MEGA: Modern Graph Analysis for Dynamic Networks
The goal of the MEGA research project is to develop new models and algorithms to examine dynamic, multi-modal, large-scale social and computer networks.
MEGA is a joint research effort of Stanford University and USC's Information Sciences Institute and Computer Science Department, and part of the ANT: the Analysis of Network Traffic research group. It is supported by the U.S. Air Force Office of Scientific Research (AFOSR) and the Defense Advanced Research Projects Agency (DARPA) from grant #FA9550-12-1-0411.
ISI's activities on MEGA ran from July 2012 to January 2014.
- Calvin Ardi, PhD student (USC CS Dept. and ISI)
- Ashish Goel, faculty and co-PI (Stanford, Management Science and Engineering) (also with a prior faculty appointment in USC CSD)
- John Heidemann, faculty and co-PI (USC/ISI)
- Calvin Ardi and John Heidemann 2015. Poster: Lightweight Content-based Phishing Detection. Technical Report ISI-TR-2015-698. USC/Information Sciences Institute. [PDF] ["Details"]
- Calvin Ardi and John Heidemann 2014. Web-scale Content Reuse Detection (extended). Technical Report ISI-TR-2014-692. USC/Information Sciences Institute. [PDF] ["Details"]
For related publications, please see the ANT publications web page.
See also ANT software.
- AuntieTuna Chrome browser extension to detect phishing websites
- Phishing Corpus: Coming soon.