کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
13429348 1842324 2020 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Data-driven software defined network attack detection : State-of-the-art and perspectives
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Data-driven software defined network attack detection : State-of-the-art and perspectives
چکیده انگلیسی
SDN (Software Defined Network) has emerged as a revolutionary technology in network, a substantial amount of researches have been dedicated to security of SDNs to support their various applications. The paper firstly analyzes State-of-the-Art of SDN security from data perspectives. Then some typical network attack detection (NAD) methods are surveyed, including machine learning based methods and statistical methods. After that, a novel tensor based network attack detection method named tensor principal component analysis (TPCA) is proposed to detect attacks. After surveying the last data-driven SDN frameworks, a tensor based big data-driven SDN attack detection framework is proposed for SDN security. In the end, a case study is illustrated to verify the effectiveness of the proposed framework.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 513, March 2020, Pages 65-83
نویسندگان
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