一线希望:在云边缘加强安全信息流

S. Khan, Kevin W. Hamlen, Murat Kantarcioglu
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引用次数: 18

摘要

SilverLine是一个新颖的、特别模块化的框架,通过利用面向方面编程(AOP)和内联引用监视器(irm),为商品、数据处理、平台即服务云上的Java计算执行强制信息流策略。传统的系统级方法通常需要修改云内核软件、操作系统/管理程序、VM或云文件系统,而SilverLine不同,它在安全信息流跟踪代码到达云时自动内联到不受信任的Java二进制文件中。这有助于有效地实施大量灵活的信息流和强制访问控制策略,而无需对云或其底层基础设施进行任何定制。因此,云和实施框架可以完全独立地、垂直地(即模块化地)维护。为了证明该方法的可行性,在一个真实的数据处理云——hadoop MapReduce上实现了一个原型并部署了SilverLine。评估结果表明,SilverLine为Hadoop云提供了进程间信息流安全,易于维护(通过模块化),开销低。
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Silver Lining: Enforcing Secure Information Flow at the Cloud Edge
SilverLine is a novel, exceptionally modular framework for enforcing mandatory information flow policies for Java computations on commodity, data-processing, Platform-as-a-Service clouds by leveraging Aspect-Oriented Programming (AOP) and In-lined Reference Monitors (IRMs). Unlike traditional system-level approaches, which typically require modifications to the cloud kernel software, OS/hypervisor, VM, or cloud file system, SilverLine automatically in-lines secure information flow tracking code into untrusted Java binaries as they arrive at the cloud. This facilitates efficient enforcement of a large, flexible class of information flow and mandatory access control policies without any customization of the cloud or its underlying infrastructure. The cloud and the enforcement framework can therefore be maintained completely separately and orthogonally (i.e., modularly). To demonstrate the approach's feasibility, a prototype implements and deploys SilverLine on a real-world data processing cloud-Hadoop MapReduce. Evaluation results demonstrate that SilverLine provides inter-process information flow security for Hadoop clouds with easy maintainability (through modularity) and low overhead.
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