کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4954573 | 1443891 | 2017 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Internet traffic classification based on expanding vector of flow
ترجمه فارسی عنوان
طبقه بندی ترافیک اینترنت بر اساس بردار گسترش جریان
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کلمات کلیدی
طبقه بندی ترافیک، رابطه جریان از دست دادن بسته موش جریان دارد
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
To reduce the number of packets used in categorizing flows, we propose a new traffic classification method by investigating the relationships between flows instead of considering them individually. Based on the flow identities, we introduce seven types of relationships for a flow and a further Expanding Vector (EV) by searching relevant flows in a particular time window. The proposed Traffic Classification method based on Expanding Vector (TCEV) does not require an inspection of the detailed flow properties, and thus, it can be conducted with a linear complexity of the flow number. The experiments performed on real-world traffic data verify that our method (1) attains as high a performance as the representative methods, while significantly reducing the number of processed packets; (2) is robust against packet loss and the absence of flow direction; and (3) is capable of reaching higher accuracy in the recognition of TCP mice flows.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Networks - Volume 129, Part 1, 24 December 2017, Pages 178-192
Journal: Computer Networks - Volume 129, Part 1, 24 December 2017, Pages 178-192
نویسندگان
Lei Ding, Jun Liu, Tao Qin, Haifei Li,