Using Existing Hardware Services for Malware Detection

Sarat Kompalli
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引用次数: 11

Abstract

The paper is divided into two sections. First, we describe our experiments in using hardware-based metrics such as those collected by the BPU and MMU for detection of malware activity at runtime. Second, we sketch a defense-in-depth security model that combines such detection with hardware-aided proof-carrying code and input validation.
使用现有硬件服务进行恶意软件检测
本文分为两部分。首先,我们描述了我们使用基于硬件的指标的实验,例如由BPU和MMU收集的用于在运行时检测恶意软件活动的指标。其次,我们概述了一个深度防御安全模型,该模型将这种检测与硬件辅助的携带证明的代码和输入验证相结合。
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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