面向可信计算的社会意识操作系统

Daniela Oliveira, D. Murthy, H. Johnson, S. F. Wu, R. Nia, J. Rowe
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引用次数: 2

摘要

基于区分可信和不可信的数据片段和程序行为的传统安全模型仍然难以跟上攻击者的复杂程度和独创性。在本文中,我们提出了一种新的可信计算范式,其应用程序、操作系统(OS)和体系结构可以利用社会信任来增强任何基于互联网的计算环境的安全机制的鲁棒性和多样性。我们的模型将允许在线社交网络(OSN)用户以一种隐私保护的方式为她的朋友分配信任值,并维护一个信任存储库,其中包含url、电子邮件地址、IP地址和其他可被社交感知的操作系统使用的数据块的信任值,从而允许细粒度的信任决策,考虑到用户上下文并增加主机行为的多样性。我们的模型还可以自动推断用户没有直接连接的人的信任值。在本文中,我们概述了社会感知操作系统内核的设计,并确定了这种新范式的几个研究挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Socially-Aware Operating System for Trustworthy Computing
Traditional security models based on distinguishing trusted from untrusted pieces of data and program behavior continue to face difficulties keeping up with attackers' levels of sophistication and ingenuity. In this position paper, we present a novel computing paradigm for trustworthy computing whose application, operating system (OS) and architecture can leverage social trust to enhance the robustness and diversity of security mechanisms of any Internet-based computing environment. Our model would allow online social network (OSN) users to assign trust values to her friends in a privacy-preserving fashion and maintain a trust repository with trust values for objects like URLs, email addresses, IP addresses and other pieces of data that can be consumed by a socially-aware OS, allowing for fine-grained trust decisions that take into account user context and add diversity to host behavior. Our model also automatically infer trust values for people a user is not directly connected. In this paper we sketch the design of a socially-aware operating system kernel and identify several research challenges for this new paradigm.
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