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Defusing Intrusion Capabilities by Collaborative Anomalous Trust

机译:通过协作异常信任解除入侵功能

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From a computer security perspective, services provided by distributed information systems may be organized based on their security attributes goals and requirements; these processes and services are categorized as anonymous, registered, encrypted and trusted. In this research, we propose a solution for operational trust assurance problems where vulnerabilities reduction is implicitly observed. Collaborative Anomalous Trust Management (CATM) is a methodology that may be utilized for the purpose of affirming trust between communications endpoints. In conjunction with Trusted Computing Base, Zero Knowledge Protocol, and Layered Trust, CATM is defined. CATM builds its trust credentials based on computing environment variables. Ideally this methodology is suited for Service Oriented Architectures such as web services where service providers and consumers interact at different levels of security requirements. This methodology is best optimized for use as a risk management utility. In this approach vulnerabilities are implicitly reduced, hence intrusion capabilities are defused.
机译:从计算机安全透视中,可以根据其安全性属性的目标和要求组织分布式信息系统提供的服务;这些进程和服务被分类为匿名,注册,加密和可信赖。在这项研究中,我们提出了一种解决脆弱性忽视脆弱性的操作信任保证问题的解决方案。协作异常信任管理(CATM)是一种方法,可以用于肯定通信端点之间的信任。与可信计算基础相结合,定义了零知识协议和分层信任,catm。 CATM根据计算环境变量构建其信任凭据。理想情况下,这种方法非常适合面向服务的架构,例如服务提供商和消费者在不同级别的安全要求中交互的Web服务。该方法最适合用作风险管理实用程序。在这种方法中,漏洞被隐含地减少,因此入侵功能是守则。

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