Posts

Image
README.md TODO Add a timeline/roadmap of the blog Our Team Add evaluation+conclusion Image Grid Plots Inferences from Plots (things like what students were expected to say in classes in Google Meet) Slides Video Divide sections for each person Record on empty meet meetings combine Phone Numbers (StackOverflow) Plot test ForgetMeNot: Exploring Accidental Linkability of Users A case study on GitHub, StackOverflow and Twitter Online Social Networks (OSNs) have experienced exponential growth in recent years. They have a major presence in both personal and professional lives of a huge segment of the world's populace. Any content or personal information that an individual shares on any social network can be traced back to him/her even after it has been removed. It is rightly said that 'Nothing is ever lost on the internet'. Unsurprisingly, OSNs are subject to serious privacy and security risks. Due to the amount of personally identifiable i
With the advent of countless social networks in the 21st century, an individual’s privacy and security are highly compromised. Any content or personal information that an individual shares on any social network can be traced back to him/her even after it has been removed. It is rightly said that ‘Nothing is ever lost on the internet’. Along with the problem of online privacy and security, potentially existing linkability of several online social networks to a single user is a popular research question recently.  Hence for our project, we decided to explore this accidental linkability by exploiting the internet’s privacy and security issues. We planned to do so by accessing publically available data and trying to collect as much personally identifiable information (PII) as possible for any individual and then try to link him/her to accounts on different social network platforms.     Initial Data Collection  To get a starting point, we downloaded all the public data