Social networks have become part of our everyday life and on average most Internet users spend more time on social networks than in any other online activity. We enjoy using online social networks to interact with other people through the sharing of experiences pictures videos and other types of information. Security researchers can continually offer better solutions to online threats; they can also discover new security threats to address. We believe that in order to improve the present solutions the next step is to create synergy among the different security solutions. This will create more robust and effective security solutions for detecting fake profiles spammers phishing attacks socware and other threats. Another possible direction is to utilize various them various Natural Language Processing (NLP) techniques and temporal analysis algorithms combining them with existing solutions to provide better and more accurate protection against online social networks threats. The privacy issues become more alarming when considering the nature of online social network.
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