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BEACON dataset released for game-based behavioral security

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced BEACON, a large-scale multimodal dataset designed for continuous authentication and behavioral fingerprinting from gameplay data. The dataset captures synchronized data, including mouse dynamics, keystrokes, network packets, and screen recordings, from competitive Valorant sessions. BEACON aims to provide a rigorous benchmark for security models by leveraging the high cognitive and motor demands of tactical shooter games. AI

IMPACT Enables development of more robust behavioral biometrics for continuous authentication in high-stakes digital environments.

RANK_REASON Release of a new dataset for research purposes. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

BEACON dataset released for game-based behavioral security

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Release of a new dataset for research purposes. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Maninder Singh ·

    BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data

    Continuous authentication in high-stakes digital environments requires datasets with fine-grained behavioral signals under realistic cognitive and motor demands. But current benchmarks are often limited by small scale, unimodal sensing or lack of synchronised environmental contex…

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