Traffic Tunnel Management in Cloud-based Flow Security System

Ga-Jin He, Yuzhu Chen
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Abstract

Considering the increasingly serious problem of Internet security recently, Cloud-based Flow Security System(CFS) has been built as a solution to the Internet security application, providing convenient and effective application and content level security for enterprise users by means of cloud services. Under the CFS system, this paper developed custom function modules to achieve unified management of network nodes and GRE tunnel between the nodes, management of the switch data forwarding, and real-time monitoring of the state of the tunnel in the control platform, accomplished the design scheme of combining the load balancing algorithm with the unified management of the tunnel, realized the efficient allocation of the network nodes in the large-scale network environment and improved the network flexibility. Introduction With the development of cloud traffic, network security problem, especially information security problem, is becoming increasingly prominent, which has become one of the primary concerns for cloud application business users. More and more research institutions and network security companies focus on research and development on the security aspects of cloud services under such a circumstance. Cloud computing has a natural advantage in pooling information across the entire network and dealing with massive amounts of information. Chen [1] used the cloud computing feature to propose a collaborative management model for network security. Seeber proposed the idea of using SDN technology to enhance cloud security [2]. On the basis of these research, the rapid development of safety information and event management (SIEM) will lead to the dominance in service field. However, the security of the data transmission above the operating system, especially cloud-based applications, is still at the users’ own risk. After addressing the infrastructure security issues, at the application level, whether it is application management or content security, users are also faced with similar problems with fragmentation of previous solutions, and even no mature solution. Under the condition that the weak link in the current cloud service security solution, the paper aims at building a framework to improve, ameliorate the Internet security application environment, providing a convenient, effective application and content level security guarantee for enterprise users by means of cloud services. In the second chapter, the overall framework of the Cloud-based Flow Security System (CFS) was described in detail. This work focuses on the implementation of traffic into the security cloud platform. Under the SDN [3,4,5] architecture, the centralized management for the GRE tunnel [6,7] between the management platform and the user side probe was accomplished, including the establishment of tunnels, demolition and condition monitoring. In addition, with the expansion of the network size and the increase of network nodes, the time of packet transmission will be greatly increased, which increases the possibility of unexpected data transmission, such as link damage, tunnel congestion and so on. In this paper, the load balancing algorithm [8] is introduced in the SDN-based tunnel management, which can improve the overall performance of the cluster system, including its availability and scalability, by increasing its throughput under the SDN network.
基于云的流量安全系统中的流量隧道管理
考虑到近年来日益严重的互联网安全问题,基于云的流量安全系统(CFS)作为互联网安全应用的解决方案,通过云服务为企业用户提供便捷有效的应用级和内容级安全。本文在CFS系统下,开发定制功能模块,在控制平台上实现对网络节点和节点间GRE隧道的统一管理、交换机数据转发的管理、隧道状态的实时监控,完成了将负载均衡算法与隧道统一管理相结合的设计方案。实现了大规模网络环境下网络节点的高效分配,提高了网络的灵活性。随着云流量的发展,网络安全问题,特别是信息安全问题日益突出,已成为云应用业务用户首要关注的问题之一。在这样的环境下,越来越多的研究机构和网络安全公司开始关注云服务安全方面的研究和开发。云计算在整个网络上汇集信息和处理大量信息方面具有天然的优势。Chen[1]利用云计算的特点,提出了一种网络安全协同管理模型。Seeber提出了利用SDN技术增强云安全的想法[2]。在这些研究的基础上,安全信息与事件管理(SIEM)的快速发展将导致服务领域的主导地位。但是,操作系统之上的数据传输安全,尤其是基于云的应用,仍然需要用户自行承担风险。在解决了基础设施安全问题之后,在应用程序层面,无论是应用程序管理还是内容安全,用户也面临着类似的问题,而且以前的解决方案碎片化,甚至没有成熟的解决方案。针对当前云服务安全解决方案中的薄弱环节,本文旨在构建一个框架来完善、改善互联网安全应用环境,通过云服务为企业用户提供便捷、有效的应用级和内容级安全保障。第二章详细描述了基于云的流量安全系统(CFS)的总体框架。本工作的重点是实现流量进入安全云平台。在SDN[3,4,5]架构下,完成了管理平台与用户侧探头之间对GRE隧道[6,7]的集中管理,包括隧道的建立、拆除和状态监控。此外,随着网络规模的扩大和网络节点的增加,数据包传输的时间将大大增加,这就增加了意外数据传输的可能性,如链路损坏、隧道拥塞等。本文在基于SDN的隧道管理中引入了负载均衡算法[8],通过增加SDN网络下集群系统的吞吐量,提高集群系统的整体性能,包括可用性和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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