Name
Abstract | ||
|---|---|---|
These growing threats and broad damages have made it imperative to understand, characterize, filter, and reduce exploit traffic towards millions of home routers and billions of connected devices in the home. This paper presents a bloom-filter based analytic framework to capture persistent threats towards the same home routers and to identify correlated attacks towards distributed home networks. Our experimental results based on network traffic collected from real homes over 18 months have revealed a number of interesting findings on persistent and correlated threats towards home networks, which calls for improved security and management of home networks. To the best of our knowledge, this paper is the first effort to characterize cyber threats towards home networks and to propose a simple and yet effective approach to identify persistent and aggressive attacks towards home networks. © 2015 IEEE. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/GLOCOM.2015.7417086 | Security and Communication Networks |
DocType | Volume | Issue |
Journal | 9 | 16 |
ISSN | Citations | PageRank |
2334-0983 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu Kuai | 1 | 0 | 0.34 |
| F Wang | 2 | 217 | 29.77 |
| Xiaohua Jia | 3 | 4609 | 303.30 |