Jianfeng Guan*, Jiawei Li, Zhongbai Jiang
Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 131-141, 2019, DOI:10.31209/2018.100000050
Abstract The traditional web anomaly detection systems face the challenges derived from the
constantly evolving of the web malicious attacks, which therefore result in high false
positive rate, poor adaptability, easy over-fitting, and high time complexity. Due to
these limitations, we need a new anomaly detection system to satisfy the
requirements of enterprise-level anomaly detection. There are lots of anomaly
detection systems designed for different application domains. However, as for web
anomaly detection, it has to describe the network accessing behaviours characters
from as many dimensions as possible to improve the performance. In this paper we
design and implement a Multidimensional… More >
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