Name
Abstract | ||
|---|---|---|
The openness of the smartphone operating systems has increased the number of applications developed, but it has also introduced a new propagation vector for mobile malware. We model the propagation of mobile malware among humans carrying smartphones using epidemiology theory and study the problem as a function of the underlying mobility models. We define the optimal approach to heal an infected system with the help of a set of static healers that distribute patches as the T-Cover problem, which is NP-COMPLETE. We then propose three families of healer protocols that allow for a trade-off between the recovery time and the energy consumed for deploying patches. We show through simulations using the NS-3 simulator that despite lacking knowledge of the exact future, our healers obtain a recovery time within a 7.4× ∼ 10× bound of the oracle solution that has knowledge of the future arrival time of all the infected nodes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.adhoc.2014.07.031 | Ad Hoc Networks |
Keywords | Field | DocType |
Epidemic,Malware,Defense,Mobile adhoc networks | Mobile malware,Computer science,Computer security,Oracle,Computer network,Mobility model,Malware | Journal |
Volume | ISSN | Citations |
24 | 1570-8705 | 1 |
PageRank | References | Authors |
0.35 | 42 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Md. Endadul Hoque | 1 | 115 | 11.00 |
| Rahul Potharaju | 2 | 549 | 27.66 |
| Cristina Nita-Rotaru | 3 | 1855 | 100.14 |
| Saswati Sarkar | 4 | 1172 | 97.57 |
| Santosh S. Venkatesh | 5 | 381 | 71.80 |