Title :
Simulation and analysis on the resiliency and efficiency of malnets
Author :
Li, Jun ; Ehrenkranz, Toby ; Kuenning, Geoff ; Reiher, Peter
Author_Institution :
Oregon Univ., Eugene, OR, USA
Abstract :
Future network intruders will probably use an organized army of malicious nodes (here called "malnodes", or collectively a "malnet") to deliver many different attacks, rather than recruiting a disorganized set of compromised nodes per attack. However, partly due to the lack of understanding of the resiliency and efficiency a malnet can have, countering malnets has been ineffective. This paper begins to address this deficiency. Through calculation and simulation for three representative malnets-random, small-world, and Gnutella-like-we show that extremely resilient malnets can be formed to deliver attack code quickly. In particular, we show that disconnecting malnets is possible, but extremely naive approaches such as randomly disinfecting malnodes will not suffice, and effective defenses must either happen very quickly during a second-wave attack, or take effect prior to it.
Keywords :
computer networks; digital simulation; security of data; malicious node; malnet simulation; network intruder; Analytical models; Communication system control; Computer crime; Computer worms; Control systems; Cryptography; Distributed computing; Educational institutions; Network servers; Recruitment;
Conference_Titel :
Principles of Advanced and Distributed Simulation, 2005. PADS 2005. Workshop on
Print_ISBN :
0-7695-2383-8
DOI :
10.1109/PADS.2005.29