CS 552 Peer 2 Peer Networking
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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. -
IPFS and Friends: a Qualitative Comparison of Next Generation Peer-To-Peer Data Networks Erik Daniel and Florian Tschorsch
1 IPFS and Friends: A Qualitative Comparison of Next Generation Peer-to-Peer Data Networks Erik Daniel and Florian Tschorsch Abstract—Decentralized, distributed storage offers a way to types of files [1]. Napster and Gnutella marked the beginning reduce the impact of data silos as often fostered by centralized and were followed by many other P2P networks focusing on cloud storage. While the intentions of this trend are not new, the specialized application areas or novel network structures. For topic gained traction due to technological advancements, most notably blockchain networks. As a consequence, we observe that example, Freenet [2] realizes anonymous storage and retrieval. a new generation of peer-to-peer data networks emerges. In this Chord [3], CAN [4], and Pastry [5] provide protocols to survey paper, we therefore provide a technical overview of the maintain a structured overlay network topology. In particular, next generation data networks. We use select data networks to BitTorrent [6] received a lot of attention from both users and introduce general concepts and to emphasize new developments. the research community. BitTorrent introduced an incentive Specifically, we provide a deeper outline of the Interplanetary File System and a general overview of Swarm, the Hypercore Pro- mechanism to achieve Pareto efficiency, trying to improve tocol, SAFE, Storj, and Arweave. We identify common building network utilization achieving a higher level of robustness. We blocks and provide a qualitative comparison. From the overview, consider networks such as Napster, Gnutella, Freenet, BitTor- we derive future challenges and research goals concerning data rent, and many more as first generation P2P data networks, networks. -
Privacy Enhancing Technologies 2003 an Analysis of Gnunet And
Privacy Enhancing Technologies 2003 An Analysis of GNUnet and the Implications for Anonymous, Censorship-Resistant Networks Dennis Kügler Federal Office for Information Security, Germany [email protected] 1 Anonymous, Censorship-Resistant Networks • Anonymous Peer-to-Peer Networks – Gnutella • Searching is relatively anonymous • Downloading is not anonymous • Censorship-Resistant Networks – Eternity Service • Distributed storage medium • Attack resistant • Anonymous, Censorship-Resistant Networks – Freenet – GNUnet 2 GNUnet: Obfuscated, Distributed Filesystem Content Hash Key: [H(B),H(E (B))] • H(B) – Content encryption: H(B) – Unambiguous filename: H(E (B)) H(B) • Content replication – Caching while delivering – Based on unambiguous filename • Searchability – Keywords 3 GNUnet: Peer-to-Peer MIX Network • Initiating node – Downloads content • Supplying nodes – Store content unencrypted • Intermediary nodes – Forward and cache encrypted content – Plausible deniability due to encryption • Economic model – Based on credit Query A Priority=20 B – Charge for queries c =c -20 B B - – Pay for responses 4 GNUnet Encoding • DBlocks DBlock DBlock ... DBlock – 1KB of the content – Content hash encrypted • IBlocks IBlock ... IBlock – CHKs of 25 DBlocks – Organized as tree – Content hash encrypted IBlock • RBlock – Description of the content – CHK of the root IBlock RBlock – Keyword encrypted 5 The Attacker Model • Attacker – Controls malicious nodes that behave correctly – Prepares dictionary of interesting keywords – Observes queries and -
Scalable Supernode Selection in Peer-To-Peer Overlay Networks∗
Scalable Supernode Selection in Peer-to-Peer Overlay Networks∗ Virginia Lo, Dayi Zhou, Yuhong Liu, Chris GauthierDickey, and Jun Li {lo|dayizhou|liuyh|chrisg|lijun} @cs.uoregon.edu Network Research Group – University of Oregon Abstract ically fulfill additional requirements such as load bal- ance, resources, access, and fault tolerance. We define a problem called the supernode selection The supernode selection problem is highly challeng- problem which has emerged across a variety of peer-to- ing because in the peer-to-peer environment, a large peer applications. Supernode selection involves selec- number of supernodes must be selected from a huge tion of a subset of the peers to serve a special role. The and dynamically changing network in which neither the supernodes must be well-dispersed throughout the peer- node characteristics nor the network topology are known to-peer overlay network, and must fulfill additional re- a priori. Thus, simple strategies such as random selec- quirements such as load balance, resource needs, adapt- tion don’t work. Supernode selection is more complex ability to churn, and heterogeneity. While similar to than classic dominating set and p-centers from graph dominating set and p-centers problems, the supernode theory, known to be NP-hard problems, because it must selection problem must meet the additional challenge respond to dynamic joins and leaves (churn), operate of operating within a huge, unknown and dynamically among potentially malicious nodes, and function in an changing network. We describe three generic super- environment that is highly heterogeneous. node selection protocols we have developed for peer-to- Supernode selection shows up in many peer-to-peer peer environments: a label-based scheme for structured and networking applications. -
