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Privacy Control

Online social networks have become an important part of our social lives, and their inherent privacy problems have become a major concern for users. As of March 2016, 142 million Indians maintain a social network profile on Facebook and 30 million on Twitter, which provides them with a convenient way to communicate with family, friends and even total strangers. The Services provided by social media though add convenience to our life to a great extent and have made the world a much closely connected, this boon comes with few hidden problems. Though social media lets users share a part of our life to the world, it also gives birth to the security threats to our personal information.  The users are confronted with a dichotomy between sharing information with their loved ones and friends and sharing information with everyone else on the internet. To help users tackle this dilemma, social networks provide a plethora of privacy settings which allow the user to control his/her pri
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Inference Attacks On OSN's

INTRODUCTION TWITTER is a popular online social network and microbloging service for exchanging messages (also known as tweets) among people, supported by a huge ecosystem. Twitter announces that it has over 140 million active users creating more than 340 million messages every day [26] and over one million registered applications built by more than 750,000 developers [25]. The third party applications include client applications for various platforms, such as Windows, Mac, iOS, and Android, and web-based applications such as URL shortening services, image-sharing services, and news feeds. Among the third party services, URL shortening services which provide a short alias of a long URL is an essential service for Twitter users who want to share long URLs via tweets having length restriction. Twitter allows users to post up to 140-character tweets containing only texts. Therefore, when users want to share complicated information (e.g., news and multimedia), they should include a UR

Identifying Tinder Profiles on Facebook

Identifying Tinder Profiles on Facebook In the online world, everything that you ever put is linked and connected. You might think that you’ve put some information on one platform and that’s it, you’re good to go. But you, my friend, are sadly mistaken. With this thought in mind and the privacy concerns linked with Online Social Media, we would like to introduce you to our problem statement: Identifying Facebook Profiles from Tinder Profiles. Given a tinder profile, our aim is to identify the corresponding Facebook profile of that person. We are addressing the linkability issue here and trying to highlight how more information than what you’ve mentioned on Tinder can be picked up from your Facebook profile. For those who don’t know, Tinder is a Dating Platform available for a Mobile Application and a Web App. It shows the geographically close profiles around you and you have an option to right swipe(Like) or left swipe(Dislike) them. When two people right swipe each other then it’

Better Safe Than Sorry: An Analysis on the Crime in various Indian Cities

If rich people died in wars, the media would shift and finally pay attention and label it as a crime - @marvinthe_great   Safe Than Sorry  Abstract Data is being created all the time promoting the development of enormous datasets, for example, online networking platforms like Twitter. By mining these large datasets, it is conceivable to extricate helpful samples and patterns. The primary concentration of this venture is to break down Twitter and distinguish references to wrongdoing or weakness in the open content of tweets at that point can picture hotspots of wrongdoing onto a guide by utilising the area metadata connected to these tweets. We hopefully aim to gather a correlation of the "crimes talked about" versus the crime statistics of the areas over the years. Introduction Better safe than sorry . Your mother most likely shouted those words as she pursued you down the road, bicycle helmet in hand. Be that as it may, the expression turns out to be less