CAPTCHA Alpha

Introduction:

As we all know, CAPTCHA is a solution designed to prevent bots and robots from accessing websites that are meant for humans. The goal is to ensure that only real users interact with the application. However, some individuals try to bypass this protection by using bots to gain access. CAPTCHA was introduced as a solution that uses patterns of distorted alphabets and numbers, which only humans can read and interpret, while bots cannot.

CAPTCHA Issues:

Now, let's talk about the problem. Sometimes, even humans struggle to solve these CAPTCHAs, which makes a simple login process take longer than necessary. This can be especially frustrating when the CAPTCHA is too difficult to read or understand.

A second issue is that many websites now use a simple checkbox CAPTCHA — the 'I am not a robot' box. This was designed to stop bots, but over time, bots have become so advanced that they can now tick the checkbox themselves, making it hard to differentiate between bots and real users.

Our Solution - CAPTCHA Alpha:

To tackle these issues, we’ve developed a solution called CAPTCHA Alpha. Our approach moves beyond the traditional CAPTCHA by using behavioral monitoring to differentiate between humans and bots.

We’re developing an API-based software that can be integrated into systems. It will monitor a user’s movement, like their mouse speed, the areas of the screen they focus on, their scroll speed, and even their typing patterns. These behaviors will help us determine whether the user is human or a bot.

How It Works:

This is done using machine learning. We use two key components:

1. Client-Side Logger – This records the user's activity, such as their movements and interactions.
2. Server-Side Classifier – This analyzes the data collected by the logger to distinguish between human and bot behaviors.

If the system detects that the user is human, they will be granted direct access. If the user is identified as a bot, they will be blocked.