Browsing by Author "Liu, Che-Hung"

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Applying Fuzzy AHP to Study the KSFs of Information Security Management
(2011-01-01)
Wang, Jen-Sheng
;
Liu, Che-Hung
;
Shyu, Joseph Z.
;
Huang, Hsiao-Wen
;
交大名義發表
The launch of the digital era has made information security management a most significant and critical issue. However, perfect information security management requires certain factors for complete success. This study aims to collect Key Success Factors (KSFs) for information security management through literature review and design of a questionnaire survey. This comprises four major aspects: (1) External dimension, (2) Internal dimension, (3) Technology dimension, and (4) Execution dimension. Based on these, we proceed with categorization and analysis using Fuzzy Analytic Hierarchy Process (Fuzzy AHP or FAHP), which was applied to this study to overcome the seeming failure of general Analytical Hierarchy Process (AHP) in dealing with respondents' impersonal differences in paired comparison. The ordered ranking of objectives under each aspect is: system, human resource, security function, organization, performance, operation, market, and legislation. The results sifted from the FAHP approach suggest five top key success factors: "Training Plan", "MIS Staffing", "System Structure", "Regulation", and "Maintain Service".
Applying Fuzzy AHP to Study the KSFs of Information Security Management
(2011-01-01)
Wang, Jen-Sheng
;
Liu, Che-Hung
;
Shyu, Joseph Z.
;
Huang, Hsiao-Wen
;
科技管理研究所
The launch of the digital era has made information security management a most significant and critical issue. However, perfect information security management requires certain factors for complete success. This study aims to collect Key Success Factors (KSFs) for information security management through literature review and design of a questionnaire survey. This comprises four major aspects: (1) External dimension, (2) Internal dimension, (3) Technology dimension, and (4) Execution dimension. Based on these, we proceed with categorization and analysis using Fuzzy Analytic Hierarchy Process (Fuzzy AHP or FAHP), which was applied to this study to overcome the seeming failure of general Analytical Hierarchy Process (AHP) in dealing with respondents' impersonal differences in paired comparison. The ordered ranking of objectives under each aspect is: system, human resource, security function, organization, performance, operation, market, and legislation. The results sifted from the FAHP approach suggest five top key success factors: "Training Plan", "MIS Staffing", "System Structure", "Regulation", and "Maintain Service".
Biometrics technology evaluating and selecting model building
(2013-10-01)
Wang, Jen-Sheng
;
Liu, Che-Hung
;
Shyu, Joseph Z.
;
科技管理研究所
;
Institute of Management of Technology
Biometrics has been vigorously promoted around the world as a means to strengthen security and privacy in the IT world. Biometrics has been applied in specific areas for decades and proliferated in customer and resident electronic products to enhance security and privacy. This study evaluated biometrics through conventional technology assessment considerations combined with viewpoints from the particularity of biometric technologies and provides suggestions for selection. In order to achieve biometric technology assessment, we examined how different evaluating objects, technology assessment, biometric competence and key elements of biometric, lead to corresponding biometric technologies. The relative importance of each object was evaluated using the analytic hierarchy process. The weight of each object was adjusted separately to construct evaluating scenarios by sensitivity analysis. The results show that fingerprint recognition, iris recognition and palm print recognition are three biometric technologies that could meet the three objects requirements at the same time.
Evaluating and selecting the biometrics in network security
(2015-03-25)
Liu, Che-Hung
;
Wang, Jen-Sheng
;
Peng, Chih-Chiang
;
Shyu, Joseph Z.
;
科技管理研究所
Since Apple merged with AuthenTec, a leading fingerprint recognition company, in 2012, biometrics has widely been considered to strengthen security and privacy in the network security field. Although biometrics has been applied in specific areas for decades, it has gradually proliferated in customer and mobile electronic products to enhance security and privacy. This study aims to evaluate biometrics through conventional technology assessment considerations combined with viewpoints on the specifics of biometric technologies and then to provide suggestions for selection. To conduct the biometric technology assessment, the fuzzy analytic hierarchy process and non-fuzzy best performance approaches are used. Although the outcomes first indicate that technology assessment should be the key object in selecting biometric technologies, that object is followed by biometric competence and key elements of biometrics. The outcomes also indicate that features of the target technologies should be considered when evaluating them. Additionally, fingerprint recognition, iris recognition, and face recognition are the preferred biometrics in evaluation and selection. Copyright (c) 2014 John Wiley & Sons, Ltd.
How to Manage Information Security in Cloud Computing
(2011)
Wang, Jen-Sheng
;
Liu, Che-Hung
;
Lin, Grace T. R.
;
科技管理研究所
;
Institute of Management of Technology
The debut of the Cloud Computing generation has made information security managing a most significant and critical issue. However, the successful management of information security in cloud computing requires certain factors. This study aims to collect Key Success Factors (KSFs) that determine the management information security in cloud computing through literature review and design of a questionnaire survey. This comprises four major aspects: (1) External dimension, (2) Internal dimension, (3) Technology dimension, and (4) Execution dimension. Based on these, we proceed with categorization and analysis using Fuzzy Analytic Hierarchy Process (Fuzzy AHP or FAHP), which we applied in this study to overcome the seeming failure of general Analytical Hierarchy Process (AHP) in dealing with respondents' impersonal differences in paired comparison. The objectives under each aspect ranked in order from security function, system, organization, operation, market, legislation, human resource, to mechanism. The results sifted from the FAHP approach suggest six top key success factors: "Authentication", "Disclosure Preventing", "Encryption", "Service Model", "Interface", and "Customer". Different to conventional information security, security in cloud computing emphasizes more market-oriented factors.
The concepts of big data applied in personal knowledge management
(2017-01-01)
Liu, Che-Hung
;
Wang, Jen Sheng
;
Lin, Ching-Wei
;
交大名義發表
;
National Chiao Tung University
Purpose - The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM). Design/methodology/approach - Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM. Findings - This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM. Originality/value - While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM.