The Wealth of Networks How Social Production Transforms Markets and Freedom
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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. -
Diapositiva 1
TRANSFERENCIA O DISTRIBUCIÓN DE ARCHIVOS ENTRE IGUALES (peer-to-peer) Características, Protocolos, Software, Luis Villalta Márquez Configuración Peer-to-peer Una red peer-to-peer, red de pares, red entre iguales, red entre pares o red punto a punto (P2P, por sus siglas en inglés) es una red de computadoras en la que todos o algunos aspectos funcionan sin clientes ni servidores fijos, sino una serie de nodos que se comportan como iguales entre sí. Es decir, actúan simultáneamente como clientes y servidores respecto a los demás nodos de la red. Las redes P2P permiten el intercambio directo de información, en cualquier formato, entre los ordenadores interconectados. Peer-to-peer Normalmente este tipo de redes se implementan como redes superpuestas construidas en la capa de aplicación de redes públicas como Internet. El hecho de que sirvan para compartir e intercambiar información de forma directa entre dos o más usuarios ha propiciado que parte de los usuarios lo utilicen para intercambiar archivos cuyo contenido está sujeto a las leyes de copyright, lo que ha generado una gran polémica entre defensores y detractores de estos sistemas. Las redes peer-to-peer aprovechan, administran y optimizan el uso del ancho de banda de los demás usuarios de la red por medio de la conectividad entre los mismos, y obtienen así más rendimiento en las conexiones y transferencias que con algunos métodos centralizados convencionales, donde una cantidad relativamente pequeña de servidores provee el total del ancho de banda y recursos compartidos para un servicio o aplicación. Peer-to-peer Dichas redes son útiles para diversos propósitos. -
A Study of Peer-To-Peer Systems
A Study of Peer-to-Peer Systems JIA, Lu A Thesis Submitted in Partial Fulfilment of the Requirements for the Degree of Master of Philosophy in Information Engineering The Chinese University of Hong Kong August 2009 Abstract of thesis entitled: A Study of Peer-to-Peer Systems Submitted by JIA, Lu for the degree of Master of Philosophy at The Chinese University of Hong Kong in June 2009 Peer-to-peer (P2P) systems have evolved rapidly and become immensely popular in Internet. Users in P2P systems can share resources with each other and in this way the server loading is reduced. P2P systems' good performance and scalability attract a lot of interest in the research community as well as in industry. Yet, P2P systems are very complicated systems. Building a P2P system requires carefully and repeatedly thinking and ex- amining architectural design issues. Instead of setting foot in all aspects of designing a P2P system, this thesis focuses on two things: analyzing reliability and performance of different tracker designs and studying a large-scale P2P file sharing system, Xun- lei. The "tracker" of a P2P system is used to lookup which peers hold (or partially hold) a given object. There are various designs for the tracker function, from a single-server tracker, to DHT- based (distributed hash table) serverless systems. In the first part of this thesis, we classify the different tracker designs, dis- cuss the different considerations for these designs, and provide simple models to evaluate the reliability of these designs. Xunlei is a new proprietary P2P file sharing protocol that has become very popular in China. -
Compilefordebian - Mldonkey
CompileForDebian - MLDonkey http://mldonkey.sourceforge.net/CompileForDebian CompileForDebian From MLDonkey Contents 1 with CVS 1.1 Add a system user to run the binary 1.2 login as that user 1.3 compile the source 1.4 starting the core 1.5 configuring the core for remote access 1.6 and done! :-) 2 without CVS 2.1 enter to the remote machine 2.2 Add a system user to run mlnet 2.3 Dowlaod and Compile the source 2.4 mlnet daemon 2.5 start and stop the core to create default config 2.6 configuring the core for remote access 2.7 Done =) 3 with the Debian "unstable" package 3.1 Configure the system 3.2 Compile the source 3.3 Install the packages with CVS This procedure describes how I set up the core on my debian woody server. I hope it will be of use for you as well. Please correct mistakes! :) On the remote machine: Add a system user to run the binary as root: adduser mlnet login as that user su - mlnet on the same machine you ran adduser from or "ssh remote-host -lmlnet" from another computer compile the source 1 de 6 07/05/2008 01:32 p.m. CompileForDebian - MLDonkey http://mldonkey.sourceforge.net/CompileForDebian cvs "method": export CVS_RSH="ssh" cvs checkout: cvs -d:pserver:[email protected]:/sources/mldonkey co -P mldonkey also see HowToUseCvs and [savannah (http://savannah.nongnu.org/cvs/?group=mldonkey) ] configure will now automatically download ocaml and compile it of course you can also install the debian packages for ocaml. -
Configurer Les Ports Emule Ou Mldonkey Pour Un Routeur Linux
Configurer les ports eMule ou mlDonkey pour un routeur Linux Stephane´ Bortzmeyer <[email protected]> Premiere` redaction´ de cet article le 2 aoutˆ 2007. Derniere` mise a` jour le 8 aoutˆ 2007 https://www.bortzmeyer.org/emule-ports-linux.html —————————- Le logiciel de partage de fichiers eMule, s’il n’est pas contactable par d’autres utilisateurs depuis l’exterieur,´ rend un service degrad´ e.´ Comment le rendre contactable si le routeur est une machine Linux? On sait que le NAT est une source d’ennuis sans fin, notamment pour les applications pair a` pair. Sa presence´ necessite´ beaucoup de bricolages comme ici, ou` nous allons faire du ”port fowarding”, c’est-a-` dire relayer les paquets IP depuis un pair vers notre client eMule ou mlDonkey, via un routeur Linux. Le cas d’un routeur Linux n’est pas actuellement documente´ en <http://www.emule-project. net/home/perl/help.cgi?l=1&rm=show_entries&cat_id=251> mais, par contre, il y a un exemple dans l’excellente documentation de mlDonkey <http://mldonkey.sourceforge.net/WhatFirewallPortsToOpen>. Mais c’est de toute fac¸on assez simple. Il faut commencer par connaˆıtre les ports utilises.´ eMule en change desormais,´ pour passer les filtrages. Allez dans Pref´ erences´ puis Connexion et regardez ”Port client”. Notez la valeur pour le port TCP et le port UDP. Pour mlDonkey, on peut utiliser la commande portinfo de la console : > portinfo --Portinfo-- Network | Port|Type ----------+------+------------------- BitTorrent| 6882|client_port TCP BitTorrent| 6881|tracker_port TCP Core | 4080|http_port Core | 4000|telnet_port Core | 4001|gui_port Donkey | 4550|client_port TCP Donkey | 4554|client_port UDP Donkey | 18703|overnet_port TCP+UDP Donkey | 10349|kademlia_port UDP G2 | 6347|client_port TCP+UDP Gnutella | 6346|client_port TCP+UDP 1 2 ou bien un tres` bon script bash <http://mldonkey.sourceforge.net/BashScriptToFindPortsUsed>. -
Study of Peer-To-Peer Network Based Cybercrime Investigation: Application on Botnet Technologies
Study of Peer-to-Peer Network Based Cybercrime Investigation: Application on Botnet Technologies by Mark Scanlon, B.A. (Hons.), M.Sc. A thesis submitted to University College Dublin for the degree of Ph.D. in the College of Science October 2013 School of Computer Science and Informatics Mr. John Dunnion, M.Sc. (Head of School) Under the supervision of Prof. M-Tahar Kechadi, Ph.D. DEDICATION This thesis is dedicated to my wife, Joanne, who has supported, encouraged and motivated me throughout the last nine years and has been especially patient and thoughtful throughout my research. This thesis is also dedicated to my parents, Philomena and Larry Scanlon. i CONTENTS Acknowledgements viii List of Tables ix List of Figures x List of Abbreviations xiii Abstract xvii List of Publications xix 1 Introduction 1 1.1 Background . 1 1.2 Research Problem . 2 1.3 Contribution of this Work . 4 1.4 Limitations of this Work . 5 1.5 Structure of the Thesis . 5 2 Digital Forensic Investigation; State of the art 7 2.1 Introduction . 7 2.2 Computer Forensic Investigation . 8 2.2.1 Network Forensic Investigation . 9 2.3 Network Investigation Tools . 10 2.3.1 TCPDump/WinDump . 10 2.3.2 Ethereal . 11 ii 2.3.3 Network Forensic Analysis Tools . 12 2.3.4 Security Incident and Event Manager Software . 12 2.4 Packet Inspection Hardware . 12 2.5 Evidence Storage Formats . 13 2.5.1 Common Digital Evidence Storage Format . 14 2.5.2 Raw Format . 14 2.5.3 Advanced Forensic Format . 15 2.5.4 Generic Forensic Zip . -
Public Peer-To-Peer Filesharing Networks’ Evaluation
PUBLIC PEER-TO-PEER FILESHARING NETWORKS’ EVALUATION J. Lloret Mauri1, B. Molina Moreno2, C. Palau Salvador3, M. Esteve Domingo4 Department of Communications, Polytechnic University of Valencia Camino Vera s/n, Valencia, Spain [email protected], [email protected], [email protected], [email protected] ABSTRACT • Download speed: some internal P2P network, due to Since the recent appearance of P2P file-sharing networks, its internal behaviour, are optimal for downloading many Internet users have chosen this technology to search files of reduced size. Others, however, use for programs, films, songs, etc. Their number of users is multisplitting mechanisms and permit the download growing every day due to the attractive and interesting from multiple sources, making them suitable for content type that can be found and downloaded over these obtaining larger files. networks. In this article six public architectures are analyzed, Gnutella, FastTrack, Opennap, Edonkey, MP2P These parameters are responsible for an architecture and Soulseek, tracking their evolution during a week in becoming very popular or, on the other hand, terms of connected users, number of files and size of disappearing. The above factors can make a P2P network shared files per hour. The results will be compared and more attractive to users of a specific nation due to the discussed with previous measurements taken a year ago. utilization of a specific language or even social trends [7]. These data can be used to design new network models, to It is also interesting to distinguish between a P2P network calculate their performance or to optimize new network and P2P client, the development of which must not be parameters. -
Coopviz: Real Time Visualization of Bittorrent Swarm Dynamics
CoopViz: Real Time Visualization of BitTorrent Swarm Dynamics Stefano Barbieri CoopViz: Real Time Visualization of BitTorrent Swarm Dynamics Master’s Thesis in Computer Engineering Parallel and Distributed Systems group Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology Stefano Barbieri 3rd September 2009 Author Stefano Barbieri 1397052 [email protected] Title CoopViz: Real Time Visualization of BitTorrent Swarm Dynamics MSc presentation September 09, 2009 Graduation Committee dr. ir. D.H.J. Epema (chair) Faculty EEMCS, Delft University of Technology dr. ir. J. Pouwelse (University Supervisor) Faculty EEMCS, Delft University of Technology dr. ir. G. Gaydadjiev (Committee Member:) Faculty EEMCS, Delft University of Technology Abstract Peer to peer networks are only successful when a significant amount of users is willing to share their resources. In order to have highly efficient file sharing sys- tems, each user should upload to the other peers a number of bytes at least equal to the number of bytes he has downloaded from the community. Unfortunately many users show a selfish behavior, refusing to offer their upload bandwidth to other peers, thus limiting the efficiency of the networks. P2P clients implement different mechanisms in order to mitigate this misbehavior and improve cooperation; often, though, these policies are not enough to enforce altruism in peer-to-peer communi- ties. This thesis explores a new mean to stimulate users to give their fair contribu- tion to the P2P community; the final scope is to generate an emergent self-policing system where users take active part in determining the bandwidth allocation poli- cies. This is achieved by means of a graphical interface, CoopViz, that provides users with up-to-date insights into cooperative behavior of peers and allows the latter to vote on each other, showing their appreciation or disapproval. -
Distributed Hash Table - Wikipedia, the Free Encyclopedia Page 1 Sur 6
Distributed hash table - Wikipedia, the free encyclopedia Page 1 sur 6 Distributed hash table From Wikipedia, the free encyclopedia Distributed hash tables (DHTs) are a class of decentralized distributed systems that provide a lookup service similar to a hash table: (key, value) pairs are stored in the DHT, and any participating node can efficiently retrieve the value associated with a given key. Responsibility for maintaining the mapping from keys to values is distributed among the nodes, in such a way that a change in the set of participants causes a minimal amount of disruption. This allows DHTs to scale to extremely large numbers of nodes and to handle continual node arrivals, departures, and failures. DHTs form an infrastructure that can be used to build more complex services, such as distributed file systems, peer-to-peer file sharing and content distribution systems, cooperative web caching, multicast, anycast, domain name services, and instant messaging. Notable distributed networks that use DHTs include BitTorrent's distributed tracker, the eDonkey network, the Storm botnet, YaCy, and the Coral Content Distribution Network. Contents 1 History 2 Properties 3 Structure 3.1 Keyspace partitioning 3.2 Overlay network 3.3 Algorithms for overlay networks 4 Real world DHTs and their differences and improvements over basic schemes 5 Examples 5.1 DHT protocols and implementations 5.2 Applications employing DHTs 6 See also 7 References 8 External links History DHT research was originally motivated, in part, by peer-to-peer systems such as Napster, Gnutella, and Freenet, which took advantage of resources distributed across the Internet to provide a single useful application. -
