Mouse Movement Periodicity Analysis for Remote Access Detection
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Solution Overview
Problem
Existing methods for detecting remote access during web resource browsing are ineffective as they rely on screen parameters that can be manually altered by fraudsters, and tools like VNC and TeamViewer do not change these parameters, making them unreliable for detection.
Innovation Solution
A method and system using a server to analyze the periodicity of computer mouse movement events through a machine learning algorithm to generate a statistical model of typical user behavior, comparing this with actual mouse movement data to detect deviations indicative of remote connections, without requiring special programs or port analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If screen parameters (resolution, color depth) are used for remote access detection, then detection can be performed using browser tools only, but fraudsters can manually alter these parameters making detection unreliable
Solution Approach 1:
The patent changes the detection parameter from static screen parameters (resolution, color depth) to dynamic temporal parameters (mouse movement periodicity, time intervals between events). This transformation makes the detection metric harder to manipulate since it reflects actual user behavior patterns over time rather than configurable system settings.
Solution Approach 2:
The patent replaces the mechanical/system-level detection approach (checking screen resolution and color depth) with a behavioral/biological approach (analyzing mouse movement patterns). This substitution leverages the fact that human motor behavior has inherent temporal characteristics that are difficult to replicate or manipulate, thereby improving reliability while maintaining ease of operation.
2Ease of manufacture
If traditional screen parameter detection methods are used, then implementation is simple using JavaScript, but they fail to detect remote access tools like VNC and TeamViewer that don't change screen parameters
Solution Approach 1:
The patent creates a universal detection mechanism based on mouse movement periodicity that works across all remote access tools regardless of whether they modify screen parameters. By focusing on behavioral patterns rather than tool-specific characteristics, the solution achieves broad adaptability while maintaining implementation simplicity through continued use of browser-based JavaScript.
Data Source
AI summary
Non-limiting embodiments of the present technology are directed to a field of computer science, and particularly to the methods and systems for remote access detection when browsing web resource pages. A method comprises receiving data representative of a periodicity of a computer mouse movement events; generating a statistical model, the statistical model representative of a typical periodicity of the computer mouse movement events associated with a legitimate user of the electronic device; receiving an indication of computer mouse movement events from the electronic device during a browsing session of the web resource; comparing a periodicity of the computer mouse movement events with the statistical model; in response to detecting a deviation in computer mouse movement events, generating a notification determining a presence of a remote connection to the browsing session; transmitting the notification to an entity associated with the web resources.