Name
Abstract | ||
|---|---|---|
Nowadays, IoT malwares are becoming a general threats. Typical examples are Mirai and Hajime. Recently, the battle between these two Malwares attracted attention. First, we modeled Mirai to infect IoT devices. Three patterns of simulation were performed while changing the frequency of reboot. As a result, it proved that infection rate decreases as reboot frequency increases. Next, We modeled the infection of Mirai and Hajime on the devices, the change in state of internal malware and device when infected. In that model, simulation was performed into two situations with different network topologies, and proved that the network topology affects the infection rate of Mirai. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ISCE.2017.8355547 | 2017 IEEE International Symposium on Consumer Electronics (ISCE) |
Keywords | Field | DocType |
Hajime,IoT devices,infection rate,internal malware,IoT malwares,Mirai,reboot frequency,network topology | Reboot,Petri net,Modeling and simulation,Computer science,Internet of Things,Computer network,Network topology,Malware,Infection rate | Conference |
ISSN | ISBN | Citations |
2158-3994 | 978-1-5386-2190-5 | 1 |
PageRank | References | Authors |
0.36 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroaki Tanaka | 1 | 1 | 0.70 |
| Yamaguchi, S. | 2 | 12 | 7.14 |