|Meng-Jang Lin||Keith Marzullo||Aleta Ricciardi|
An epidemic can be characterized by many different parameters, but our research focuses on one: how an individual can contact another thereby transmitting the disease (in our case, information). We are studying how this parameter affects the distribution of the number of infected individuals as a function of time. For the case of viruses and worms, we are interested in slowing the infection down, while for gossip protocols we are interested in speeding it up.
Meng-Jang Lin, Keith Marzullo, and Aleta Ricciardi. A New Model for Availability in the Face of Self-Propagating Attacks. In Proceedings of the 1998 New Security Paradigms Workshop,Charlottesville, VA, November 1998, pp. 134-137. Full version available as UCSD Technical Report TR CS99-0610, January 1999.
Meng-Jang Lin and Keith Marzullo. Directional Gossip: Gossip in a Wide-Area Network. UCSD Technical Report TR CS99-0622. A shorter version can be found in the Proceedings of the Third European Dependable Computing Conference, Prague, Czech Republic, September 1999 (Springer-Verlag Lecture Notes in Computer Science 1667), pp. 364-379.
Meng-Jang Lin, Keith Marzullo, and Stefano Masini. Gossip versus Deterministic Flooding: Low Message Overhead and High Reliability for Broadcasting on Small Networks. UCSD Technical Report TR CS99-0637.