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METHOD AND APPARATUS FOR DETECTING MALICIOUS SOFTWARE THROUGH CONTEXTUAL CONVICTIONS, GENERIC SIGNATURES AND MACHINE LEARNING TECHNIQUES
METHOD AND APPARATUS FOR DETECTING MALICIOUS SOFTWARE THROUGH CONTEXTUAL CONVICTIONS, GENERIC SIGNATURES AND MACHINE LEARNING TECHNIQUES
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机译:通过上下文对流,通用签名和机器学习技术检测恶意软件的方法和装置
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摘要
Novel methods, components, and systems that enhance traditional techniques for detecting malicious software are presented. More specifically, methods, components, and systems that use important contextual information from a client system (such as recent history of events on that system), machine learning techniques, the automated deployment of generic signatures, and combinations thereof, to detect malicious software. The disclosed invention provides a significant improvement with regard to automation compared to previous approaches.
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