CS505: Distributed Systems
Cristina Nita-Rotaru CS505: Distributed Systems Lookup services. Chord. CAN. Pastry. Kademlia. Required Reading } I. Stoica, R. Morris, D. Karger, M. F. Kaashoek, H. Balakrishnan, Chord: A Scalable Peer-to-peer Lookup Service for Internet Applications, SIGCOMM 2001. } A Scalable Content-Addressable Network S.a Ratnasamy, P. Francis, M. Handley, R. Karp, S. Shenker, SIGCOMM 2001 } A. Rowstron and P. Druschel. "Pastry: Scalable, decentralized object location and routing for large-scale peer-to-peer systems". IFIP/ACM International Conference on Distributed Systems Platforms (Middleware), 2001 } Kademlia: A Peer-to-peer Information System Based on the XOR Metric. P. Maymounkov and D. Mazieres, IPTPS '02 2 DHTs 1: Lookup services Peer-to-Peer (P2P) Systems } Applications that take advantage of resources (storage, cycles, content, human presence) available at the edges of the Internet. } Characteristics: } System consists of clients connected through Internet and acting as peers } System is designed to work in the presence of variable connectivity } Nodes at the edges of the network have significant autonomy; no centralized control } Nodes are symmetric in function 4 DHTs Benefits of P2P and Applications } High capacity: all clients provide resources (bandwidth, storage space, and computing power). The capacity of the system increases as more nodes become part of the system. } Increased reliability: achieved by replicating data over multiple peers, and by enabling peers to find the data without relying on a centralized index server. } Applications: -
Practical Anonymous Networking?
gap – practical anonymous networking? Krista Bennett Christian Grothoff S3 lab and CERIAS, Department of Computer Sciences, Purdue University [email protected], [email protected] http://www.gnu.org/software/GNUnet/ Abstract. This paper describes how anonymity is achieved in gnunet, a framework for anonymous distributed and secure networking. The main focus of this work is gap, a simple protocol for anonymous transfer of data which can achieve better anonymity guarantees than many traditional indirection schemes and is additionally more efficient. gap is based on a new perspective on how to achieve anonymity. Based on this new perspective it is possible to relax the requirements stated in traditional indirection schemes, allowing individual nodes to balance anonymity with efficiency according to their specific needs. 1 Introduction In this paper, we present the anonymity aspect of gnunet, a framework for secure peer-to-peer networking. The gnunet framework provides peer discovery, link encryption and message-batching. At present, gnunet’s primary application is anonymous file-sharing. The anonymous file-sharing application uses a content encoding scheme that breaks files into 1k blocks as described in [1]. The 1k blocks are transmitted using gnunet’s anonymity protocol, gap. This paper describes gap and how it attempts to achieve privacy and scalability in an environment with malicious peers and actively participating adversaries. The gnunet core API offers node discovery, authentication and encryption services. All communication between nodes in the network is confidential; no host outside the network can observe the actual contents of the data that flows through the network. Even the type of the data cannot be observed, as all packets are padded to have identical size. -
Zeronet Presentation
ZeroNet Decentralized web platform using Bitcoin cryptography and BitTorrent network. ABOUT ZERONET Why? Current features We believe in open, free, and ◦ Real-time updated sites uncensored network and communication. ◦ Namecoin .bit domain support ◦ No hosting costs ◦ Multi-user sites Sites are served by visitors. ◦ Password less, Bitcoin's BIP32- ◦ Impossible to shut down based authorization It's nowhere because it's ◦ Built-in SQL server with P2P data everywhere. synchronization ◦ No single point of failure ◦ Tor network support Site remains online so long as at least 1 peer serving it. ◦ Works in any browser/OS ◦ Fast and works offline You can access the site even if your internet is unavailable. HOW DOES IT WORK? THE BASICS OF ASYMMETRIC CRYPTOGRAPHY When you create a new site you get two keys: Private key Public key 5JNiiGspzqt8sC8FM54FMr53U9XvLVh8Waz6YYDK69gG6hso9xu 