کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10342413 | 696068 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detecting very large sets of referenced files at 40/100 GbE, especially MP4 files
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Detecting very large sets of referenced files at 40/100 GbE, especially MP4 files Detecting very large sets of referenced files at 40/100 GbE, especially MP4 files](/preview/png/10342413.png)
چکیده انگلیسی
Internet traffic monitoring is an increasingly challenging task because of the high bandwidths, especially at Internet Service Provider routers and/or Internet backbones. We propose a parallel implementation of the max-hashing algorithm that enables the detection of millions of referenced files by deep packet inspection over high bandwidth connections. We also propose a method to extract high-entropy signatures from MP4 files compatible with the max-hashing algorithm in order to have low false positive rates. The system first computes a set of fingerprints, which are small subsets of the referenced files a priori unique and easily identifiable. At detection time, the max-hashing algorithm eliminates the need to reconstruct the flows. A Graphics Processing Unit (GPU) card computes the fingerprints of all the IP packets in parallel and searches for hits in the onboard collection of fingerprints. Our application, dedicated to the detection of known MP4 video files, enables the detection of millions of fingerprints and demonstrates a sustained processing rate of 50Â Gbps per card. Furthermore, a null false positive rate was observed for our 28.25Â GB transfer test. The proposed implementation also features the detection of suspect flows based on IP addresses and ports in order to carry out deeper investigations off line.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Investigation - Volume 14, Supplement 1, August 2015, Pages S85-S94
Journal: Digital Investigation - Volume 14, Supplement 1, August 2015, Pages S85-S94
نویسندگان
A. Larbanet, J. Lerebours, J.P. David,