通过准确的人工认证来抑制机器人流量

M. Jamshed, Wonho Kim, KyoungSoo Park
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引用次数: 5

摘要

人工认证是一种很有前途的技术,可以抑制互联网上不需要的机器人流量。通过在消息中附加人类存在的证明,接收端可以验证内容是否真的是由人类起草的。这种技术可以显著减少机器人产生的滥用,如垃圾邮件、密码破解甚至分布式拒绝服务(DDoS)攻击。不幸的是,现有的方法依赖于证明的概率特征,可以被聪明的攻击者利用。在本文中,我们提出了基于可信输入设备的确定性人类认证。通过将信任根放在输入设备上,我们将输入事件与网络传递的内容紧密绑定。每个输入事件都使用证明人类活动的加密散列生成,并且由此类事件组成的消息获得第三方可验证的数字签名,该签名被携带到远程应用程序。为此,我们使用可信平台模块(TPM)芯片和在设备内部运行的小型验证器来增强输入设备。这里我们主要关注值得信赖的键盘,但我们计划将该框架扩展到其他输入设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Suppressing bot traffic with accurate human attestation
Human attestation is a promising technique to suppress unwanted bot traffic in the Internet. With a proof of human existence attached to the message, the receiving end can verify whether the content is actually drafted by humans. This technique can significantly reduce bot-generated abuse such as spamming, password cracking or even distributed denial-of-service (DDoS) attacks. Unfortunately, existing methods rely on the probabilistic characteristics of attestations and can be exploited by smart attackers. In this paper, we propose deterministic human attestation based on trustworthy input devices. By placing the root of trust on the input device, we tightly bind the input events to the content for network delivery. Each input event is generated with a cryptographic hash that attests to human activity and the message consisting of such events gets a third-party verifiable digital signature that is carried to the remote application. For this, we augment the input device with a trusted platform module (TPM) chip and a small attester running inside the device. We focus on trustworthy keyboards here but we plan to extend the framework to other input devices.
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