; as well as provide CPA firms with a reference for build auditing cloud computing systems. Empirical results show that key risk factors to consider when using cloud computing in auditing are, in order of priority for improvement: Operations (D), Automating user provisioning (C), Technology Risk (B) and Protection system (A).

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Development of a Decentralized Personal Indefinable Information (PII) Management Systems Using Blockchain dBFT Consensus Algorithm

Kareem,

Jahankhani

2023

Advanced Sciences and Technologies for Security Applications

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Differentiated security levels for personal identifiable information in identity management system

Cited by 11 publications

References 18 publications

Corresponding Security Level with the Risk Factors of Personally Identifiable Information through the Analytic Hierarchy Process

Corresponding Security Level with the Risk Factors of Personally Identifiable Information through the Analytic Hierarchy Process

Exploring the Key Risk Factors for Application of Cloud Computing in Auditing

Development of a Decentralized Personal Indefinable Information (PII) Management Systems Using Blockchain dBFT Consensus Algorithm

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