Peer-To-Peer Applications: from Bittorrent to Privacy
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Foxx Street Gossip Zip File Download Avtok V.1.0
foxx street gossip zip file download AvtoK v.1.0. AvtoK - multi autoclicker. Software for recording and playback of action with a keyboard and mouse, which can be repeated in autoclicker. Despite the apparent simplicity of the main window is quite powerful in its class. Scope: In games and sites that require routine activities. To automate tedious and repetitive actions on the computer. By setting the control points can analyze the image on the screen and organize complex actions. Features. Read more. Rate: License: Freeware Category: Automation Tools Developer: Ocean games Downloads: 319 Size: 1.63 Mb Price: Free. To free download a trial version of AvtoK, click here To visit developer homepage of AvtoK, click here. Screen Shot. Click on a thumbnail for the larger image. System Requirements. AvtoK requires Win2000, Win7 x32, Win7 x64, Win98, WinServer, WinVista, WinVista x64, WinXP. Buzzer v.1.1.0.0. A massive red button that plays a sound of your choice from the config menu allowing you to have a game show style buzzer. Cockerel sound Smelly bottom sound Joke drum roll sound French tart sound Door bell sound Horny horn sound Bloke who’s trapped his figure in the car boot sound Wolf whistle sound Some nifty piece of. Read more. Rate: Release Date: 09/13/2012 License: Freeware Category: Recreation Developer: FluxedDev.com Downloads: 26 Size: 6 Mb Price: Free. To free download a trial version of Buzzer, click here To visit developer homepage of Buzzer, click here. Screen Shot. Click on a thumbnail for the larger image. System Requirements. -
The Edonkey File-Sharing Network
The eDonkey File-Sharing Network Oliver Heckmann, Axel Bock, Andreas Mauthe, Ralf Steinmetz Multimedia Kommunikation (KOM) Technische Universitat¨ Darmstadt Merckstr. 25, 64293 Darmstadt (heckmann, bock, mauthe, steinmetz)@kom.tu-darmstadt.de Abstract: The eDonkey 2000 file-sharing network is one of the most successful peer- to-peer file-sharing applications, especially in Germany. The network itself is a hybrid peer-to-peer network with client applications running on the end-system that are con- nected to a distributed network of dedicated servers. In this paper we describe the eDonkey protocol and measurement results on network/transport layer and application layer that were made with the client software and with an open-source eDonkey server we extended for these measurements. 1 Motivation and Introduction Most of the traffic in the network of access and backbone Internet service providers (ISPs) is generated by peer-to-peer (P2P) file-sharing applications [San03]. These applications are typically bandwidth greedy and generate more long-lived TCP flows than the WWW traffic that was dominating the Internet traffic before the P2P applications. To understand the influence of these applications and the characteristics of the traffic they produce and their impact on network design, capacity expansion, traffic engineering and shaping, it is important to empirically analyse the dominant file-sharing applications. The eDonkey file-sharing protocol is one of these file-sharing protocols. It is imple- mented by the original eDonkey2000 client [eDonkey] and additionally by some open- source clients like mldonkey [mlDonkey] and eMule [eMule]. According to [San03] it is with 52% of the generated file-sharing traffic the most successful P2P file-sharing net- work in Germany, even more successful than the FastTrack protocol used by the P2P client KaZaa [KaZaa] that comes to 44% of the traffic. -
Replication Strategies for Streaming Media
“replication-strategies” — 2007/4/24 — 10:56 — page 1 — #1 Research Report No. 2007:03 Replication Strategies for Streaming Media David Erman Department of Telecommunication Systems, School of Engineering, Blekinge Institute of Technology, S–371 79 Karlskrona, Sweden “replication-strategies” — 2007/4/24 — 10:56 — page 2 — #2 °c 2007 by David Erman. All rights reserved. Blekinge Institute of Technology Research Report No. 2007:03 ISSN 1103-1581 Published 2007. Printed by Kaserntryckeriet AB. Karlskrona 2007, Sweden. This publication was typeset using LATEX. “replication-strategies” — 2007/4/24 — 10:56 — page i — #3 Abstract Large-scale, real-time multimedia distribution over the Internet has been the subject of research for a substantial amount of time. A large number of mechanisms, policies, methods and schemes have been proposed for media coding, scheduling and distribution. Internet Protocol (IP) multicast was expected to be the primary transport mechanism for this, though it was never deployed to the expected extent. Recent developments in overlay networks has reactualized the research on multicast, with the consequence that many of the previous mechanisms and schemes are being re-evaluated. This report provides a brief overview of several important techniques for media broad- casting and stream merging, as well as a discussion of traditional IP multicast and overlay multicast. Additionally, we present a proposal for a new distribution system, based on the broadcast and stream merging algorithms in the BitTorrent distribution and repli- cation system. “replication-strategies” — 2007/4/24 — 10:56 — page ii — #4 ii “replication-strategies” — 2007/4/24 — 10:56 — page iii — #5 CONTENTS Contents 1 Introduction 1 1.1 Motivation . -
