A detection system to counter identity deception in social media applications

摘要: Considering the current landscape of internet where there is a plethora social networking sites and collaborative websites like Wikipedia concern about malicious users keeping multiple accounts prime importance. Most allow to easily create an account start accessing content. Social media services such as project's single user constantly creates many with different names not long after block has been applied. The blocked person who called sockpuppet. Current mechanism for detecting deception are based on human detection (e.g., speech or text). Although these method have high accuracy, but it cannot be applied in databases large volumes data. So they computationally inefficient. There efficient identity by using both Nonverbal activity Movement) Verbal Behavior (facial expression, text) environment. These methods increase accuracy. Post examination close monitoring which finds out that can any