کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6940740 | 1450018 | 2018 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Distributing extreme learning machines with Apache Spark for NetFlow-based malware activity detection
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
The Netflow protocol is often used for network auditing, analysis, and monitoring. However, it also can be successfully used as a reliable source of information for incidents detection and forensic purposes. In this paper, the method that combines NetFlows with Extreme Learning Machines (ELM) classifier trained in a distributed environment of Apache Spark framework is proposed. The main contribution of this research is an algorithm that leverages Map-Reduce programming model to scale and distribute a training process of an ELM classifier for a NetFlow-based malware activities detection. Results reported on a benchmark dataset show that the proposed ELM-based NetFlow analysis can be considered as a reliable tool for a network incidents detection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 101, 1 January 2018, Pages 14-20
Journal: Pattern Recognition Letters - Volume 101, 1 January 2018, Pages 14-20
نویسندگان
RafaÅ Kozik,