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ORCID3rd MineNet@SIGMETRICS 2007: San Diego, California, USA
- Subhabrata Sen, Sambit Sahu:
Proceedings of the 3rd Annual ACM Workshop on Mining Network Data, MineNet 2007, San Diego, California, USA, June 12, 2007. ACM 2007, ISBN 978-1-59593-792-6
Security and anomaly detection
- Tsong Song Hwang, Tsung-Ju Lee, Yuh-Jye Lee
:
A three-tier IDS via data mining approach. 1-6 - Yu Jin, Zhi-Li Zhang, Kuai Xu, Feng Cao, Sambit Sahu:
Identifying and tracking suspicious activities through IP gray space analysis. 7-12 - Daniela Brauckhoff, Martin May, Bernhard Plattner:
Comparison of anomaly signal quality in common detection metrics. 13-16
Infrastructure and experience
- Michael J. Chapple, Nitesh V. Chawla, Aaron Striegel:
Authentication anomaly detection: a case study on a virtual private network. 17-22 - Péter Mátray, István Csabai, Péter Hága, József Stéger, László Dobos, Gábor Vattay:
Building a prototype for network measurement virtual observatory. 23-28
Traffic classification and monitoring
- Hamza Dahmouni, Sandrine Vaton, David Rossé:
A markovian signature-based approach to IP traffic classification. 29-34 - Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt:
Byte me: a case for byte accuracy in traffic classification. 35-38 - Hun-Jeong Kang, Zhi-Li Zhang, Supranamaya Ranjan, Antonio Nucci:
SIP-based VoIP traffic behavior profiling and its applications. 39-44 - Arup Acharya, Xiping Wang, Charles Wright, Nilanjan Banerjee, Bikram Sengupta:
Real-time monitoring of SIP infrastructure using message classification. 45-50
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