Review on Detecting OSN Malicious Account and Fake Reviews in Online Promotions

Abstract

In today's world, everyone has become associated with the online social networks, it has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, Myspace, or Twitter), this OSN platforms earn evenue from aid's and Online promotion activities. The E-Commerce platforms plan various kinds of online promotions through social networking platforms where people participate in those promotions, as these online promotions do offer some reward points/virtual money to achieve more publicity. If the user buy any product from this online promotions they can be rewarded with some reward points as per that product offers. For normal users this process is fine. But most of the time attackers plan various fake malicious accounts in social networking platforms. This accounts participates in online promotions and steal reward points/virtual money. In this project we came up with a system that detect fake malicious accounts by different behavior and classification techniques like Decision trees to classify the profiles into fake or genuine classes. The project also focuses on detecting fake product reviews in online E-Commerce platform.