A Model for Foxy Peer-to-Peer Network Investigations

Ieong, Ricci S. C.; Lai, Pierre K. Y.; Chow, Kam-Pui; Law, Frank Y. W.; Kwan, Mei Po; Tse, K.W.

doi:10.1007/978-3-642-04155-6_13

Cited by 5 publications

(10 citation statements)

References 3 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several works described the Gnutella protocol [1,10,11,7] and how to listen, collect, and interpret trac. An optimal node placement algorithm [11] for information retrieval was discussed, but its purpose was for use in P2P client software in order to nd information while conserving bandwidth and limiting the amount of trac overhead in the network.…”

Section: Methodsmentioning

confidence: 99%

“…2.5 P2P Network Usage Behavior [10] proposes a heuristic method for determining peers that introduce a particular le into a P2P network. This method is based o of a hypothetical model of how les are rst introduced and distributed in a P2P network.…”

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

“…This method is based o of a hypothetical model of how les are rst introduced and distributed in a P2P network. According to [10], when new les are introduced to a P2P network, they are rst announced outside the network.…”

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

“…The IP address is the only identifying information that could be used to track down the location and owner of the node. Therefore [10] suggests a method of repacking intercepted queries and sending them out to determine the IP addresses of machines hosting the le that has been queried for.…”

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

“…[10] suggest that this could be done with the help of a database system to store the queries and associated IP addresses of machines hosting the queries. …”

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

See 4 more Smart Citations

Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material.

Miles

View full text Add to dashboard Cite

Because of the anonymity that P2P networks provide, they are an ideal medium for the exchange of contraband material such as child pornography. Unfortunately, not much research has been conducted on how to best monitor these types of networks for contraband searching and sharing activity. This thesis proposes techniques to advance the state of the art in peer to peer data exchange monitoring and detection of nodes that participate in distributing and sharing contraband material.Because of the legal considerations in working with a live P2P network and the technical diculty in developing and testing a surveillance system for P2P networks, a simulator was developed that attempts to accurately simulate the behavior of users on P2P networks based upon empirical data collected from several researchers.With the help of the simulation platform that has been developed, a complete methodology for monitoring contraband activity and reporting the most prolic contraband users has been created. This methodology, if implemented on an actual P2P network, should allow the detection of members of the network who are the most active sharers and distributors of contraband material.iv

show abstract

Section: Methodsmentioning

confidence: 99%

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

“…[10] suggest that this could be done with the help of a database system to store the queries and associated IP addresses of machines hosting the queries. …”

Section: The Compartmental Model For P2p Networkmentioning

confidence: 99%

See 3 more Smart Citations

Architecture analysis of peer-to-peer network structure and data exhanges for distribution of contraband material.

Miles

View full text Add to dashboard Cite

show abstract

Identifying First Seeders in Foxy Peer-to-Peer Networks

Ieong¹,

Lai²,

Chow³

et al. 2010

Advances in Digital Forensics VI

Self Cite

View full text Add to dashboard Cite

This 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.

show abstract