Accelerating the Deployment of Security Service Infrastructure with Collective Intelligence and Analytics

M. Vukovic, Chris Giblin, Sriram Rajagopal
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引用次数: 9

Abstract

With the increasing complexity of IT outsourcing environments thousands of servers and their configurations are increasingly managed by globally distributed teams. This requires a flexible identity access management process in place to efficiently provision necessary access rights for a given system, only if users need it, when they need it and for only as long as they need it. In this paper we present a novel approach to discovering required role permissions by integrating system data and enterprise crowd sourcing (a process where a group of experts solve problems through collaboration). By mining server registries, compliance repositories (such as user revalidation records), we derive a set of servers and the respective access rights for each team member. This data is then validated and updated by one or more team members using the principles of crowd sourcing. We show that this approach improves the role discovery process and accelerates the deployment of the security service infrastructure.
利用集体智能和分析加速安全服务基础设施的部署
随着IT外包环境日益复杂,数以千计的服务器及其配置越来越多地由全球分布的团队管理。这需要灵活的身份访问管理流程,以便仅在用户需要时、在需要时以及在需要时有效地为给定系统提供必要的访问权限。在本文中,我们提出了一种通过集成系统数据和企业众包(一组专家通过协作解决问题的过程)来发现所需角色权限的新方法。通过挖掘服务器注册中心、遵从性存储库(例如用户重新验证记录),我们为每个团队成员派生出一组服务器和各自的访问权限。然后,这些数据由一个或多个团队成员使用众包原则进行验证和更新。我们展示了这种方法改进了角色发现过程并加速了安全服务基础设施的部署。
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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