39. Detection of Fake and Clone Accounts in Twitter Using Classification and Distance Measure Algorithms

The social media applications like Facebook, Twitter, and others have gained a lot of name and fame and are represented as “Online Social Networks” (OSN). These networks are similar in their usage and can access with ease. With this popularity, people are sharing their personal sensitive information without checking any privacy policies, which made cyber-attacks easier nowadays. Most teenagers and women are getting affected by these cyber-attacks. Hackers take away the profile information of existing users in a profile cloning attack to create duplicate profiles, which are then used to compromise the identity of the original profile owners. This process is known as “Profile Cloning,” this cloning can be created on the same site or another site. Nowadays, hackers are creating fake profiles in cross-site, i.e., other social networks which are rare from the popular OSN walls. So, the users do not have any clue about their accounts on other platforms. Moreover, to simplify the registration process, the OSNs are not asking for authorization details which became an advantage for hackers to create millions of fake accounts. The proposed  KNN algorithm is  compared with the probability algorithm naïve Bayesian.