作者
Bruno Augusti Mozzaquatro, Renato Preigschadt de Azevedo, Raul Ceretta Nunes, Alice de Jesus Kozakevicius, Cristian Cappo, Christian Schaerer
发表日期
2011/12/20
期刊
Journal of Applied Computing Research
卷号
1
期号
2
页码范围
111-120
简介
The widespread use of the Internet comes accompanied with severe threats for web applications security. Intrusion Detection Systems (IDS) have been considered to deal with the diversity and complexity of web attacks. In this context, this work proposes an algorithm for web attack detection, exploring an anomaly-based technique: the wavelet transform. The proposed algorithm analyzes anomalies within variations on characters frequencies in web requests. Experimental results show high rates of detection without false positive occurrences.
学术搜索中的文章
BA Mozzaquatro, RP de Azevedo, RC Nunes… - Journal of Applied Computing Research, 2011