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Internet Memes: A Novel Approach to Distinguish Humans and Bots for Authentication

机译:互联网模因:一种对人类和机器人进行认证的新方法

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More than half the web traffic is believed to be made of bots. Over the last few years, bots have grown increasingly sophisticated to carry out repetitive jobs, gain control over systems, run automated scripts and can also play games. Recently, bots have been capable of authenticating themselves as human beings. They have been known to conquer text based CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), image based CAPTCHA as well as several other authentication bypassing mechanisms. Further, other techniques like neural networks and machine learning have been instrumental in imparting enough training to bots to behave as humans, which has made it very difficult to distinguish bot behavior from human for the purpose of authentication. In this article, we present the concept of the Internet Memes which may successfully tell a bot and human apart. Considering the ever dynamic nature of Internet Memes, this may be one of the strongest techniques to distinguish between a human and a bot based on conscience and interpretation.
机译:据信超过一半的网络流量是由机器人制成的。在过去几年中,机器人越来越复杂,越来越复杂的作业,获得系统,运行自动脚本,也可以玩游戏。最近,机器人能够验证自己作为人类。已知他们征服基于文本的CAPTCHA(完全自动化的公共图灵测试,以告诉计算机和人类分开),基于图像的CAPTCHA以及其他几种认证绕过机制。此外,像神经网络和机器学习这样的其他技术都是有助于赋予足够的训练,以便表现为人类,这使得从人类识别的目的很难区分机器人行为。在本文中,我们介绍了互联网模因的概念,该概念可能成功地告诉机器人和人类。考虑到互联网模因的动态性质,这可能是区分人类和基于良知和解释的最强大的技术之一。

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