A signal analysis of network traffic anomalies Export

@misc{citeulike:436925, abstract = {Identifying anomalies rapidly and accurately is critical to the efficient operation of large computer networks. Accurately characterizing important classes of anomalies greatly facilitates their identification; however, the subtleties and complexities of anomalous traffic can easily confound this process. In this paper we report results of signal analysis of four classes of network traffic anomalies: outages, flash crowds, attacks and measurement failures. Data for this study consists of IP...}, author = {Barford, P. and Kline, J. and Plonka, D. and Ron, A.}, citeulike-article-id = {436925}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.2338}, keywords = {legacy-application, modeling, signal-processing, stats, traffic-modeling, wavelets}, posted-at = {2008-07-29 15:42:54}, priority = {0}, title = {A signal analysis of network traffic anomalies}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.2338}, year = {2002} }

TY - GEN ID - citeulike:436925 L3 - citeulike-article-id:436925 N2 - Identifying anomalies rapidly and accurately is critical to the efficient operation of large computer networks. Accurately characterizing important classes of anomalies greatly facilitates their identification; however, the subtleties and complexities of anomalous traffic can easily confound this process. In this paper we report results of signal analysis of four classes of network traffic anomalies: outages, flash crowds, attacks and measurement failures. Data for this study consists of IP... TI - A signal analysis of network traffic anomalies KW - legacy-application KW - modeling KW - signal-processing KW - stats KW - traffic-modeling KW - wavelets AU - Barford, P AU - Kline, J AU - Plonka, D AU - Ron, A PY - 2002/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.2338 ER -