云安全面临的挑战及其解决策略

作为一种新型的商业计算模式,云计算的应用和推广会给用户带来巨大的经济效益,与此同时,传统的安全模式已不适用于云环境中,其面临的安全挑战错综复杂,需要技术、标准、监管、法律等各方面结合起来,多管齐下才能解决云计算的安全问题。     

云计算中的网络安全问题及对策研究

随着全球信息化时代的来临,信息技术已经取得空前的发展和广泛的应用,目前其已经渗透到了人类生活的各个环节。这其中,云计算的发展可谓异军突起,它将智能网络技术、3G无线网络技术、虚拟技术和资源调度等先进前沿技术进行了有机融合,使IT领域发生深刻的变革。云计算是IT领域朝着集约化、规模化和专业化方向发展的标志,是"网络就是计算机"思想的具体表现,有着巨大的发展前景和研究价值。但是在云计算提供前所未有的巨大效能的同时,其安全问题在技术、法律、监管方面都有着很多的漏洞,并且严重威胁我国网络用户的信息安全,可以说,对云计算安全性的研究是云计算发展的首要任务,其重要性和紧迫性已经刻不容缓。接下来笔者将基于云计算的安全模型和关键技术,并结合我国云计算的研究现状,对云计算的安全问题进行简单的分析。     

云计算在国土信息监管平台中的应用研究

随着云计算时代的到来,我国的国土信息监管平台的发展也迎来了新的机遇。本文就目前国土信息监管平台建设中存在的一些问题进行了研究,找到问题的症结所在。同时对这些问题进行了改进,建设了一个省级的国土信息监管云平台,取得了一定的效果,得到了将云计算技术融入到国土信息监管平台中的新思路。     

云计算在国土信息监管平台中的应用研究

随着云计算时代的到来,我国的国土信息监管平台的发展也迎来了新的机遇。本文就目前国土信息监管平台建设中存在的一些问题进行了研究,找到问题的症结所在。同时对这些问题进行了改进,建设了一个省级的国土信息监管云平台,取得了一定的效果,得到了将云计算技术融入到国土信息监管平台中的新思路。     

云计算服务持续监管研究

云计算环境的复杂性和动态性,难以及时掌握云计算服务安全运行状态、评估云计算服务风险。为确保云计算服务的安全能力持续符合国家相关标准要求,对云计算服务持续监管相关内容进行了研究,定义了云服务商、客户和持续监管方角色,明确各角色的监管责任、评估指标体系以及接口规范,确保政府部门、重点行业客户稳定且安全地使用云计算服务。     

基于云计算的煤矿监管服务平台研究

为了解决现有多级垂直监管模式中存在的平台重复建设、水平参差不齐、数据多级反复上传、层层过滤作假等问题,设计了一种基于云计算的煤矿监管服务平台。该平台以云计算相关技术为依托,采用统一的数据存储策略与处理机制,利用多网络传输与基本监控终端相结合,通过严格的权限管理与良好的扩展性,向各实体单位提供个性化服务,实现各级监管机构和地方监管部门与煤矿生产企业之间平行直接的监管模式。     

云计算面临的问题与应对策略研究

首先介绍了云计算的定义、特点和研究现状,然后从服务可靠性、标准制定、安全性、传输速率、信誉和法律危机等层面分析了云计算存在的问题,并提出了几点应对策略。     

云计算环境下的取证问题研究

云计算是一种基于互联网的超级计算模式,它的快速发展给取证带来了一定的挑战。在云计算环境下,取证活动包括证据发现、证据固定及证据提取3个阶段。但云计算自身存在的安全风险,导致云计算环境下的取证活动亦面临一定的技术及法律问题。对于取证信息及手段方面的问题,可以采取数据迁移技术及入侵检测系统等手段加以解决。对于相关的法律问题,则可以采取完善相关法律法规、强化国际区际合作等途径加以解决。     

云计算现状综述

基于互联网的云计算模式引起了人们极大的关注,也面临着越来越多的安全威胁。该文介绍了云计算的定义、特点以及它的体系结构,比较了与分布式计算、网格计算的区别,探析了云计算所面临的信息策略问题,包括隐私、安全性、匿名性、通信能力、政府的监管、可靠性、责任等,并对云计算信息策略问题进行了较为深入的探讨。     

云计算背景下的用户身份认证安全分析

作为计算机技术和互联网结合的重要产物内容,云计算已经开启了IT 界与信息领域的新一轮技术革命。然 而,云计算存在着许多风险问题,在目前的网络监管环境下依然还存在有许多漏洞性问题,对于网络用户的信息安全产生了巨 大的威胁,要想解决这一问题,开展云计算背景下的用户身份认证安全分析已经迫在眉睫,对此本文将就云计算的安全问题展 开具体的分析,并提出了一些具体的应对措施。     

The rise of “big data” on cloud computing: Review and open research issues

Cloud computing is a powerful technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Massive growth in the scale of data or big data generated through cloud computing has been observed. Addressing big data is a challenging and time-demanding task that requires a large computational infrastructure to ensure successful data processing and analysis. The rise of big data in cloud computing is reviewed in this study. The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The relationship between big data and cloud computing, big data storage systems, and Hadoop technology are also discussed. Furthermore, research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance. Lastly, open research issues that require substantial research efforts are summarized.     

