Name
Abstract | ||
|---|---|---|
In the ongoing arms race between spammers and the multi-million dollar anti-spam industry, the number of unsolicited e-mail messages (better known as "spam") and phishing has increased heavily in the last decade. In this paper, we show that our novel friend-in-the-middle attack on social networking sites (SNSs) can be used to harvest social data in an automated fashion. This social data can then be exploited for large-scale attacks such as context-aware spam and social-phishing. We prove the feasibility of our attack exemplarily on Facebook and identify possible consequences based on a mathematical model and simulations. Alarmingly, all major SNSs are vulnerable to our attack as they fail to secure the network layer appropriately. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1866307.1866400 | ACM Conference on Computer and Communications Security |
Keywords | Field | DocType |
major snss,social networking site,social data,harvest social data,large-scale attack,novel friend-in-the-middle attack,last decade,automated fashion,context-aware spam,attack exemplarily,phishing,social network,spam,mathematical model | Arms race,Internet privacy,Social spam,Social network,Phishing,Computer science,Computer security,Network layer,Spambot,Liberian dollar,Spamming | Conference |
Citations | PageRank | References |
4 | 0.48 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Huber | 1 | 334 | 26.26 |
| Martin Mulazzani | 2 | 233 | 20.01 |
| Edgar Weippl | 3 | 856 | 105.02 |
| Gerhard Kitzler | 4 | 9 | 0.92 |
| Sigrun Goluch | 5 | 9 | 0.92 |