Ambiguity learning and data correlation in multi-cross modal cyber-physical systems for detecting fake information

Haewon Byeon, Ghayth AlMahadin, Qusay Bsoul, Aadam Quraishi, Mukesh Soni, Shahi Raza Khan and Mohammad Shabaz

Cyber-Physical Systems, 2025, vol. 11, issue 4, 488-507

Abstract: This paper proposes an improved cyber-physical false information detection model based on cross-modal ambiguous learning. This work introduced the IC2 LFD model with an emphasis on ‘text-image’ ambiguity, focusing on the main goal of intelligent multi-cross modal data fake information identification. The experiment revealed that the significance of text and images differs in intelligent multi-cross modal data fake information detection. The effectiveness of the model is verified on the twitter dataset, showing a 6% accuracy improvement compared to the baseline model and a 1.6% performance improvement over detection methods without dynamic weight allocation.

Date: 2025
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DOI: 10.1080/23335777.2025.2467638

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