Data security is a major cloud computing issue due to different usertransactions in the system. The evolution of cryptography and cryptographic analysis are regarded domains of current research. deoxyribo nucleic aci...Data security is a major cloud computing issue due to different usertransactions in the system. The evolution of cryptography and cryptographic analysis are regarded domains of current research. deoxyribo nucleic acid (DNA) cryptography makes use of DNA as a sensing platform, which is then manipulated usinga variety of molecular methods. Many security mechanisms including knowledgebased authentication, two-factor authentication, adaptive authentication, multifactorauthentication and single password authentication have been deployed. These cryptographic techniques have been developed to ensure confidentiality, but most ofthem are based on complex mathematical calculations and equations. In the proposed approach, a novel and unique Hybrid helix scuttle-deoxy ribo nucleic acids(HHS-DNA) encryption algorithm has been proposed which is inspired by DNAcryptography and Helix scuttle. The proposed HHS-DNA is a type of multifold binary version of DNA (MF-BDNA). The major role of this paper is to present a multifold HHS-DNA algorithm to encrypt the cloud data assuring more security with lesscomplexity. The experimentation is carried out and it reduces the encryption time,cipher text size, and improves throughput. When compared with previous techniques, there is a 45% improvement in throughput, 37% fast in encryption time,54.67% cipher text size. The relevant experimental results and foregoing analysisshow that this method is of good robustness, stability, and security.展开更多
In the present scenario of rapid growth in cloud computing models,several companies and users started to share their data on cloud servers.However,when the model is not completely trusted,the data owners face several ...In the present scenario of rapid growth in cloud computing models,several companies and users started to share their data on cloud servers.However,when the model is not completely trusted,the data owners face several security-related problems,such as user privacy breaches,data disclosure,data corruption,and so on,during the process of data outsourcing.For addressing and handling the security-related issues on Cloud,several models were proposed.With that concern,this paper develops a Privacy-Preserved Data Security Approach(PP-DSA)to provide the data security and data integrity for the out-sourcing data in Cloud Environment.Privacy preservation is ensured in this work with the Efficient Authentication Technique(EAT)using the Group Signature method that is applied with Third-Party Auditor(TPA).The role of the auditor is to secure the data and guarantee shared data integrity.Additionally,the Cloud Service Provider(CSP)and Data User(DU)can also be the attackers that are to be handled with the EAT.Here,the major objective of the work is to enhance cloud security and thereby,increase Quality of Service(QoS).The results are evaluated based on the model effectiveness,security,and reliability and show that the proposed model provides better results than existing works.展开更多
Many businesses have experienced difficulties in selecting a cloud service provider(CSP)due to the rapid advancement of cloud computing services and the proliferation of CSPs.Many independent criteria should be consid...Many businesses have experienced difficulties in selecting a cloud service provider(CSP)due to the rapid advancement of cloud computing services and the proliferation of CSPs.Many independent criteria should be considered when evaluating the services provided by different CSPs.It is a case of multi-criteria decision-making(MCDM).This paper presents an integrated MCDM cloud service selection framework for determining the most appropriate service provider based on the