Name
Title | ||
|---|---|---|
Handling and analysis of fake multimedia contents threats with collective intelligence in P2P file sharing environments |
Abstract | ||
|---|---|---|
In this paper, we discuss the question of removing fake multimedia content files, intentionally manipulated by a group of attackers. By employing the un-biased collective intelligence of participating P2P peer-to-peer nodes, we identify and remove fake multimedia content files based on the reputation management. The proposed scheme determines the reputation value according to the trustworthiness along with confidence of multimedia content files, which are statistically drawn by collectively relating the decision making of individual peers about each multimedia content file. To verify this, we simulate the detection and recovery of the proposed reputation management that employs K-means and LBG clustering algorithms over colluded attackers. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1504/IJGUC.2013.054485 | IJGUC |
Keywords | Field | DocType |
reputation value,fake multimedia content,fake multimedia,content file,reputation management,collective intelligence,lbg clustering algorithm,proposed scheme,proposed reputation management,fake multimedia contents threat,multimedia content file,p2p peer-to-peer node,p2p file,k mean | Computer security,Computer science,Trustworthiness,Computer network,Cluster analysis,File sharing,Peer to peer file sharing,Reputation,k-means clustering,World Wide Web,Collective intelligence,Multimedia,Reputation management | Journal |
Volume | Issue | ISSN |
4 | 1 | 1741-847X |
Citations | PageRank | References |
2 | 0.38 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ByungRae Cha | 1 | 51 | 14.59 |
| Jongwon Kim | 2 | 1042 | 153.38 |