A hybrid KRR-ML approach to predict malicious email campaigns
作者： Mohammed Almukaynizi , Malay Shah , Paulo Shakarian
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摘要: Great success has been witnessed in the last few years for approaches combining Machine Learning (ML) with Knowledge Representation and Reasoning (KRR) to predict cybersecurity events. These benefited from high accuracy of ML, inherent transparency KRR. In this paper, we develop a multi-layered, hybrid system that benefits both approaches. When developed is fused an existing statistical forecasting model, it demonstrates average recall improvement more than 14% while maintaining precision.
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