Name
Abstract | ||
|---|---|---|
Malware, which spreads among hosts, brings potential damage to computer systems. Its propagation will even be facilitated when search engine exists. In this paper, we try to dig deeper into the infected time of communities and the malware behaviour in a search engine context. In order to address these problems, a two layer model is proposed for malware propagation via search engine. Derived from this model, we have found that when search engine exists, the reciprocal of infected time in different communities follows power law distribution and the number of malware increases exponentially at the early stage. Both of these hypothesis are validated later by simulations on a real-world dataset. |
Year | Venue | Field |
|---|---|---|
2018 | IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) | Reciprocal,Search engine,Pareto distribution,Computer science,Theoretical computer science,Malware |
DocType | ISSN | Citations |
Conference | 2159-4228 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yijin Chen | 1 | 16 | 2.18 |
| Yuming Mao | 2 | 1 | 2.73 |
| Lizhen Cui | 3 | 154 | 38.68 |
| Supeng Leng | 4 | 702 | 67.45 |
| Yunkai Wei | 5 | 4 | 2.49 |
| Xiaosha Chen | 6 | 10 | 2.65 |