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Anomaly and malware detection using side channel analysis

机译:使用副渠道分析检测异常和恶意软件

摘要

The present disclosure describes systems and methods for detecting malware. More particularly, the system includes a monitoring device that monitors side-channel activity of a target device. The monitoring device that can work in conjunction with (or independently of) a cloud-based security analytics engine to perform anomaly detection and classification on the side-channel activity. For example, the monitoring device can calculate a first set of features that are then transmitted to the security analytics engine for anomaly detection and classification.
机译:本公开描述了用于检测恶意软件的系统和方法。更具体地,该系统包括监视设备,该监视设备监视目标设备的副信道活动。可以与基于云的安全分析引擎结合(或独立于此)工作以对侧信道活动执行异常检测和分类的监视设备。例如,监视设备可以计算第一组特征,然后将其传输到安全分析引擎以进行异常检测和分类。

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