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首页> 外文期刊>International Journal of Computer Trends and Technology >Requirements to Build a System that Uses Machine Learning Based Approach for Analysis of Forensic Data
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Requirements to Build a System that Uses Machine Learning Based Approach for Analysis of Forensic Data

机译:建立使用基于机器学习的方法进行法证数据分析的系统的要求

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Cyber Forensic Investigation paradigm is laborious and requiressignificant expertise on the part of the investigators. Computer Intelligence and Cyber Forensics together is a match-winning integration for making investigation tasks easy, accurate and less laborious. This research paper focuses on the requirements to build a system that is automatic and highly efficient and assists in Forensic Investigations by binding Computer Intelligence and Machine Learning Technology to Computer Forensic Framework. It consists of building a Learning Model which learns efficiently from Data Sets through Intelligent Algorithms and various Learning Approaches. This training provided, intelligently classifies accordingly all the further inputs given from real time cyber-crime data. We will acquire the basic knowledge of how to develop such systems, which work on machine learning and help in forensic investigations
机译:网络法证调查范式很费力,并且要求调查员具备大量专业知识。 Computer Intelligence和Cyber​​ Forensics在一起是一项屡获殊荣的集成,可简化,准确且省力的调查任务。本研究论文着重于构建自动和高效的系统的要求,该系统通过将计算机智能和机器学习技术绑定到计算机取证框架来协助取证调查。它由构建学习模型组成,该模型通过智能算法和各种学习方法从数据集中高效学习。提供的培训对从实时网络犯罪数据给出的所有其他输入进行了相应的智能分类。我们将获得有关如何开发此类系统的基础知识,这些系统可用于机器学习并协助法医调查

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