Traditional ad fraud prevention relies on reactive IP blacklisting and user-agent analysis. These methods result in high false-positive rates and fail to detect sophisticated "headless" bots. This paper introduces a novel approach using Real-time Behavioral Entropy.
1. The Failure of Static Analysis
Static analysis assumes that bad actors use known malicious IPs or outdated User Agents. However, modern botnets utilize residential proxies and rotate 4G/5G IPs every few requests, rendering IP-based blocking ineffective. Furthermore, legitimate users often share IPs (CGNAT), leading to false positives when an IP is blindly blocked.
2. Our Approach: Behavioral Entropy
AdSpendGuard utilizes a client-side telemetry engine that analyzes the micro-movements of the user's input device. We posit that human motor function exhibits a specific level of "entropy" (randomness) that algorithmic scripts fail to replicate perfectly without computationally expensive noise injection.
2.1 Angle Variance (Linearity)
When a human moves a mouse from point A to point B, the path is never a perfect straight line. There are micro-deviations. Robots, by default, calculate the shortest path (linear) or a perfect Bezier curve.
2.2 Velocity & Acceleration
Humans accelerate and decelerate. A constant velocity (zero acceleration) over a path is physically impossible for a hand-controlled device due to friction and motor control. Our engine calculates the absolute standard deviation of acceleration to distinguish robotic consistency from organic flow.
3. The Inconsistency Engine
Beyond mouse movement, we analyze the browser environment for logical fallacies. For instance, a user claiming to be on a "MacBook Pro" via User-Agent but reporting `navigator.hardwareConcurrency = 1` creates a hardware mismatch typical of low-cost virtual machines.
4. Conclusion
By shifting purely from identity-based blocking to behavioral analysis, AdSpendGuard achieves a 99.99% legitimate user acceptance rate while blocking 99.5% of sophisticated automated traffic. This results in an immediate 15-30% reduction in wasted ad spend for our partners.