2015
DOI: 10.1007/s12083-015-0371-x
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A privacy data leakage prevention method in P2P networks

Abstract: Registered peers to a P2P service can share and exchange information with other peers without servers using P2P network. In such P2P networks, there are frequent leaks of the internal privacy data of an organization through P2P file sharing. Today, DLP which is a privacy data leakage prevention technology is applied P2P network blocking and file encryption methods. However restricting all the services and normal users is difficult due to the number of ports used by P2P including the port 80. Thus, we propose a… Show more

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Cited by 20 publications
(12 citation statements)
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“…Though the proposed system protects the privacy of users from surveillance, it does not include any content protection mechanism that could protect the authors' copyrights. Chae et al (2016) proposed a system to prevent privacy data leakage through P2P file distribution systems. The proposed system identifies the sensitive or private data, and removes the information by the privacy data leaking risk factor from the sharing file.…”
Section: Previous Work On P2p Content Distribution Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Though the proposed system protects the privacy of users from surveillance, it does not include any content protection mechanism that could protect the authors' copyrights. Chae et al (2016) proposed a system to prevent privacy data leakage through P2P file distribution systems. The proposed system identifies the sensitive or private data, and removes the information by the privacy data leaking risk factor from the sharing file.…”
Section: Previous Work On P2p Content Distribution Systemsmentioning
confidence: 99%
“…The remaining systems either provide full anonymity or no anonymity at all to the users. (2015); Chae et al (2016) guarantee mutual anonymity to the users of the P2P system due to pseudonymity and anonymous authentication and communication techniques.…”
Section: Previous Work On P2p Content Distribution Systemsmentioning
confidence: 99%
“…One is the high accuracy and efficiency. The other is the anonymous detection to avoid privacy leakage [11], [12], [13].…”
Section: Fig 1 Correspondent Relationship Between Iov and Rfid Systemsmentioning
confidence: 99%
“…Confidential data of companies and organizations include intellectual property, financial information, personal credit card data scores, information about their sanctions and other information depending upon the business [4], [5], [6] . Data leakage is a serious threat to organizations as the number of incidents and the cost to those experiencing them continue to increase [7], [8].…”
Section: Introductionmentioning
confidence: 99%