Title :
AnomBench: A Benchmark for Volume-Based Internet Anomaly Detection
Author :
Shanbhag, Shashank ; Wolf, Tilman
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Amherst, MA, USA
Abstract :
Developing algorithms to detect anomalies in network traffic is an important goal to achieve secure and efficient operation of the Internet. To evaluate different algorithms, it is crucial to have a set of standardized test cases. We propose a benchmark suite called "AnomBench" that consists of sixteen different traffic scenarios that contain various different traffic anomalies. We describe why these scenarios are representative and show the results of a prototype implementation on DETERlab.
Keywords :
Internet; security of data; telecommunication traffic; AnomBench; network traffic; volume-based Internet anomaly detection; Bandwidth; Benchmark testing; Detection algorithms; IP networks; Internet; Intrusion detection; Machine learning; Prototypes; Telecommunication traffic; Traffic control;
Conference_Titel :
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-4148-8
DOI :
10.1109/GLOCOM.2009.5426204