Bittorrent Files Hace Stopped Downloading
bittorrent files hace stopped downloading Why Some Torrents Don’t Download? A torrent that doesn’t start downloading or one that suddenly stops can be very frustrating. You check your Internet connection, the cables, and everything looks good. So what can be the reasons for those torrents that don’t seem to work? Some Torrents Don’t Download. The main reason behind a torrent file that doesn’t even start downloading is the lack of seeders and peers. In other words, there is no one seeding that file, meaning there’s no place where you can download it from. That’s why it’s very important that you have a look at the number of seeders and peers every time you start a new download. Seeders are the users who already finished downloading and are only sharing. The peers are the ones like you, the ones who are downloading and uploading at the same time. Some Files Suddenly Stop Downloading. This is another common scenario. We’ve all been there when a torrent stops at some moment, such as 99%. That usually happens when there are only peers, but no seeders . If you think about it, it makes total sense. The peers have many parts of the torrent in common, and they will share those between them. But because there are zero seeders, no one has the entire file , and everyone will share the same parts and stop in the same percentage point. A Dead Torrent. Both of the situations we just saw are what users in the community call a “dead torrent”. -
Improving Fairness in Peer-To-Peer Networks by Separating the Role of Seeders in Network Infrastructures
Turkish Journal of Electrical Engineering & Computer Sciences Turk J Elec Eng & Comp Sci (2016) 24: 2255 { 2266 http://journals.tubitak.gov.tr/elektrik/ ⃝c TUB¨ ITAK_ Research Article doi:10.3906/elk-1402-304 Improving fairness in peer-to-peer networks by separating the role of seeders in network infrastructures Alireza NAGHIZADEH∗, Reza EBRAHIMI ATANI Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran Received: 27.02.2014 • Accepted/Published Online: 08.07.2014 • Final Version: 15.04.2016 Abstract:Fairness is one of the most important challenges that should be considered as a priority when designing a P2P file-sharing network. An unfair P2P network may attract free-riders, frustrate the majority of users, and consequently shorten the longevity of files. When BitTorrent protocol was first introduced, by suggesting new algorithms like tit-for- tat or rarest-first and combining them with methods like choking and unchoking, it pushed fairness one step forward. However, BitTorrent did not bring a plenary solution and has its own shortcomings. For instance, neither this protocol nor other P2P protocols that we are aware of precisely indicate how seeders should be treated in their networks. Most of the time they dictate that seeders upload as much as possible. With this approach, seeders can easily be abused by free-riders. It gets even worse when we realize that for lack of a good infrastructure a lawful user may become a free-rider unknowingly. The purpose of this paper is to address this problem by suggesting a novel and universal method that can be implemented in current P2P networks. -
Copyright Infringement (DMCA)
Copyright Infringement (DMCA) Why it is important to understand the DMCA: Kent State University (KSU) is receiving more and more copyright infringement notices every semester, risking the loss of ‘safe harbor’ status. Resident students, KSU faculty, staff, and student employees, and the University itself could be at risk of costly litigation, expensive fines, damage to reputation, and possible jail time. What you need to know about KSU’s role: ● KSU is not a policing organization. ● KSU does not actively monitor computing behavior. ● KSU reacts to infringement notices generated by agents of the copyright holders ● KSU expends a significant amount of time/money protecting the identity of students by maintaining ‘safe harbor’ status KSU is ‘the good guy’ – we’re focused on educating our community What you need to know if your student receives a copyright infringement notice: They were identified as using P2P software and illegally sharing copyrighted material (whether downloading to their computer or allowing others to download from their computer). They will be informed of the notice via email, and their network connection to external resources (sites outside of KSU) will be disabled to maintain ‘safe harbor’ status until such time as they have complied with the University’s requirements under the DMCA. They can face sanctions ranging from blocked connectivity to dismissal from the University. Definition of terms: DMCA: The Digital Millennium Copyright Act of 1998 was signed into law in the United States to protect the intellectual property rights of copyright holders of electronic media (music, movies, software, games, etc.). The DMCA allows KSU to operate as an OSP. -
P2P File Sharing P2P File Sharing
