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Characterizing and Detecting Malicious Crowdsourcing

机译:表征和检测恶意众包

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摘要

Popular Internet services in recent years have shown that remarkable things can be achieved by harnessing the power of the masses. However, crowd-sourcing systems also pose a real challenge to existing security mechanisms deployed to protect Internet services, particularly those tools that identify malicious activity by detecting activities of automated programs such as CAPTCHAs. Thus they would perform poorly or be easily bypassed when attacks are generated by real human workers inside a crowd-sourcing system.
机译:近年来流行的Internet服务表明,利用群众的力量可以实现非凡的成就。但是,众包系统对部署来保护Internet服务的现有安全机制也构成了真正的挑战,特别是那些通过检测自动程序(例如CAPTCHA)的活动来识别恶意活动的工具。因此,当众包系统内的真实人类工人发动攻击时,它们的性能会很差或很容易被绕开。

著录项

  • 来源
    《Computer communication review 》 |2013年第4期| 537-538| 共2页
  • 作者单位

    Electronic Engineering, Tsinghua University, Beijing, China;

    Department of Computer Science, University of California, Santa Barbara, USA;

    Electronic Engineering, Tsinghua University, Beijing, China;

    Department of Computer Science, University of California, Santa Barbara, USA;

    Department of Computer Science, University of California, Santa Barbara, USA;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Malicious crowdsourcing; crowdturfing; user behavior;

    机译:恶意众包;人群拥挤用户行为;

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