File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Identifying first seeders in foxy peer to peer networks

TitleIdentifying first seeders in foxy peer to peer networks
Authors
Ieong, RLai, PChow, KPKwan, MLaw, F
KeywordsPeer-to-peer network forensics
Foxy network
Initial seeder
Issue Date2010
PublisherSpringer.
Citation
The 6th Annual IFIP WG 11.9 International Conference on Digital Forensics, Hong Kong, 4-6 January 2010. In Advances in Digital Forensics VI, 337 AICT, chapter 11, p. 151-168 How to Cite?
DOI: http://dx.doi.org/10.1007/978-3-642-15506-2_11
AbstractThis paper describes a new approach for identifying first seeders in illegal file sharing investigations involving Foxy, one of the most popular Chinese peer-to-peer networks. In identifying first seeders, the approach focuses on determining the slow-rising period of the cumulative seeder curve instead of merely measuring the number of seeders. The relationships between file popularity, number of packets and the maximum upload limit during the time that the first seeder is connected to the network are also analyzed. These relationships are used to specify rules that investigators can use to determine if an identified seeder is, in fact, the first seeder.
Persistent Identifierhttp://hdl.handle.net/10722/151986
ISBN
978-3-642-15505-5
ISSN
1868-4238
2023 SCImago Journal Rankings: 0.242
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorIeong, Ren_US
dc.contributor.authorLai, Pen_US
dc.contributor.authorChow, KPen_US
dc.contributor.authorKwan, Men_US
dc.contributor.authorLaw, Fen_US
dc.date.accessioned2012-06-26T06:32:04Z-
dc.date.available2012-06-26T06:32:04Z-
dc.date.issued2010en_US
dc.identifier.citationThe 6th Annual IFIP WG 11.9 International Conference on Digital Forensics, Hong Kong, 4-6 January 2010. In Advances in Digital Forensics VI, 337 AICT, chapter 11, p. 151-168en_US
dc.identifier.isbn978-3-642-15505-5-
dc.identifier.issn1868-4238en_US
dc.identifier.urihttp://hdl.handle.net/10722/151986-
dc.description.abstractThis paper describes a new approach for identifying first seeders in illegal file sharing investigations involving Foxy, one of the most popular Chinese peer-to-peer networks. In identifying first seeders, the approach focuses on determining the slow-rising period of the cumulative seeder curve instead of merely measuring the number of seeders. The relationships between file popularity, number of packets and the maximum upload limit during the time that the first seeder is connected to the network are also analyzed. These relationships are used to specify rules that investigators can use to determine if an identified seeder is, in fact, the first seeder.en_US
dc.languageengen_US
dc.publisherSpringer.-
dc.relation.ispartofAdvances in Digital Forensics VI: Sixth IFIP WG 11.9 International Conference on Digital Forensics, Hong Kong, China, January 4-6, 2010 : revised selected papersen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectPeer-to-peer network forensicsen_US
dc.subjectFoxy networken_US
dc.subjectInitial seederen_US
dc.titleIdentifying first seeders in foxy peer to peer networksen_US
dc.typeConference_Paperen_US
dc.identifier.emailChow, KP: chow@cs.hku.hken_US
dc.identifier.authorityChow, KP=rp00111en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/978-3-642-15506-2_11en_US
dc.identifier.scopuseid_2-s2.0-78651102022en_US
dc.identifier.hkuros182207-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78651102022&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume337 AICTen_US
dc.identifier.spage151en_US
dc.identifier.epage168en_US
dc.publisher.placeGermany-
dc.identifier.scopusauthoridLaw, F=19640490000en_US
dc.identifier.scopusauthoridKwan, M=19640239200en_US
dc.identifier.scopusauthoridChow, KP=7202180751en_US
dc.identifier.scopusauthoridLai, P=19640260600en_US
dc.identifier.scopusauthoridIeong, R=22734240200en_US
dc.identifier.issnl1868-4238-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats