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Social Media Platforms have become an extensive medium for countless people to interact with each other. Social media platforms have become widespread because of the connection among people everywhere... in the world and allow sharing of photographs, documents, videos, etc. Privacy and safety challenges among the networks have become a big fear for users generating clone attacks. Here, we are discussing social media platforms where a large number of fake IDs are produced each month and annually, and we briefly explain the research that has been done by the researcher over the past four to five years. We also discuss how to stop these fake IDs and how effective their solutions are. Also, we have summarized the techniques/ algorithms that provide security to social media platforms. Finally, we discussed all the possible solutions to make it better or more secure than before with the help of ML or DL but still, there are not many implementations with advanced machine learning and deep learning algorithms. Research is going on till now. Despite the fact that we cannot entirely secure our social media platforms like Facebook accounts due to the streaming data but cloned attacks can be identified with greater accuracy as compared to previous related research. According to our survey, we can conclude that if we use the latest dataset along with advanced ML and DL algorithms to detect fake accounts and cloned attacks then results can be improved to secure social media platforms.続きを見る
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Mendeley出力
p2011-2021