首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Web Robot Detection Based On Fuzzy System and PSO Algorithm
  • 本地全文:下载
  • 作者:Mohammad Ordouei ; Iman Namdar
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2018
  • 卷号:7
  • 期号:4
  • 页码:272-278
  • 出版社:IJCSN publisher
  • 摘要:Web robots are applications which recursively and automatically overview the content of website documents. Some robots are considered to be malicious. Hence, identifying web robots is a classification challenge. In this research we mainly present a hybrid particle swarm optimization method and fuzzy system aiming at increasing efficiency over Web robot detection and simulation by MATLAB software. Evaluation criteria are considered: Specificity, Accuracy, F- Measure, Recall and Precision. Results of the study for the proposed method are respectively: 99.81, 96.92, 96.10, 91.39 and 99.58. The yields for proposed basic fuzzy system and fuzzy network algorithm and ANFIS neural fuzzy network algorithm indicate the priority of the proposed method other than algorithms being compared.
  • 关键词:Web robot detection; fuzzy system; particle swarm optimization algorithm;
国家哲学社会科学文献中心版权所有