Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event

The goal of the thesis is to propose an approach that can detect flash crowd attacks that target web servers during flash events. The proposed approach consists of four phases to achieve the goal of the research. The proposed approach is evaluated using three different datasets distributed in three...

全面介紹

Saved in:
書目詳細資料
主要作者: Al-Saleem, Samer Abdulsada Mutlag
格式: Thesis
語言:English
出版: 2017
主題:
在線閱讀:http://eprints.usm.my/47734/1/ANOMALY-BASED%20DETECTION%20APPROACH%20TO.pdf%20cut.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:The goal of the thesis is to propose an approach that can detect flash crowd attacks that target web servers during flash events. The proposed approach consists of four phases to achieve the goal of the research. The proposed approach is evaluated using three different datasets distributed in three scenarios. The first scenario is aimed to validate the detection accuracy of the proposed approach when a web server is in a normal situation (when there is no threat targeting the server). The second scenario (flash event dataset) is aimed to improve the accuracy of the proposed approach in detecting anomalous behaviour when the server is facing a flash event. The third scenario (flash crowd attack dataset) is aimed to verify and validate the accuracy of the proposed approach in terms of detecting the flash crowd attack that targets the web server during the flash event.