P2P File Sharing P2P file sharing Alice chooses one of the peers, Bob. File is copied from Bob’s PC to Example Alice’s notebook: HTTP Alice runs P2P client While Alice downloads, other application on her notebook users uploading from Alice. computer Alice’s peer is both a Web client Intermittently connects to and a transient Web server. Internet; gets new IP address All peers are servers = highly for each connection scalable! Asks for “Hey Jude” Application displays other peers that have copy of Hey Jude. P2P: centralized directory (Napster’s Approach) Bob centralized directory server original “Napster” design 1 1) when peer connects, it peers 1 informs central server: IP address 1 3 content 2 1 2) Alice queries for “Hey Jude” 3) Alice requests file from Alice Bob P2P: problems with centralized directory file transfer is Single point of failure decentralized, but locating content is Performance highly decentralized bottleneck Copyright infringement Query flooding: Gnutella overlay network: graph edge between peer X fully distributed and Y if there’s a TCP no central server connection public domain all active peers and protocol edges is overlay net many Gnutella clients Edge is not a physical implementing protocol link Given peer will typically be connected with < 10 overlay neighbors Gnutella: protocol Ì File transfer: Query message HTTP sent over existing TCP connections Query Ì peers forward QueryHit Query message Ì QueryHit sent over reverse Query path QueryHit Scalability: limited scope flooding Gnutella: Peer joining 1. Joining peer X must find some other peer in Gnutella network: use list of candidate peers 2. -
Compsci 514: Computer Networks Lecture 21-2: from Bittorrent to Bittyrant Problem Statement
CompSci 514: Computer Networks Lecture 21-2: From BitTorrent to BitTyrant Problem Statement ... Server • One-to-many content distribution – Millions of clients downloading from the same server Evolving Solutions • Observation: duplicate copies of data are sent • Solutions – IP multicast – End system multicast – Content distribution networks e.g. Akamai – P2P cooperative content distribution • Bittorrent etc. IP multicast • End systems join a multicast group • Routers set up a multicast tree • Packets are duplicated and forwarded to multiple next hops at routers • Multicast pros and cons End system multicast • End systems rather than routers organize into a tree, forward and duplicate packets • Pros and cons Content distribution networks • Akamai – Works well but expensive, requires infrastructure support Peer-to-Peer Cooperative Content Distribution u Use the client’s uplink bandwidth u New problem: incentives for cooperation or how to motivate clients to upload The Gnutella approach u All nodes are true peers u A peer is the publisher, the uploader and the downloader. u No single point of failure. u Efficiency and scalability issue: u File searches span across a large number of nodes generating lots of traffic. u Integrity, i.e.content pollution issue: u Anyone can claim that he publishes valid content u No guarantee of quality of objects u Incentive issue: u No incentives for cooperation (free-riding in Gnutella) Outline u Problem of Content Distribution u The BitTorrent approach u BitTyrant BitTorrent overview Tracker 1 2 3 Leecher A Seeder Leecher C Leecher B u File is divided into chunks (e.g. 256KB) uShA1 hashes of all the pieces are included in the .torrent file for integrity check uA chunk is divided into sub-pieces to improve efficiency u Seeders have all chunks of the file u Leechers have some or no chunks of the file BitTorrent overview Tracker 1 2 3 Leecher A Seeder Leecher C Leecher B u File is divided into chunks (e.g. -
Exploiting Bittorrent for Fun (But Not Profit)
Exploiting BitTorrent For Fun (But Not Profit) Nikitas Liogkas, Robert Nelson, Eddie Kohler, and Lixia Zhang University of California, Los Angeles fnikitas, rlnelson, kohler, [email protected] ABSTRACT the file can be downloaded from different peers. A meta- This paper assesses BitTorrent’s robustness against selfish peers, data file is associated with every download. This file con- who try to download more than their fair share by abusing existing tains information necessary for the download process, in- protocol mechanisms. We design and implement three selfish-peer cluding the number of pieces and hashes for all the pieces; exploits and evaluate their effectiveness on public and private tor- the hashes are used by peers to verify that a piece has been rents. In practice, BitTorrent appears quite robust against this kind received correctly. This metadata file is typically created by of exploit: selfish peers can sometimes obtain more bandwidth, and the content provider, who must also launch at least one client honest peers’ download rates suffer slightly in consequence, but we offering the entire file for download. In order to join the observe no considerable degradation of the system’s quality of ser- download process, a client retrieves the metadata file out of vice. We identify private-torrent scenarios in which a selfish peer band, usually either from a well-known website or by email. could benefit more significantly at the expense of honest peers, and It then contacts the tracker, a centralized component that discuss the BitTorrent protocol mechanisms that lead to robustness by rendering these scenarios infeasible. keeps track of all the peers participating in the download. -
