This paper presents an innovative Soft Design Science Methodology for improving information systems security using multi-layered security approach. The study applied Soft Design Science Methodology to address the prob...This paper presents an innovative Soft Design Science Methodology for improving information systems security using multi-layered security approach. The study applied Soft Design Science Methodology to address the problematic situation on how information systems security can be improved. In addition, Soft Design Science Methodology was compounded with mixed research methodology. This holistic approach helped for research methodology triangulation. The study assessed security requirements and developed a framework for improving information systems security. The study carried out maturity level assessment to determine security status quo in the education sector in Tanzania. The study identified security requirements gap (IT security controls, IT security measures) using ISO/IEC 21827: Systems Security Engineering-Capability Maturity Model (SSE-CMM) with a rating scale of 0 - 5. The results of this study show that maturity level across security domain is 0.44 out of 5. The finding shows that the implementation of IT security controls and security measures for ensuring security goals are lacking or conducted in ad-hoc. Thus, for improving the security of information systems, organisations should implement security controls and security measures in each security domain (multi-layer security). This research provides a framework for enhancing information systems security during capturing, processing, storage and transmission of information. This research has several practical contributions. Firstly, it contributes to the body of knowledge of information systems security by providing a set of security requirements for ensuring information systems security. Secondly, it contributes empirical evidence on how information systems security can be improved. Thirdly, it contributes on the applicability of Soft Design Science Methodology on addressing the problematic situation in information systems security. The research findings can be used by decision makers and lawmakers to improve existing cyber security laws, and enact laws for data privacy and sharing of open data.展开更多
A soft,rough set model is a distinctive mathematical model that can be used to relate a variety of real-life data.In the present work,we introduce new concepts of rough set based on soft pre-lower and soft pre-upper a...A soft,rough set model is a distinctive mathematical model that can be used to relate a variety of real-life data.In the present work,we introduce new concepts of rough set based on soft pre-lower and soft pre-upper approximation space.These concepts are soft pre-rough equality,soft pre-rough inclusion,soft pre-rough belonging,soft predefinability,soft pre-internal lower,and soft pre-external lower.We study the properties of these concepts.Finally,we use the soft pre-rough approximation to illustrate the importance of our method in decision-making for Chikungunya medical illnesses.In reality,the impact factors of Chikungunya’s medical infection were determined.Moreover,we develop two new algorithms to address Chikungunya virus issues.Our proposed approach is sensible and effective.展开更多
针对生物软措施的力学固土护坡作用进行了力学机制方面的探讨,提出植物根系网固土力学机制模式的四个层次,以及对不同草本植物根系的固土性能进行了力学试验比较。结果表明不同植物根系具有不同的抗拉强度。香根草根系平均抗拉强度最大...针对生物软措施的力学固土护坡作用进行了力学机制方面的探讨,提出植物根系网固土力学机制模式的四个层次,以及对不同草本植物根系的固土性能进行了力学试验比较。结果表明不同植物根系具有不同的抗拉强度。香根草根系平均抗拉强度最大达85 m Pa,其次为假俭草,平均抗拉强度27.3 m Pa,白三叶根系平均抗拉强度为24.6 m Pa,莎草根系平均抗拉强度为24.5 m Pa,宜安草根系平均抗拉强度为19.7 m Pa,百喜草根系平均抗拉强度为19.23 m Pa,马尼拉草根系平均抗拉强度为17.5 m Pa,狗牙根根系平均抗拉强度为13.45 m Pa。不同的植物根系具有不同的抗拉强度、不同的固土性能与其遗传结构及其组织材料不同有关。充分了解和认识植物根系固土性能,科学合理运用生物软措施代替或部分代替工程措施在我国繁重的生态环境保护和恢复的基本建设工程项目中具有重要的应用价值和意义。展开更多
文摘This paper presents an innovative Soft Design Science Methodology for improving information systems security using multi-layered security approach. The study applied Soft Design Science Methodology to address the problematic situation on how information systems security can be improved. In addition, Soft Design Science Methodology was compounded with mixed research methodology. This holistic approach helped for research methodology triangulation. The study assessed security requirements and developed a framework for improving information systems security. The study carried out maturity level assessment to determine security status quo in the education sector in Tanzania. The study identified security requirements gap (IT security controls, IT security measures) using ISO/IEC 21827: Systems Security Engineering-Capability Maturity Model (SSE-CMM) with a rating scale of 0 - 5. The results of this study show that maturity level across security domain is 0.44 out of 5. The finding shows that the implementation of IT security controls and security measures for ensuring security goals are lacking or conducted in ad-hoc. Thus, for improving the security of information systems, organisations should implement security controls and security measures in each security domain (multi-layer security). This research provides a framework for enhancing information systems security during capturing, processing, storage and transmission of information. This research has several practical contributions. Firstly, it contributes to the body of knowledge of information systems security by providing a set of security requirements for ensuring information systems security. Secondly, it contributes empirical evidence on how information systems security can be improved. Thirdly, it contributes on the applicability of Soft Design Science Methodology on addressing the problematic situation in information systems security. The research findings can be used by decision makers and lawmakers to improve existing cyber security laws, and enact laws for data privacy and sharing of open data.
基金supported by the Deanship of the Scientific Research at Najran University,Najran,Saudi Arabia[NU/-/SERC/10/603].
文摘A soft,rough set model is a distinctive mathematical model that can be used to relate a variety of real-life data.In the present work,we introduce new concepts of rough set based on soft pre-lower and soft pre-upper approximation space.These concepts are soft pre-rough equality,soft pre-rough inclusion,soft pre-rough belonging,soft predefinability,soft pre-internal lower,and soft pre-external lower.We study the properties of these concepts.Finally,we use the soft pre-rough approximation to illustrate the importance of our method in decision-making for Chikungunya medical illnesses.In reality,the impact factors of Chikungunya’s medical infection were determined.Moreover,we develop two new algorithms to address Chikungunya virus issues.Our proposed approach is sensible and effective.
文摘针对生物软措施的力学固土护坡作用进行了力学机制方面的探讨,提出植物根系网固土力学机制模式的四个层次,以及对不同草本植物根系的固土性能进行了力学试验比较。结果表明不同植物根系具有不同的抗拉强度。香根草根系平均抗拉强度最大达85 m Pa,其次为假俭草,平均抗拉强度27.3 m Pa,白三叶根系平均抗拉强度为24.6 m Pa,莎草根系平均抗拉强度为24.5 m Pa,宜安草根系平均抗拉强度为19.7 m Pa,百喜草根系平均抗拉强度为19.23 m Pa,马尼拉草根系平均抗拉强度为17.5 m Pa,狗牙根根系平均抗拉强度为13.45 m Pa。不同的植物根系具有不同的抗拉强度、不同的固土性能与其遗传结构及其组织材料不同有关。充分了解和认识植物根系固土性能,科学合理运用生物软措施代替或部分代替工程措施在我国繁重的生态环境保护和恢复的基本建设工程项目中具有重要的应用价值和意义。
