Title :
ContagAlert: Using Contagion Theory for Adaptive, Distributed Alert Propagation
Author :
Treaster, Michael ; Conner, William ; Gupta, Indranil ; Nahrstedt, Klara
Author_Institution :
Google Inc., Mountain View, CA
Abstract :
Large-scale distributed systems, e.g., grid or P2P networks, are targets for large-scale attacks. Unfortunately, few existing systems support propagation of alerts during the attack itself while also suppressing disruptive alerts from faulty or malicious sources. This paper proposes the "ContagAlert" protocol, which uses contagion spreading behavior to spread alerts. ContagAlert rapidly propagates alerts during attacks while also suppressing disruptive alerts. The core contagion protocols in the system are completely localized, but result in desired behavior at the network scale. We analyze and evaluate our protocol with synthetic simulations and in both Internet worm and DoS attack scenarios
Keywords :
Internet; distributed algorithms; grid computing; invasive software; peer-to-peer computing; protocols; telecommunication security; ContagAlert protocol; DoS attack; Internet worm; P2P network; contagion theory; disruptive alert suppression; distributed alert propagation; distributed system; grid network; Analytical models; Biological system modeling; Computer crime; Computer science; Computer worms; IP networks; Large-scale systems; Peer to peer computing; Protocols; System testing;
Conference_Titel :
Network Computing and Applications, 2006. NCA 2006. Fifth IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-2640-3
DOI :
10.1109/NCA.2006.20