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

  • Ishaani PriyadarshiniEmail author
  • Chase Cotton
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)

Abstract

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.

Keywords

Bots Authentication Internet memes Neural networks Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of DelawareNewarkUSA

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