Modeling the spread of active worms

By Zesheng Chen, Lixin Gao, K. Kwiat. IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428), 2003

570 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/71148ead320ac3ce5b62fcd51e4bacfd1f8fe91d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chuanxiong Guo

In Computer Networks and Communications

1. Chuanxiong Guo
2. Alf Zugenmaier
3. Daniel R. Simon
4. Helen J. Wang
5. Dawn Song
6. James Newsome

In Signal Processing

1. Helen J. Wang
2. Dawn Song
3. James Newsome

Citations in the corpus

• The monitoring and early detection of Internet worms (2005, unknown): “…Zou, Member, IEEE, Weibo Gong, Fellow, IEEE, Don Towsley, Fellow, IEEE, and Lixin Gao, Member, IEEE Abstract After many Internet-scale worm incidents in re­cent years, it is clear that a simple self-propagating worm can quickly spread across the Internet and cause severe damage to our society.”
• Shield: vulnerability-driven network filters for preventing known vulnerability exploits (2004, background): “Many [23, 42, 22, 45] have characterized and analyzed the fast- and wide-spreading nature and potential [47, 6] of modern-day worms.”