Recent Granular Computing Implementations and its Feasibility in Cybersecurity Domain
作者： Marek Pawlicki , Michał Choraś , Rafał Kozik
关键词:
摘要: As the importance of data stored in daily-use information system grows, so does damage a malicious user could inflict. Network traffic can be notoriously complicated and prone to fluctuations. With prevailing risk cybersecurity breaches, improving detection algorithms is utmost importance. Advanced systems using various facets artificial intelligence machine learning exist. We look forward Granular Computing (GrC) as novel, promising way improve network classification, intrusion reduction computational cost real time analysis. In this paper, aquick primer on granular computing offered, its properties abstracting into meaningful, compact packages named granules are looked into. The basic principles granule creation explained. Consecutively, survey most recent implementations presented, with analysis how certain aspects utilized solve particular real-world problems. multiple cases, techniques GrC allow for an increase efficiency calculating speed, better legibility improvements performance classifier granulated supplied to. examined approaches then taxonomised regard purpose granulation, aspect Computing.
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