Adaptive network traffic classification using historical context

摘要: Adaptive network traffic classification using historical context. Network may be monitored and classified by considering several attributes packet filters, regular expressions, context-free grammars, rule sets, and/or protocol dissectors, among other means applying a variety of techniques such as signature matching statistical analysis. Unlike static systems, the decisions reexamined from time to or after subsequent processing determines that does not conform specification corresponding decision. Historical context used adjust strategy for similar related traffic.