首页    期刊浏览 2024年09月20日 星期五
登录注册

文章基本信息

  • 标题:Risk Prediction of Malicious Code-Infected Websites by Mining Vulnerability Features
  • 本地全文:下载
  • 作者:Taek Lee ; Dohoon Kim ; Hyunchoel Jeong
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2014
  • 卷号:8
  • 期号:1
  • 页码:291-294
  • DOI:10.14257/ijsia.2014.8.1.27
  • 出版社:SERSC
  • 摘要:Malicious-code scanning tools are practically available for identifying suspicious websites. However, such tools only warn users about suspicious sites and do not provide clues as to why the sites were hacked and which vulnerability was responsible for the attack. In addition, the huge number of alarms burdens mangers while executing in-time-response duties. In this paper, a process involving feature modeling and data-mining techniques is proposed to help solve such problems.
  • 关键词:feature modeling; classification; vulnerability identification
国家哲学社会科学文献中心版权所有