摘要
电子资源的违规下载行为,严重损害了图书馆的声誉,也影响了电子资源的正常使用。现有的电子资源防控系统主要针对单点批量下载行为的防控,难以识别分布式的批量下载行为。为了应对这种新型的违规操作,通过分析上网行为日志,结合电子资源本身的逻辑组织结构,设计一个针对分布式批量下载的防控框架,并提出一种简单有效的特征识别算法。通过实验证明,文章所用的方法能够对单点批量下载和分布式批量下载的违规行为进行识别及处理。
The illegal downloading of electronic resources has seriously damaged the reputation of the library and also affected the normal use of electronic resources. The existing prevention and control system to the electronic resources are mainly for single node batch downloading behavior. It's difficult to identify the distributed batch downloading behavior. So there must be a way to deal with this new type of illegal operation. This paper has analyzed the online bahavior log and the logical organization structure of electronic resources. Then it has designed a framework for the provention and control of distributed batch downloading. A simple and effective feature recognition algorithm has also been proposed. Both the illegal single node and distributed batch downloading behavior are able to be recognized and processed by the way of the method proposed and verified in this paper.
出处
《图书馆学研究》
CSSCI
2016年第8期36-43,共8页
Research on Library Science
基金
国家社科基金项目"基于SOA架构的术语注册和服务系统构建与应用研究"(项目编号:11BT0023)的研究成果之一
"广西大学科研基金资助项目"(项目编号:XGS13007)资助
关键词
分布式批量下载
电子资源
访问控制
distributed batch download
electronic resource
access control