Researchers have developed a synthetic dataset containing 3,201 labeled multi-round conversations to help detect sophisticated smishing attacks that involve extended interactions with victims. This dataset enables the evaluation of various machine learning models and highlights the effectiveness of TF-IDF-based approaches over transformer architectures in detecting conversational smishing attempts. Developers should monitor advancements in this area to enhance cybersecurity measures against multi-stage social engineering tactics.
Read the full article at arXiv cs.CR (Cryptography & Security)
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alinemati1983-6987Written by alinemati1983-6987
