Bot or Not? A Case Study on Bot Recognition from Web Session Logs

被引：8

作者：

Rovetta, Stefano ^{[1
]}

Cabri, Alberto ^{[1
]}

Masulli, Francesco ^{[1
,2
]}

Suchacka, Grazyna ^{[3
]}

机构：

[1] Univ Genoa, DIBRIS, Via Dodecaneso 35, I-16146 Genoa, Italy

[2] Temple Univ, Ctr Biotechnol, Sbarro Inst Canc Res & Mol Med, Philadelphia, PA 19122 USA

[3] Univ Opole, Fac Math Phys & Comp Sci, Opole, Poland

来源：

QUANTIFYING AND PROCESSING BIOMEDICAL AND BEHAVIORAL SIGNALS | 2019年 / 103卷

关键词：

Web bot recognition; Classification; Sequential decision;

D O I：

10.1007/978-3-319-95095-2_19

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

This work reports on a study of web usage logs to verify whether it is possible to achieve good recognition rates in the task of distinguishing between human users and automated bots using computational intelligence techniques. Two problem statements are given, offline (for completed sessions) and on-line (for sequences of individual HTTP requests). The former is solved with several standard computational intelligence tools. For the second, a learning version of Wald's sequential probability ratio test is used.

引用

页码：197 / 206

页数：10

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