best only method(BOM)and technique for order of preference by similarity to ideal solution(TOPSIS).To obtain the weights of criteria and the relative importance of CSPs based on each criterion,BOM performs pairwise comparisons of criteria and also for alternatives on each criterion,and TOPSIS uses these weights to rank cloud alternatives.An evaluation and validation of the proposed framework have been carried out through a use-case model to prove its efficiency and accuracy.Moreover,the developed framework was compared with the analytical hierarchical process(AHP),a popular MCDM approach,based on two perspectives:efficiency and consistency.According to the research results,the proposed framework only requires 25%of the comparisons needed for the AHP approach.Furthermore,the proposed framework has a CR of 0%,whereas AHP has 38%.Thus,the proposed framework performs better than AHPwhen it comes to computation complexity and consistency,implying that it is more efficient and trustworthy.展开更多
客户企业在实施SaaS（软件即服务，SoftwareasaService）云外包时，面临因效率参数不可观测所引发的云服务提供商（Cloud Service Provider，CSP）道德风险问题。针对该问题，以激励机制设计方法为基础，以客户企业期望收益最大化为目...客户企业在实施SaaS（软件即服务，SoftwareasaService）云外包时，面临因效率参数不可观测所引发的云服务提供商（Cloud Service Provider，CSP）道德风险问题。针对该问题，以激励机制设计方法为基础，以客户企业期望收益最大化为目标，在服务产出为公共信息，而效率参数信息为CSP私人信息下研究如何通过外包合约的设计诱使CSP显示出真实的信息，并付出最优的努力水平。研究表明，最优努力水平、服务报酬支付是效率参数的减函数；客户企业向CSP提供的最优合约可以用线性合约表示；在由固定服务报酬及收益共享构成的线性合约中，效率参数与固定服务报酬支付正相关，与收益共享系数负相关。展开更多
客户企业在实施SaaS云外包时,面临因云服务提供商(Cloud Service Provider,CSP)效率参数及努力水平不可观测所引发的隐藏信息道德风险问题。针对该问题,在考虑服务投资影响效率参数分布情况下,以客户企业期望收入最大化为目标,基于委托...客户企业在实施SaaS云外包时,面临因云服务提供商(Cloud Service Provider,CSP)效率参数及努力水平不可观测所引发的隐藏信息道德风险问题。针对该问题,在考虑服务投资影响效率参数分布情况下,以客户企业期望收入最大化为目标,基于委托—代理理论设计了SaaS云外包激励机制,并对机制性质及激励效果进行了分析。研究表明,激励相容性的自我实施条件由服务生产结束后CSP所获得的边际效用、付出努力的边际负效用及客户企业的边际收益决定;最优努力水平是效率参数的减函数;服务投资与效率参数进一步改进的条件概率间存在一定的相关关系;最优激励机制可由固定服务报酬及收益共享构成的线性合约表示。展开更多
客户企业在实施SaaS云外包时,面临因云服务提供商(cloud service provider,CSP)成本结构信息不完全所带来的风险。针对CSP成本结构中服务质量可验证,而效率参数不可观测所引发的不完全信息问题,以客户企业期望收益最大化为目标,设计外...客户企业在实施SaaS云外包时,面临因云服务提供商(cloud service provider,CSP)成本结构信息不完全所带来的风险。针对CSP成本结构中服务质量可验证,而效率参数不可观测所引发的不完全信息问题,以客户企业期望收益最大化为目标,设计外包合约激励CSP显示真实成本结构信息,提供最优服务质量及努力水平,并与完全信息下的外包合约激励效果进行比较分析。研究表明,客户企业在设计外包合约时,效率参数较高情况下,可忽略CSP的激励相容约束,反之参与约束;效率参数较高时CSP的边际成本不低于效率参数较低时CSP的边际成本,其服务质量不高于效率参数较低时CSP提供的服务质量;效率参数较高时,不完全信息下CSP提供的最优努力水平、服务质量,以及所获得的服务报酬均不高于完全信息下的取值;效率参数较低时,CSP提供的服务质量及努力水平与完全信息下相同,客户企业向CSP支付的服务报酬不低于完全信息下的服务报酬。展开更多
文摘Data security is a major cloud computing issue due to different usertransactions in the system. The evolution of cryptography and cryptographic analysis are regarded domains of current research. deoxyribo nucleic acid (DNA) cryptography makes use of DNA as a sensing platform, which is then manipulated usinga variety of molecular methods. Many security mechanisms including knowledgebased authentication, two-factor authentication, adaptive authentication, multifactorauthentication and single password authentication have been deployed. These cryptographic techniques have been developed to ensure confidentiality, but most ofthem are based on complex mathematical calculations and equations. In the proposed approach, a novel and unique Hybrid helix scuttle-deoxy ribo nucleic acids(HHS-DNA) encryption algorithm has been proposed which is inspired by DNAcryptography and Helix scuttle. The proposed HHS-DNA is a type of multifold binary version of DNA (MF-BDNA). The major role of this paper is to present a multifold HHS-DNA algorithm to encrypt the cloud data assuring more security with lesscomplexity. The experimentation is carried out and it reduces the encryption time,cipher text size, and improves throughput. When compared with previous techniques, there is a 45% improvement in throughput, 37% fast in encryption time,54.67% cipher text size. The relevant experimental results and foregoing analysisshow that this method is of good robustness, stability, and security.
