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@article{1733718, author = {Jirsík, Tomáš and Velan, Petr}, article_number = {1}, doi = {http://dx.doi.org/10.1109/TNSM.2020.3036528}, keywords = {Stability analysis;Security;Labeling;Business;Tools;IP networks;Computer science;Network measurement;Host profiling;Netflow;Clustering;Temporal patterns}, language = {eng}, issn = {1932-4537}, journal = {IEEE Transactions on Network and Service Management}, title = {Host Behavior in Computer Network: One-Year Study}, url = {https://doi.org/10.1109/TNSM.2020.3036528}, volume = {18}, year = {2021} }
TY - JOUR ID - 1733718 AU - Jirsík, Tomáš - Velan, Petr PY - 2021 TI - Host Behavior in Computer Network: One-Year Study JF - IEEE Transactions on Network and Service Management VL - 18 IS - 1 SP - 822-838 EP - 822-838 SN - 19324537 KW - Stability analysis;Security;Labeling;Business;Tools;IP networks;Computer science;Network measurement;Host profiling;Netflow;Clustering;Temporal patterns UR - https://doi.org/10.1109/TNSM.2020.3036528 N2 - An analysis of a host behavior is an essential key for modern network management and security. A robust behavior profile enables the network managers to detect anomalies with high accuracy, predict the host behavior, or group host to clusters for better management. Hence, host profiling methods attract the interest of many researchers, and novel methods for host profiling are being introduced. However, these methods are frequently developed on preprocessed and small datasets. Therefore, they do not reflect the real-world artifacts of the host profiling, such as missing observations, temporal patterns, or variability in the profile characteristics in time. To provide the needed insight into the artifacts of host profiling in real-world settings, we present a study of the host behavior in a network conducted on a one-year-long real-world network dataset. In the study, we inspect the availability of the data for host profiling, identify the temporal patterns in host behavior, introduce a method for stable labeling of the hosts, and assess the variability of the host characteristics in the course of the year using the coefficient of variance. Moreover, we make the one-year dataset containing nine characteristics used for host behavior analysis available for public use and further research, including selected use cases representing host profiling caveats. We also share the record of analyses presented in the paper. ER -
JIRSÍK, Tomáš and Petr VELAN. Host Behavior in Computer Network: One-Year Study. \textit{IEEE Transactions on Network and Service Management}. 2021, vol.~18, No~1, p.~822-838. ISSN~1932-4537. Available from: https://dx.doi.org/10.1109/TNSM.2020.3036528.
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