Re-Fake: Fake Account Classification in OSN Using RNN
نویسندگان
چکیده
Online Social Network (OSN) is an application for enabling public communication and sharing information. However, the fake account in OSN can spread false information with unknown source. It a challenging task to detect malicious accounts large system. The existence of or on be severe issue data privacy-preserving. Various communities have proposed many techniques deal OSN, including rule-based black-white technique until learning approaches. Therefore, this study we propose classification model using RNN accurately effectively. We conduct several steps, gathering datasets, pre-processing, extraction, training our models RNN. Based experiment result, produce higher accuracy than conventional
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ژورنال
عنوان ژورنال: International Journal of Informatics and Computation
سال: 2022
ISSN: ['2685-8711', '2714-5263']
DOI: https://doi.org/10.35842/ijicom.v4i1.48