文摘In the present scenario of rapid growth in cloud computing models,several companies and users started to share their data on cloud servers.However,when the model is not completely trusted,the data owners face several security-related problems,such as user privacy breaches,data disclosure,data corruption,and so on,during the process of data outsourcing.For addressing and handling the security-related issues on Cloud,several models were proposed.With that concern,this paper develops a Privacy-Preserved Data Security Approach(PP-DSA)to provide the data security and data integrity for the out-sourcing data in Cloud Environment.Privacy preservation is ensured in this work with the Efficient Authentication Technique(EAT)using the Group Signature method that is applied with Third-Party Auditor(TPA).The role of the auditor is to secure the data and guarantee shared data integrity.Additionally,the Cloud Service Provider(CSP)and Data User(DU)can also be the attackers that are to be handled with the EAT.Here,the major objective of the work is to enhance cloud security and thereby,increase Quality of Service(QoS).The results are evaluated based on the model effectiveness,security,and reliability and show that the proposed model provides better results than existing works.
文摘Many businesses have experienced difficulties in selecting a cloud service provider(CSP)due to the rapid advancement of cloud computing services and the proliferation of CSPs.Many independent criteria should be considered when evaluating the services provided by different CSPs.It is a case of multi-criteria decision-making(MCDM).This paper presents an integrated MCDM cloud service selection framework for determining the most appropriate service provider based on the best only method(BOM)and technique for order of preference by similarity to ideal solution(TOPSIS).To obtain the weights of criteria and the relative importance of CSPs based on each criterion,BOM performs pairwise comparisons of criteria and also for alternatives on each criterion,and TOPSIS uses these weights to rank cloud alternatives.An evaluation and validation of the proposed framework have been carried out through a use-case model to prove its efficiency and accuracy.Moreover,the developed framework was compared with the analytical hierarchical process(AHP),a popular MCDM approach,based on two perspectives:efficiency and consistency.According to the research results,the proposed framework only requires 25%of the comparisons needed for the AHP approach.Furthermore,the proposed framework has a CR of 0%,whereas AHP has 38%.Thus,the proposed framework performs better than AHPwhen it comes to computation complexity and consistency,implying that it is more efficient and trustworthy.
文摘客户企业在实施SaaS（软件即服务，SoftwareasaService）云外包时，面临因效率参数不可观测所引发的云服务提供商（Cloud Service Provider，CSP）道德风险问题。针对该问题，以激励机制设计方法为基础，以客户企业期望收益最大化为目标，在服务产出为公共信息，而效率参数信息为CSP私人信息下研究如何通过外包合约的设计诱使CSP显示出真实的信息，并付出最优的努力水平。研究表明，最优努力水平、服务报酬支付是效率参数的减函数；客户企业向CSP提供的最优合约可以用线性合约表示；在由固定服务报酬及收益共享构成的线性合约中，效率参数与固定服务报酬支付正相关，与收益共享系数负相关。
文摘客户企业在实施SaaS云外包时,面临因云服务提供商(Cloud Service Provider,CSP)效率参数及努力水平不可观测所引发的隐藏信息道德风险问题。针对该问题,在考虑服务投资影响效率参数分布情况下,以客户企业期望收入最大化为目标,基于委托—代理理论设计了SaaS云外包激励机制,并对机制性质及激励效果进行了分析。研究表明,激励相容性的自我实施条件由服务生产结束后CSP所获得的边际效用、付出努力的边际负效用及客户企业的边际收益决定;最优努力水平是效率参数的减函数;服务投资与效率参数进一步改进的条件概率间存在一定的相关关系;最优激励机制可由固定服务报酬及收益共享构成的线性合约表示。
文摘客户企业在实施SaaS云外包时,面临因云服务提供商(cloud service provider,CSP)成本结构信息不完全所带来的风险。针对CSP成本结构中服务质量可验证,而效率参数不可观测所引发的不完全信息问题,以客户企业期望收益最大化为目标,设计外包合约激励CSP显示真实成本结构信息,提供最优服务质量及努力水平,并与完全信息下的外包合约激励效果进行比较分析。研究表明,客户企业在设计外包合约时,效率参数较高情况下,可忽略CSP的激励相容约束,反之参与约束;效率参数较高时CSP的边际成本不低于效率参数较低时CSP的边际成本,其服务质量不高于效率参数较低时CSP提供的服务质量;效率参数较高时,不完全信息下CSP提供的最优努力水平、服务质量,以及所获得的服务报酬均不高于完全信息下的取值;效率参数较低时,CSP提供的服务质量及努力水平与完全信息下相同,客户企业向CSP支付的服务报酬不低于完全信息下的服务报酬。
