AI-Driven Dynamic Passwordless Account System Technical Solution(Draft)

Core Objective

Leverage real-time user behavior data to generate dynamic identity identifiers (Dynamic Identity) and implement passwordless, high-security authentication through AI models.

1. Dynamic Account Generation Mechanism

1.1 Definition of Dynamic Accounts

  • Traditional Accounts: Static username + password (vulnerable to leaks and credential stuffing)
  • Dynamic Accounts: Generate temporary identity identifiers based on real-time user behavior (behavioral biometrics, device fingerprints, network environment) with timeliness and uniqueness

1.2 Data Collection and Feature Engineering

The system collects multi-dimensional data in real-time:

Data DimensionCollection MetricsPurpose
Behavioral BiometricsMouse movement, keystroke dynamics, touchscreen habitsUser uniqueness identification
Device FingerprintHardware info (CPU, GPU, MAC), browser fingerprintDevice trust verification
Network EnvironmentIP geolocation, VPN detection, Wi-Fi fingerprintAbnormal login detection
Contextual BehaviorLogin time, frequently used apps, operation sequencesDynamic risk assessment

Dynamic Account Generation Algorithm:

def generate_dynamic_identity(user_behavior, device_fingerprint, network_context):
    # Feature fusion (hashing + timestamp + behavioral feature encoding)
    behavior_hash = sha256(user_behavior + device_fingerprint)
    dynamic_id = f"{behavior_hash}:{timestamp}:{risk_score}"
    return dynamic_id