Identification and Prevention of Multiple Account in Social Media

Identity deception has become an increasingly important issue in the social media environment .The past methods for detecting fake profiles have mainly focused on detecting deception through verbal communication (e.g., speech or text).Although these methods yield a high detection accuracy rate, they are computationally inefficient for the social media environment .The work concentrate on detection method based on non-verbal behaviour for identity deception ,which can be applied to many types of social media .The main goal is to yield a high detection accuracy rate and computational efficiency for the social media environment. The number of users registering with social networking sites such as Facebook and Twitter keeps increasing at a rapid pace amounting to 82 percentage of the world’s online population. Social network usage has increased by 64% since 2005.. Proposed work to use non verbal behavior to identify and prevent multiple accounts in social media. Thereby security and privacy issues will be decreased with accuracy. The main contributions of this work can be propose a computationally efficient method (applicable to all social media classifications) for detecting identity deception through the use of non-verbal user activity in the social media environment.