Name
Abstract | ||
|---|---|---|
Mobile malware is an increasing threat to the world of handheld devices, which can prove to be costlier than PC viruses in the future. The current method used to combat mobile malware is virus signature matching which is based on the slow process of reverse engineering. This paper studies the growth, spread and generic behaviors of mobile and ubiquitous malware in mobile phones. We extend the works of Bose et al. and Schmidt et al. with an additional feature to reduce the effectiveness of mobile malware propagation. The objective of our work is to investigate the trends and generic behavioral patterns of mobile malware and suggest a generic proof-of-concept model which combines the works of Bose et al. and Schmidt et al. with a new feature to slowdown the spread of known and unknown mobile malware which may share similar behavioral patterns. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1821748.1821856 | Advances in Mobile Multimedia |
Keywords | Field | DocType |
mobile security,unknown mobile malware,mobile worm,generic behavioral pattern,generic behavior,additional feature,generic proof-of-concept model,mobile malware,cellphone,mobile phone,pda,mobile malware propagation,smartphone,new feature,mobile virus,ubiquitous malware,reverse engineering,proof of concept,handheld device | Mobile technology,Mobile malware,Mobile computing,Mobile search,Computer security,Computer science,Computer network,Mobile device,Mobile Web,Mobile phone,Malware | Conference |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yean Li Ho | 1 | 1 | 1.02 |
| Swee-Huay Heng | 2 | 384 | 47.50 |