Download Book
Lecture Notes in Computer Science 3279 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos New York University, NY, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany Geoffrey M. Voelker Scott Shenker (Eds.) Peer-to-Peer Systems III Third International Workshop, IPTPS 2004 La Jolla, CA, USA, February 26-27, 2004 Revised Selected Papers 13 Volume Editors Geoffrey M. Voelker University of California, San Diego Department of Computer Science and Engineering 9500 Gilman Dr., MC 0114, La Jolla, CA 92093-0114, USA E-mail: [email protected] Scott Shenker University of California, Berkeley Computer Science Division, EECS Department 683 Soda Hall, 1776, Berkeley, CA 94720, USA E-mail: [email protected] Library of Congress Control Number: Applied for CR Subject Classification (1998): C.2.4, C.2, H.3, H.4, D.4, F.2.2, E.1, D.2 ISSN 0302-9743 ISBN 3-540-24252-X Springer Berlin Heidelberg New York This work is subject to copyright. -
Classifying Illegal Activities on Tor Network Based on Web Textual Contents Mhd Wesam Al Nabki1,2, Eduardo Fidalgo1,2, Enrique Alegre1,2, and Ivan De Paz1,2
Classifying Illegal Activities on Tor Network Based on Web Textual Contents Mhd Wesam Al Nabki1,2, Eduardo Fidalgo1,2, Enrique Alegre1,2, and Ivan de Paz1,2 1Department of Electrical, Systems and Automation, University of Leon,´ Spain 2 Researcher at INCIBE (Spanish National Cybersecurity Institute), Leon,´ Spain mnab, eduardo.fidalgo, ealeg, ivan.paz.centeno @unileon.es { } Abstract indexed by the standard search engines, such as Google or Bing. However, despite their existence, The freedom of the Deep Web offers a there is still an enormous part of the web remained safe place where people can express them- without indexing due to its vast size and the lack selves anonymously but they also can of hyperlinks, i.e. not referenced by the other web conduct illegal activities. In this pa- pages. This part, that can not be found using a per, we present and make publicly avail- search engine, is known as Deep Web (Noor et 1 able a new dataset for Darknet active do- al., 2011; Boswell, 2016). Additionally, the con- mains, which we call it ”Darknet Usage tent might be locked and requires human interac- Text Addresses” (DUTA). We built DUTA tion to access e.g. to solve a CAPTCHA or to en- by sampling the Tor network during two ter a log-in credential to access. This type of web months and manually labeled each ad- pages is referred to as ”database-driven” websites. dress into 26 classes. Using DUTA, Moreover, the traditional search engines do not ex- we conducted a comparison between two amine the underneath layers of the web, and con- well-known text representation techniques sequently, do not reach the Deep Web. -
NAS 4.0 Adapter User Guide
T E C H N O L O G I E S User Guide NAS 4.0 Adapter (NAS40ESU) www.addonics.com Firmware v87a Technical Support If you need any assistance to get your unit functioning properly, please have your product information ready and contact Addonics Technical Support at: Hours: 8:30 am - 6:00 pm PST Phone: 408-453-6212 Email: http://www.addonics.com/support/query/ Overview Front View 1, 2. Storage Ports 3. Status LED 4. Power LED 5. Reset Button 6. Network Port 1 2 3 4 Back View 5 6 Power Supply Network Cable Storage Ports: eSATA (1.5Gbps) or USB (2.0). Each port supports one eSATA device and one or more USB based devices, up to 16 physical drives. Network Port: Supports 10/100/1000. Power LED: glows when unit is on. Status LED: glows steady when unit is idle, other states are dark or dim to indicate a problem, slow or fast blinking between dark and bright or dim and bright to indicate the unit is busy. www.addonics.com Technical Support (M-F 8:30am - 6:00pm PST) Phone: 408-453-6212 Email: www.addonics.com/support/query/ Installation Network Connection The NAS unit is factory configured for dynamic IP addressing (DHCP client). Connect the unit to a network (router or switch) where DHCP is supported. Static IP may be assigned later after initial setup. Storage The NAS unit does not support FIS switching for port multipliers, therefore any eSATA devices must be a single drive or a RAID array. Also, through the use of USB hubs, up to a total of 16 physical storage devices may be connected, also counting any eSATA drives.