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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 seriously damaged the reputation of the library and affected the normal use of electronic resources. The existing electronic resource prevention and control system mainly aims at the prevention and control of the single-point batch download behavior and it is difficult to identify the distributed batch download behavior. In order to cope with this new type of illegal operation, a logistic prevention and control framework for distributed batch download was designed by analyzing the log of online behavior and the logical organizational structure of electronic resources. A simple and effective feature recognition algorithm was proposed. The experiment proves that the method used in this paper can identify and deal with the non-compliance of single-point batch download and distributed batch download.