The Rough Set Analysis for Malicious Web Campaigns Identification
作者： Michał Kruczkowski , Mirosław Miciak
DOI: 10.1007/978-3-030-03658-4_25
关键词:
摘要: The malware (malicious software) identification has to be supported by a comprehensive and extensive analysis of data from the Internet, it is hot topic nowadays. Data mining methods are commonly used techniques for malicious software. Multi-source multi-layered nature propagation assumes utilization heterogeneous sources, i.e., taken various databases collecting samples multiple layers network ISO/OSI reference model. Unfortunately, such multi-dimensional sets complex often impossible task. In this paper we investigate multi-dimensionality reduction approach based on rough set analysis.
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