Linguistic summarization of network traffic flows Export

@inproceedings{pouzols:summarization, abstract = {We address, by means of fuzzy linguistic summaries, two related problems: summarizing network flow statistics and making these statistics human-readable. Two complementary summarization methods are developed. First, a fixed set of protoforms of interest is defined, and the ones with a higher truth value are shown to the user as simple on-line summaries. This first method is suitable for real-time monitoring. Then, an association rules mining process is carried out in order to find hidden relations in flow records. Both approaches are implemented in a tool capable of real-time and off-line processing of network flow records. Experimental results for a number of heterogeneous NetFlow records show the usefulness of linguistic summaries to both network practitioners and users.}, author = {Pouzols, F. M. and Barriga, A. and Lopez, D. R. and Solano, Sanchez S.}, booktitle = {Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on}, citeulike-article-id = {5248729}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/FUZZY.2008.4630433}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4630433}, doi = {10.1109/FUZZY.2008.4630433}, journal = {Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on}, keywords = {analysis, crawdad, dartmouth\_campus, measurement}, pages = {619--624}, posted-at = {2009-07-24 09:16:30}, priority = {2}, title = {Linguistic summarization of network traffic flows}, url = {http://dx.doi.org/10.1109/FUZZY.2008.4630433}, year = {2008} }

TY - CONF ID - pouzols:summarization L3 - citeulike-article-id:5248729 N2 - We address, by means of fuzzy linguistic summaries, two related problems: summarizing network flow statistics and making these statistics human-readable. Two complementary summarization methods are developed. First, a fixed set of protoforms of interest is defined, and the ones with a higher truth value are shown to the user as simple on-line summaries. This first method is suitable for real-time monitoring. Then, an association rules mining process is carried out in order to find hidden relations in flow records. Both approaches are implemented in a tool capable of real-time and off-line processing of network flow records. Experimental results for a number of heterogeneous NetFlow records show the usefulness of linguistic summaries to both network practitioners and users. JF - Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on EP - 624 TI - Linguistic summarization of network traffic flows T2 - Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on SP - 619 KW - analysis KW - crawdad KW - dartmouth_campus KW - measurement AU - Pouzols, FM AU - Barriga, A AU - Lopez, DR AU - Solano, Sanchez PY - 2008/// UR - http://dx.doi.org/10.1109/FUZZY.2008.4630433 ER -