Searching for Malware in Bittorrent∗
Searching for Malware in BitTorrent∗ Andrew D. Berns and Eunjin (EJ) Jung April 24, 2008 Abstract One of the most widely publicized aspects of computer security has been the presence and propagation of malware. Malware has adapted to many different changing technologies, in- cluding recently-popular P2P systems. While previous work has examined P2P networks and protocols like KaZaA and Gnutella for malware, little has been done so far that examines BitTor- rent. This project explored BitTorrent for the presence of malware, and discovered a significant portion of malware in the downloaded file set. Statistics on torrents infected with malware were gathered and analyzed to find patterns that are helpful in creating basic filtering heuristics. While these heuristics may work in simple cases, several easy ways they can be defeated were found. 1 Introduction Recently, peer-to-peer networks have emerged as a popular paradigm for Internet applications. In fact, a study in 2005 estimated that P2P traffic accounted for around 70% of all traffic on the Internet [2]. P2P technology is finding new applications as it grows, including voice-over-IP systems and streaming video delivery. While P2P has found several different uses, perhaps the most widely-known use is for file sharing. One concern with P2P file sharing is that it can be used to distribute malware (malicious software, such as worms, viruses, and rootkits). On the one hand, users have access to huge amounts of data, while on the other hand, this data can easily be tainted with viruses, worms, and other forms of malware. An important consideration, then, is if the concern about malware in P2P networks is warranted, and if it is, are there ways to protect a computer and minimize the risk of malware infection from P2P networks. -
Peer-To-Peer Networking
Peer-to-Peer Networking Case Study: BitTorrent Lecture Content BitTorrent (protocol version 1.0) File transfer protocol Novel techniques for distributing content P2P system studied further The original design Later enchantments are not discussed here BitTorrent (BT) BT is a file transfer protocol for content distribution Protocol specifications v1.0 studied here A centralised P2P system (compare to Napster) A tracker server managing users© downloads BitTorrent concentrates on efficient file transfer Searching content is not provided by the protocol specification, but out-of-band methods Addresses the free riding problem in P2P file sharing BT Terminology (1/3) Torrent Set of peers cooperating to download the same content using BT protocol Tracker Centralised server keeping track of current participants. Does not involve to data transfers, but collect statistics Pieces and blocks File is cut into fixed size pieces (typically 256 KB) and pieces are further cut into blocks (transfer unit, 16 KB) BT Terminology (2/3) Metainfo file, or .torrent file Contains information about the file, its length, name and the address and port of the tracker Hashes for pieces of files for verification Interested and Choked A is marked as interested in peer B when B has pieces that A wants, and vice versa. Also, A is choked, when B decides not to upload data when A is interested. When B is willing to upload again, A is unchoked. BT Terminology (3/3) Peer set or a swarm The group of machines that are collectively connected for a particular file, i.e. a list of open TCP connections Leecher and seed Leecher is a peer that is still downloading the pieces. -
Is Content Publishing in Bittorrent Altruistic Or Profit-Driven
Is Content Publishing in BitTorrent Altruistic or Profit-Driven? Ruben Cuevas Michal Kryczka Angel Cuevas Univ. Carlos III de Madrid Institute IMDEA Networks and Univ. Carlos III de Madrid [email protected] Univ. Carlos III de Madrid [email protected] [email protected] Sebastian Kaune Carmen Guerrero Reza Rejaie TU Darmstadt Univ. Carlos III de Madrid University of Oregon [email protected] [email protected] [email protected] ABSTRACT ity [9, 15, 12] and improving its performance [18, 14]. BitTorrent is the most popular P2P content delivery appli- Moreover, some few papers have analyzed the demo- cation where individual users share various type of content graphics of BitTorrent [21, 11, 19] and also the secu- with tens of thousands of other users. The growing popular- rity [20] and privacy issues [6, 7]. However, the socio- ity of BitTorrent is primarily due to the availability of valu- economic aspects associated to BitTorrent in particular, able content without any cost for the consumers. However, and to other P2P file sharing systems in general, have apart from required resources, publishing (sharing) valuable received little attention despite of the importance that (and often copyrighted) content has serious legal implica- they have to the complete understanding of such kind of tions for user who publish the material (or publishers). This applications. This paper is a first step in this direction. raises a question that whether (at least major) content pub- The availability of free popular (often copyrighted) lishers behave in an altruistic fashion or have other incen- content that is of interest to millions of people (e.g.