16YsjZK9nweXyy3vNQQPKT8tfjCNjEX9JM ◦ Only you have it ◦ This is your site address ◦ Allows you to sign new content for ◦ Using this anyone can verify if the your site. file is created by the site owner. ◦ No central registry ◦ Every downloaded file is verified, It never leaves your computer. makes it safe from malicious code inserts or any modifications. ◦ Impossible to modify your site without it. MORE INFO ABOUT CRYPTOGRAPHY OF ZERONET ◦ ZeroNet uses the same elliptic curve based encryption as in your Bitcoin wallet. ◦ You can accept payments directly to your site address. ◦ Using the current fastest supercomputer, it would take around 1 billion years to "hack" a private key. WHAT HAPPENS WHEN YOU VISIT A ZERONET SITE? WHAT HAPPENS WHEN YOU VISIT A ZERONET SITE? (1/2) 1 Gathering visitors IP addresses: Please send some IP addresses for site 1EU1tbG9oC1A8jz2ouVwGZyQ5asrNsE4Vr OK, Here are some: 12.34.56.78:13433, 42.42.42.42:13411, .. -
Free Riding on Gnutella
Free Riding on Gnutella Eytan Adar and Bernardo A. Huberman Internet Ecologies Area Xerox Palo Alto Research Center Palo Alto, CA 94304 Abstract An extensive analysis of user traffic on Gnutella shows a significant amount of free riding in the system. By sampling messages on the Gnutella network over a 24-hour period, we established that nearly 70% of Gnutella users share no files, and nearly 50% of all responses are returned by the top 1% of sharing hosts. Furthermore, we found out that free riding is distributed evenly between domains, so that no one group contributes significantly more than others, and that peers that volunteer to share files are not necessarily those who have desirable ones. We argue that free riding leads to degradation of the system performance and adds vulnerability to the system. If this trend continues copyright issues might become moot compared to the possible collapse of such systems. 1 1. Introduction The sudden appearance of new forms of network applications such as Gnutella [Gn00a] and FreeNet [Fr00], holds promise for the emergence of fully distributed information sharing systems. These systems, inspired by Napster [Na00], will allow users worldwide access and provision of information while enjoying a level of privacy not possible in the present client-server architecture of the web. While a lot of attention has been focused on the issue of free access to music and the violation of copyright laws through these systems, there remains an additional problem of securing enough cooperation in such large and anonymous systems so they become truly useful. Since users are not monitored as to who makes their files available to the rest of the network (produce) or downloads remote files (consume), nor are statistics maintained, the possibility exist that as the user community in such networks gets large, users will stop producing and only consume. -
Title: P2P Networks for Content Sharing
Title: P2P Networks for Content Sharing Authors: Choon Hoong Ding, Sarana Nutanong, and Rajkumar Buyya Grid Computing and Distributed Systems Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia (chd, sarana, raj)@cs.mu.oz.au ABSTRACT Peer-to-peer (P2P) technologies have been widely used for content sharing, popularly called “file-swapping” networks. This chapter gives a broad overview of content sharing P2P technologies. It starts with the fundamental concept of P2P computing followed by the analysis of network topologies used in peer-to-peer systems. Next, three milestone peer-to-peer technologies: Napster, Gnutella, and Fasttrack are explored in details, and they are finally concluded with the comparison table in the last section. 1. INTRODUCTION Peer-to-peer (P2P) content sharing has been an astonishingly successful P2P application on the Internet. P2P has gained tremendous public attention from Napster, the system supporting music sharing on the Web. It is a new emerging, interesting research technology and a promising product base. Intel P2P working group gave the definition of P2P as "The sharing of computer resources and services by direct exchange between systems". This thus gives P2P systems two main key characteristics: • Scalability: there is no algorithmic, or technical limitation of the size of the system, e.g. the complexity of the system should be somewhat constant regardless of number of nodes in the system. • Reliability: The malfunction on any given node will not effect the whole system (or maybe even any other nodes). File sharing network like Gnutella is a good example of scalability and reliability. -
Escaping the Ossification Trap with Gnunet
