This paper proposes a semantics-based framework of malware detection for detecting whether a program is a variation of the malware.

最后，通过一个实现了该框架的原型系统来说明基于语义的恶意软件判定器框架的可行性。

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Malware detection techniques can be divided into host-based and network-based, this paper mainly focuses on studies of host-based deep hidden Trojan detection techniques.

恶意代码的检测技术主要分为基于主机的和基于网络节点的检测，本文主要研究针对基于主机的高隐藏性木马的检测技术。

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