基于BP神经网络的动态取证方法研究

Xiai Yan
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引用次数: 3

摘要

针对目前计算机取证技术效率不足等问题,提出了一种基于BP神经网络的计算机动态取证方法。该方法结合了人工神经网络在模式识别方面的优点,能够及时、准确地识别网络攻击行为。在此基础上,设计了具有动态取证功能的原型系统。实验表明,该系统对网络不良行为具有较高的检测率,检测性能优于其他模式识别方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Dynamic Forensics Method Based on BP Neural Network
In view that the efficiency of computer forensics technology is insufficient and some other problems at present, a computer dynamic forensics method has been proposed based on BP neural network. This method has combined the advantages of artificial neural network in pattern recognition which can timely and accurately identify the network attack behaviors. On this basis, a prototype system with dynamic forensics has been designed. And the experiment has showed that this system has high detection rate for the network bad behaviors and the detection performance is superior to other pattern recognition methods.
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