Since its birth in the early 90 's,digital forensics has been mainly focused on collecting and examining digital evidence from computers and networks that are controlled and owned by individuals or organizations.A...Since its birth in the early 90 's,digital forensics has been mainly focused on collecting and examining digital evidence from computers and networks that are controlled and owned by individuals or organizations.As cloud computing has recently emerged as a dominant platform for running applications and storing data,digital forensics faces well-known challenges in the cloud,such as data inaccessibility,data and service volatility,and law enforcement lacks control over the cloud.To date,very little research has been done to develop efficient theory and practice for digital forensics in the cloud.In this paper,we present a novel framework,Cloud Foren,which systematically addresses the challenges of forensics in cloud computing.Cloud Foren covers the entire process of digital forensics,from the initial point of complaint to the final point where the evidence is confirmed.The key components of Cloud Foren address some challenges,which are unique to the cloud.The proposed forensic process allows cloud forensic examiner,cloud provider,and cloud customer collaborate naturally.We use two case studies to demonstrate the applicability of Cloud Foren.We believe Cloud Foren holds great promise for more precise and automatic digital forensics in a cloud computing environment.展开更多
随着云计算的发展与普及,云计算环境下的安全问题日益突出.云取证技术作为事后追责与惩治技术手段,对维护云计算环境安全具有重大意义.云取证技术研究发展尚处于早期,云取证面临电子证据不完整、取证开销较大、取证过程智能化不足等难题...随着云计算的发展与普及,云计算环境下的安全问题日益突出.云取证技术作为事后追责与惩治技术手段,对维护云计算环境安全具有重大意义.云取证技术研究发展尚处于早期,云取证面临电子证据不完整、取证开销较大、取证过程智能化不足等难题.为缓解这些问题,提出一种基于软件定义安全(software defined security,SDS)和云取证趋势分析的智能云取证方法.首先,提出一种基于软件定义安全的云取证架构,实现云网络与云计算平台协同实时取证.其次,提出基于隐Markov模型的云取证趋势分析算法,实现云取证架构中的智能取证策略决策和智能取证资源调度.实验结果表明:相较于单独的网络取证与云计算平台取证,该方法取证能力提高至91.6%,而取证开销则介于两者之间.该方法对云服务商提供云取证服务具有广泛的借鉴意义.展开更多
文摘Since its birth in the early 90 's,digital forensics has been mainly focused on collecting and examining digital evidence from computers and networks that are controlled and owned by individuals or organizations.As cloud computing has recently emerged as a dominant platform for running applications and storing data,digital forensics faces well-known challenges in the cloud,such as data inaccessibility,data and service volatility,and law enforcement lacks control over the cloud.To date,very little research has been done to develop efficient theory and practice for digital forensics in the cloud.In this paper,we present a novel framework,Cloud Foren,which systematically addresses the challenges of forensics in cloud computing.Cloud Foren covers the entire process of digital forensics,from the initial point of complaint to the final point where the evidence is confirmed.The key components of Cloud Foren address some challenges,which are unique to the cloud.The proposed forensic process allows cloud forensic examiner,cloud provider,and cloud customer collaborate naturally.We use two case studies to demonstrate the applicability of Cloud Foren.We believe Cloud Foren holds great promise for more precise and automatic digital forensics in a cloud computing environment.
文摘随着云计算的发展与普及,云计算环境下的安全问题日益突出.云取证技术作为事后追责与惩治技术手段,对维护云计算环境安全具有重大意义.云取证技术研究发展尚处于早期,云取证面临电子证据不完整、取证开销较大、取证过程智能化不足等难题.为缓解这些问题,提出一种基于软件定义安全(software defined security,SDS)和云取证趋势分析的智能云取证方法.首先,提出一种基于软件定义安全的云取证架构,实现云网络与云计算平台协同实时取证.其次,提出基于隐Markov模型的云取证趋势分析算法,实现云取证架构中的智能取证策略决策和智能取证资源调度.实验结果表明:相较于单独的网络取证与云计算平台取证,该方法取证能力提高至91.6%,而取证开销则介于两者之间.该方法对云服务商提供云取证服务具有广泛的借鉴意义.
