Name
Abstract | ||
|---|---|---|
Studies on the propagation of malware in mobile networks have revealed that the spread of malware can be highly inhomogeneous. Platform diversity, contact list utilization by the malware, clustering in the network structure, etc., can also lead to differing spreading rates. In this paper, a general formal framework is proposed for leveraging such heterogeneity to derive optimal patching policies t... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TNET.2014.2364034 | IEEE/ACM Transactions on Networking |
Keywords | Field | DocType |
Malware,Optimal control,Topology,IP networks,Vectors,Aggregates,Analytical models | Wireless network,Epidemic model,Maximum principle,Computer science,Computer network,Network topology,Malware,Cluster analysis,Network structure,Distributed computing,Belief propagation | Journal |
Volume | Issue | ISSN |
24 | 1 | 1063-6692 |
Citations | PageRank | References |
13 | 0.71 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soheil Eshghi | 1 | 58 | 6.46 |
| M. H. R. Khouzani | 2 | 182 | 14.59 |
| Saswati Sarkar | 3 | 1172 | 97.57 |
| Santosh S. Venkatesh | 4 | 381 | 71.80 |