Name
Abstract | ||
|---|---|---|
We study the influence of motion on malicious code propagating in scale-free networks of moving agents which additionally perform long-distance jumps. A small percentage of jumps in the agent motion is sufficient to destroy the local correlations and to produce a large decrease in the propagation threshold, well explained in terms of mean-field theory. This effect is similar to the crossover found in static small-world networks, and can be furthermore linked to the structural properties of the dynamical network of agent interactions. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CSSE.2008.660 | CSSE (3) |
Keywords | Field | DocType |
local correlation,agent motion,long-distance jump,scale-free networks,large decrease,modeling malicious code spread,scale-free network,dynamical network,propagation threshold,mean-field theory,agent interaction,malicious code,mathematical model,mean field theory,topology,network topology,scale free networks,small world networks,complex networks,scale free network,small world network | Crossover,Computer science,Small-world network,Network topology,Theoretical computer science,Scale-free network,Mean field theory,Complex network,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changguang Wang | 1 | 36 | 6.45 |
| Xu Bai | 2 | 37 | 9.94 |
| Shuai Fu | 3 | 13 | 2.52 |
| Jianfeng Ma | 4 | 1336 | 155.62 |