سه شنبه 11 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
Distributing Extreme Learning Machines with Apache Spark for NetFlow-Based Malware Activity Detection |
| عنوان فارسی مقاله | توزیع دستگاه های آموزش افراطی با Spark Apache برای تروجان مبتنی بر NetFlow تشخیص فعالیت |
| مشخصات مقاله انگلیسی | |
| نشریه: Elsevier |
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| سال انتشار |
2017 |
| عنوان مجله |
Pattern Recognition Letters |
| تعداد صفحات مقاله انگلیسی | 8 |
| رفرنس | دارد |
| تعداد رفرنس | 29 |
| چکیده مقاله | |
| چکیده |
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 |
| کلمات کلیدی |
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| دانلود | |
