首页    期刊浏览 2024年11月23日 星期六
登录注册

文章基本信息

  • 标题:DDoS Malicious Node Detection by Jaccard and Page Rank Algorithm in Cloud Environment
  • 本地全文:下载
  • 作者:Adil Hussain Mohammed
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2021
  • 卷号:69
  • 期号:5
  • 页码:55-59
  • DOI:10.14445/22312803/IJCTT-V69I5P108
  • 出版社:Seventh Sense Research Group
  • 摘要:Cloud infrastructure increases the strength of service and product based companies by serving more users with limited infrastructure. Many of researcher are working to improve the security of vulnerable cloud infrastructure. This paper has proposed a trust based model for detection of DDoS attacked malicious nodes in the network. Based on node resource uses in the network a belief was developed by the cloud bridge. Further paper evaluates jaccard coefficient trust value based on transaction happens between nodes. This jaccard coefficient is social feature calculate as per node behavior with all other nodes. Finally a cumulative trust was estimate by page rank method using jaccard and initial belief model. Experiment was done on DDoS attack network. Result shows that proposed model has increases the malicious node detection.
  • 关键词:Cloud computing; Jaccard Coefficient; Page Rank; Classification; Trust Model.
国家哲学社会科学文献中心版权所有