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Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05)
Anomaly Detection for Network Servers Using Digital Signature of Network Segment
Lisbon, Portugal
July 17-July 22
ISBN: 0-7695-2388-9
| ASCII Text | x | ||
| Mario Lemes Proen?a Jr., Bruno B. Zarpel?, Leonardo S. Mendes, "Anomaly Detection for Network Servers Using Digital Signature of Network Segment," Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop, pp. 290-295, Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05), 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/AICT.2005.26, author = {Mario Lemes Proen?a Jr. and Bruno B. Zarpel? and Leonardo S. Mendes}, title = {Anomaly Detection for Network Servers Using Digital Signature of Network Segment}, journal ={Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop}, volume = {0}, year = {2005}, isbn = {0-7695-2388-9}, pages = {290-295}, doi = {http://doi.ieeecomputersociety.org/10.1109/AICT.2005.26}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop TI - Anomaly Detection for Network Servers Using Digital Signature of Network Segment SN - 0-7695-2388-9 SP290 EP295 A1 - Mario Lemes Proen?a Jr., A1 - Bruno B. Zarpel?, A1 - Leonardo S. Mendes, PY - 2005 KW - null VL - 0 JA - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AICT.2005.26
Network anomaly detection is essential for rapid fault recovery and increasing network reliability. This paper presents results of the utilization of digital signature of network segments (DSNS) for network servers to characterize the traffic that flow through the network servers. It?s also presented an alarm system model that use the network servers` traffic characterization generated by DSNS. The obtained results validate the experiment and show in practice significant advantages in networks management.
Citation:
Mario Lemes Proen?a Jr., Bruno B. Zarpel?, Leonardo S. Mendes, "Anomaly Detection for Network Servers Using Digital Signature of Network Segment," aict-sapir-elete, pp.290-295, Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05), 2005
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