Neptune attack and Flash Crowd are two typical threats to web servers. These two anomalies have many identical features that make them difficult to distinguish. In this paper, we propose a statistical packet-based method to detect Neptune attacks and Flash Crowds and more importantly, by performing separate analysis by source address aggregation, we also propose additional efficient means to differentiate these two similar anomalies. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
The, Q. L., Zhanikeev, M., & Tanaka, Y. (2007). Detection and identification of neptune attacks and flash crowds. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4773 LNCS, pp. 571–574). https://doi.org/10.1007/978-3-540-75476-3_68
Mendeley helps you to discover research relevant for your work.