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A Secure Cloud-Based IDPS Using Cryptographic Traces and Revocation Protocol

机译:使用加密迹线和撤销协议的基于安全云的IDP

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Cloud computing is a revolutionary information technology, that aims to provide reliable, customized and quality of service guaranteed environments, where virtualized and dynamic data are stored and shared among cloud users. Thanks to its significant benefits such as: on demand resources and low maintenance costs, cloud computing becomes a trend in the area of new technologies that facilitates communication and access to information. Despite the aforementioned facts, the distributed and open nature of this paradigm makes privacy and security of the stored resources a major challenge, that limits the use and agreement of cloud computing in practice. Among the strong security policies adopted to address this problem, there are Intrusion Detection and Prevention Systems (IDPS), that enable the cloud architecture to detect anomalies through monitoring the usage of stored resources, and then reacting prevent their expansion. In this paper, we propose a secure, reliable and flexible IDPS mainly based on autonomous mobile agents, that are associated with tracing and revocation protocol. While roaming among multiple cloud servers, our mobile agent is charged with executing requested tasks and collecting needed information. Thus, on each cloud server a "cryptographic trace" is produced in which all behaviors, results and data involved in the execution are recorded, which allow to identify any possible intrusions and hence predict a response to prevent them or end their processing, through using a server revocation technique based on trust threshold.
机译:云计算是一种革命性的信息技术,旨在提供可靠的,定制和质量的服务保证环境,其中虚拟化和动态数据存储在云用户之间和共享。由于其显着优势,例如:按需资源和低维护成本,云计算成为新技术领域的趋势,便于沟通和获取信息。尽管上述事实,但该范式的分布式和开放性质使存储资源的隐私和安全性成为一个主要挑战,这限制了云计算在实践中的使用和协议。在解决此问题的强大安全策略中,存在入侵检测和预防系统(IDP),使云体系结构能够通过监控存储资源的使用来检测异常,然后反应防止其扩展。在本文中,我们主要基于自动移动代理的安全,可靠和灵活的IDPS,其与跟踪和撤销协议相关联。在多个云服务器之间漫游时,我们的移动代理被指控执行请求的任务并收集所需的信息。因此,在每个云服务器上,生成“加密跟踪”,其中记录了执行中涉及的所有行为,结果和数据,这允许通过使用来识别任何可能的入侵,从而预测响应以防止它们或结束其处理,通过使用一种基于信任阈值的服务器撤销技术。

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