Credibility, Privacy and Policing on Online Social Media
talk at 1:00pm Friday, 14 October 2016, in ITE 229 at UMBC
Credibility, Privacy and Policing on Online Social Media
Prof. Ponnurangam Kumaraguru ("PK")
Indraprastha Institute of Information Technology, Delhi, India
1:00-2:00pm Friday, 14 October 2016, ITE 229, UMBC
With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way the Internet is being used. There is a dire need to investigate, measure, and understand privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and privacy issues on online social media. I will describe briefly some cool projects that we work on: TweetCred, OSM & Policing, OCEAN, and Call Me MayBe. Many of our research work is made available for public use through tools or online services. Our work derives techniques from Computational Social Science, Data Science, Statistics, Network Science, and Human Computer Interaction. In particular, in this talk, I will focus on the following:- TweetCred, a tool to extract intelligence from Twitter which can be useful to security analysts. TweetCred is backed by award-winning research publications in international and national venues.
- How police in India are using online social media, how we can use computer science understanding to help police engage more with citizens and increase the safety in society.
- OCEAN: Open source Collation of eGovernment data and Networks, how publicly available information on Government services can be used to profile citizens in India. This work obtained the Best Poster Award at Security and Privacy Symposium at IIT Kanpur, 2013 and it has gained a lot of traction in Indian media.
- Given an identity in one online social media, we are interested in finding the digital foot print of the user in other social media services, this is also called digital identity stitching problem. This work is also backed by award-winning research publication.
Posted: October 10, 2016, 9:48 AM