Deconstructing the Kazaa network

Leibowitz, Nathaniel; Ripeanu, Matei; Wierzbicki, Adam

doi:10.1109/wiapp.2003.1210295

Cited by 140 publications

(125 citation statements)

References 9 publications

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“…For other P2P systems than BitTorrent, several measurement studies of P2P networks have addressed the issues of availability [2,4,6], integrity [10], flashcrowds [5,9], and download performance [1,15,14,3,4]. Most of the availability studies only span a few days [2] or weeks [4], making it difficult to draw conclusions on long-term peer behavior.…”

Section: Related Workmentioning

confidence: 99%

The Bittorrent P2P File-Sharing System: Measurements and Analysis

Pouwelse

Garbacki

Epema

et al. 2005

Lecture Notes in Computer Science

568

399

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Of the many P2P file-sharing prototypes in existence, BitTorrent is one of the few that has managed to attract millions of users. BitTorrent relies on other (global) components for file search, employs a moderator system to ensure the integrity of file data, and uses a bartering technique for downloading in order to prevent users from freeriding. In this paper we present a measurement study of BitTorrent in which we focus on four issues, viz. availability, integrity, flashcrowd handling, and download performance. The purpose of this paper is to aid in the understanding of a real P2P system that apparently has the right mechanisms to attract a large user community, to provide measurement data that may be useful in modeling P2P systems, and to identify design issues in such systems.

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Section: Related Workmentioning

confidence: 99%

The Bittorrent P2P File-Sharing System: Measurements and Analysis

Pouwelse

Garbacki

Epema

et al. 2005

Lecture Notes in Computer Science

568

399

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“…In most decentralized systems such as Gnutella and KaZaA, downloading traffic is highly focused around a small minority of popular targets and these popular files tend to be gradually concentrated in a small set of providers. For example, in Gnutella, 50% of all files are served by just 1% of nodes and 98% of all files are shared by the top 20% nodes [14]; in KaZaA, 10% most popular files generate 60% of the download traffic and 70% of the highly popular files will remain popular for at least 10∼15 days [18]. These are strong indications that a small fraction of popular hosts sharing the most interesting files could be conveniently leveraged as the early distributors, which effectively push security patches to active downloaders in the system.…”

Section: Scheme Descriptionmentioning

confidence: 99%

On the Effectiveness of Internal Patching Against File-Sharing Worms

Xie

Song

Zhu

2008

Lecture Notes in Computer Science

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Abstract. File-sharing worms have been terrorizing Peer-to-peer (P2P) systems in recent years. Existing defenses relying on users' individual recoveries or limiting users' file-sharing activities are ineffective. Automated patching tools such as Microsoft Windows Update and Symantec Security Update are currently the most popular vehicles for eliminating and containing Internet worms, but they are not necessarily the best fits for combating P2P file-sharing worms, which propagate within a relatively smaller community. In this paper, we propose a complementary P2P-tailored patching system which utilizes the existing file-sharing mechanisms to internally disseminate security patches to those participating peers in a timely and distributed fashion. Specifically, we examine the effectiveness of leveraging the file downloading or searching process to notify vulnerable end hosts of the surging worms and push corresponding security updates to these hosts. We show through in-depth analysis and extensive experiments that both methods are scalable and effective in combating existing P2P worms.

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“…The second contribution of our research is the analysis of the impact on download traffic caching performance of simplifying assumptions introduced by previous studies [7,8]. In particular, the filename is considered as a unique identifier for the content, although several filenames may be associated to the same content and viceversa.…”

Section: Introductionmentioning

confidence: 99%