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System and method for identifying phishing cyber-attacks through deep machine learning via a convolutional neural network (CNN) engine
System and method for identifying phishing cyber-attacks through deep machine learning via a convolutional neural network (CNN) engine
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机译:通过卷积神经网络(CNN)引擎通过深度机器学习识别网络钓鱼网络攻击的系统和方法
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摘要
The presently disclosed subject matter includes a system for the detection of phishing cyber-attacks based on an application of deep machine learning techniques including the implementation of a deep convolutional neural network to determine whether a web element associated with a uniform resource locator is part of a phishing cyber-attack. The system produces a notification indicative of the phishing cyber-attack when a positive match between the uniform resource locator and the phishing cyber-attack is determined. The convolutional neural network is retrained at periodic time intervals with new datasets retrieved by an automated dataset collector and thus, improves the detection of zero-days cyber-attacks.
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