SMART Model: A Robust Approach for Cyber Criminal Identification using Smartphone Data

The SMART (Smartphone Metadata Analysis for Recognizing Threats) model is a novel approach to the identification of prospective cyber criminals by analyzing smartphone data, with a particular emphasis on social media interactions, messages, and call logs. The SMART model, in contrast to conventional...

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Bibliographic Details
Published in:Engineering, technology & applied science research technology & applied science research, 2024-12, Vol.14 (6), p.17599-17603
Main Authors: Swetha, K., Sivaraman, K.
Format: Article
Language:English
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Summary:The SMART (Smartphone Metadata Analysis for Recognizing Threats) model is a novel approach to the identification of prospective cyber criminals by analyzing smartphone data, with a particular emphasis on social media interactions, messages, and call logs. The SMART model, in contrast to conventional methods that depend on a wide variety of features, prioritizes critical parameters to ensure more precise and effective analysis. This model exhibits exceptional adaptability and robustness in a variety of data environments by employing sophisticated feature extraction and classification algorithms. This targeted approach not only improves the precision of threat identification but also offers a practicable solution for real-world cybersecurity applications, where data quality and consistency may vary.
ISSN:2241-4487
1792-8036
DOI:10.48084/etasr.8195