Development of a Cloud Trust Label: A Delphi Approach

The purpose of this research is to identify the potential information components of an online, real-time trust label, which is proposed as a communication mechanism to encourage trust in cloud service providers and cloud computing products. An online Delphi process was used with 28 cloud computing experts (including vendors, software providers, and legal and business representatives). The proposed label contains 81 information components, covering the cloud service provider (e.g. physical location, legal jurisdiction), the cloud service itself (e.g. data location, security, backup, certification), and a historical service-level summary (e.g. uptime data, support response times). The potential benefits of such a label to encourage trustworthiness perceptions and trust behaviors in the cloud computing environment are explored. Limitations of the study are highlighted, and further research studies are suggested to test the concept of the label and to refine the components of the label itself.     

浅析云计算及其应用

云计算是一种创新的商业计算服务,云计算是将计算任务分配到云网平台中,为各种应用系统提供计算、存储以及各类软件服务。本文首先概述了云计算的定义和构成,并介绍了云计算的特点,最后探讨了云计算的应用问题。     

云计算技术的应用及发展趋势综述

云计算是当前信息产业的热点领域,具有广阔的应用前景。从定义、特征和模型3个方面,介绍了云计算的基本概念,对云计算的虚拟化、资源管理、安全性、分布式编程、数据存储等核心技术和云计算标准进行综述,并对分析主流的云计算技术应用及发展趋势进行分析。     

From cloud computing to cloud manufacturing

Cloud computing is changing the way industries and enterprises do their businesses in that dynamically scalable and virtualized resources are provided as a service over the Internet. This model creates a brand new opportunity for enterprises. In this paper, some of the essential features of cloud computing are briefly discussed with regard to the end-users, enterprises that use the cloud as a platform, and cloud providers themselves. Cloud computing is emerging as one of the major enablers for the manufacturing industry; it can transform the traditional manufacturing business model, help it to align product innovation with business strategy, and create intelligent factory networks that encourage effective collaboration. Two types of cloud computing adoptions in the manufacturing sector have been suggested, manufacturing with direct adoption of cloud computing technologies and cloud manufacturing—the manufacturing version of cloud computing. Cloud computing has been in some of key areas of manufacturing such as IT, pay-as-you-go business models, production scaling up and down per demand, and flexibility in deploying and customizing solutions. In cloud manufacturing, distributed resources are encapsulated into cloud services and managed in a centralized way. Clients can use cloud services according to their requirements. Cloud users can request services ranging from product design, manufacturing, testing, management, and all other stages of a product life cycle.     

Safeguarding Cloud Computing Infrastructure: A Security Analysis

Cloud computing is the provision of hosted resources, comprising software, hardware and processing over the World Wide Web. The advantages of rapid deployment, versatility, low expenses and scalability have led to the widespread use of cloud computing across organizations of all sizes, mostly as a component of the combination/multi-cloud infrastructure structure. While cloud storage offers significant benefits as well as cost-effective alternatives for IT management and expansion, new opportunities and challenges in the context of security vulnerabilities are emerging in this domain. Cloud security, also recognized as cloud computing security, refers to a collection of policies, regulations, systematic processes that function together to secure cloud infrastructure systems. These security procedures are designed to safeguard cloud data, to facilitate regulatory enforcement and to preserve the confidentiality of consumers, as well as to lay down encryption rules for specific devices and applications. This study presents an overview of the innovative cloud computing and security challenges that exist at different levels of cloud infrastructure. In this league, the present research work would be a significant contribution in reducing the security attacks on cloud computing so as to provide sustainable and secure services.     

Impact of a firm’s physical and knowledge capital intensities on its selection of a cloud computing deployment model

Cloud computing has become an increasingly common computing infrastructure for contemporary firms. An important decision for firms to make in adopting a cloud computing model is whether to build it in-house (a private cloud) or outsource it (a public cloud). Prior literature has focused on the impact of firms’ characteristics but generated inconsistent results regarding the selection of cloud computing models. To add to this line of inquiry, we consider the relative resource structure, which reflects the importance of physical and knowledge resources for individual firms, and examine their respective effects on the selection of cloud computing deployment models (CCDMs). Using data from 520 companies deploying cloud computing in mainland China, we find that firms with higher physical capital intensity (PCI) tend to outsource cloud computing, whereas those with higher knowledge capital intensity (KCI) tend to use private clouds. Firms with higher codified knowledge capital intensity (CKCI) are found to be more susceptible to the negative relationship between KCI and public cloud selection than those with higher tacit knowledge capital intensity (TKCI). The direct positive influence of regional legal protection on a firm’s preferences for a public cloud is also confirmed, as well as its indirect moderating effect on alleviating the negative relationships between CKCI and deploying a public cloud.     

云测试综述

针对云计算的定义及云计算的特点做出分析。认为云计算有着良好的发展趋势,并在次基础上展开对云测试的讨论。主要涉及云测试的特点、优点、应用现状,云测试平台以及云测试技术,并探讨云测试的对现有测试服务模式的影响及存在的缺陷,预测云测试的发展趋势。