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  • 标题:A Semantic Rule-based Detection Scheme against Flooding Attacks on Cloud Environment
  • 本地全文:下载
  • 作者:Chu-Hsing Lin1 ; Chen-Yu Lee2 ; Shin-Pin Lai1
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2012
  • 卷号:6
  • 期号:2
  • 出版社:SERSC
  • 摘要:With the progress the Internet, more and more applications provide Web services. The presentation of web page has evolved to be dynamic. You also can interact with the web page. Some malicious users have malicious browsing behaviors, such as flooding attack, to waste the resources and bandwidth of the host for web page. Nowadays, more and more web services are developed on cloud computing. Flooding attack on the application layer has no ability to cause denial of service to a Web server on cloud computing. But resources on cloud mean cost. Any waste of resource will cause unnecessary cost. Therefore, in this paper we analyze PHP dynamic pages. According to analysis, we propose a method based on semantic concept to formulate rules to indentify malicious browsing behaviors in order to slice the cost.
  • 关键词:Clouds; Flooding attack; Web service; Semantic web
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