Escaping the Ossification Trap with GNUnet Christian Grothoff BFH & The GNU Project 25.1.2018 \We shape our tools, and thereafter our tools shape us". {John Culkin What can be done? I Democracies are slow ) Effective regulation of mega-corporations exists only under dictatorships Dictatorship or Corpocracy? Regulation? I Charles Stross (@34c4) warns: Companies are AIs that develop faster than the law I Julia Reda (@IGF) warns: Regulation of platforms paradoxically can give them more power Regulation? I Charles Stross (@34c4) warns: Companies are AIs that develop faster than the law I Julia Reda (@IGF) warns: Regulation of platforms paradoxically can give them more power I Democracies are slow ) Effective regulation of mega-corporations exists only under dictatorships Dictatorship or Corpocracy? Better Technology! Data protection! Decentralization! Self-Organization! Technological impact assessment!1 1Difficult, but better than design-by-buzzword! Technological impact assessment case-study: Name systems DNS/DNSSEC DNS Server Root Zone a.root-servers.net. www.example.com? a.gtld-servers.net.test E2D3C9.... DNSSEC Trust Anchor NS . S4LXnQiBS... 49AAC1... DS RRSIG www.example.com? Recursive DNS Server Stub www.example.com? Name .com Resolver Server NS a.gtld-servers.net.test a.gtld-servers.net. A 93.184.216.119 DS 3490A6.... RRSIG example.com. K0rp9n... RRSIG com. U/ZW6P3c... AD www.example.com? RRSIG A 93.184.216.119 example.com. K0rp9n... DNS Server example.com a.iana-servers.net. RAINS Authority Server Root Zone 44 ) com ZK ; :registry www.example.com? -
1 Explain How Freenet Enables Individuals to Publish Anonymous Web Pages That Are Extremely Difficult to Censor. Does This Mean
Explain how FreeNet enables individuals to publish anonymous web pages that are extremely difficult to censor. Does this mean that the battle against state censorship in oppressive regimes has been won? Abstract Anonymity is a necessity for free speech, without it democracy cannot exist. Ensuring that anonymity has been hard to do online, however Freenet is a novel attempt to ensure anonymity. By encrypting and fragmenting documents which are stored on multiple nodes, and ensuring that nodes can only talk to a small subset, rather than a whole network, an individual’s anonymity becomes stronger. While Freenet does not make it impossible to trace what someone has downloaded, it does make it much harder. Freenet is a big step towards enabling people living in countries with oppressive governments to voice their views. Why is Anonymity important? The first amendment in the United States constitution is arguably one of the most important, and most controversial articles of law. It states that individuals have the right to free speech, free from persecution. Democracy is based on individuals electing representatives, based on their performance and what they say they will do. If freedom of speech is denied, then it is not possible for anyone to critique the government, and evaluate whether they are truly carrying out their responsibilities, or whether another party would be more appropriate. Indeed, without free speech, it is 1 impossible for other parties to exist, as their views will inevitably contradict that of the current government in power. Free speech can be ensured by anonymity. If an oppressive government does not know who is criticizing it, then it cannot punish the individual. -
The Potential Harms of the Tor Anonymity Network Cluster Disproportionately in Free Countries
The potential harms of the Tor anonymity network cluster disproportionately in free countries Eric Jardinea,1,2, Andrew M. Lindnerb,1, and Gareth Owensonc,1 aDepartment of Political Science, Virginia Tech, Blacksburg, VA 24061; bDepartment of Sociology, Skidmore College, Saratoga Springs, NY 12866; and cCyber Espion Ltd, Portsmouth PO2 0TP, United Kingdom Edited by Douglas S. Massey, Princeton University, Princeton, NJ, and approved October 23, 2020 (received for review June 10, 2020) The Tor anonymity network allows users to protect their privacy However, substantial evidence has shown that the preponder- and circumvent censorship restrictions but also shields those ance of Onion/Hidden Services traffic connects to illicit sites (7). distributing child abuse content, selling or buying illicit drugs, or With this important caveat in mind, our data also show that the sharing malware online. Using data collected from Tor entry distribution of potentially harmful and beneficial uses is uneven, nodes, we provide an estimation of the proportion of Tor network clustering predominantly in politically free regimes. In particular, users that likely employ the network in putatively good or bad the average rate of likely malicious use of Tor in our data for ways. Overall, on an average country/day, ∼6.7% of Tor network countries coded by Freedom House as “not free” is just 4.8%. In users connect to Onion/Hidden Services that are disproportion- countries coded as “free,” the percentage of users visiting Onion/ ately used for illicit purposes. We also show that the likely balance Hidden Services as a proportion of total daily Tor use is nearly of beneficial and malicious use of Tor is unevenly spread globally twice as much or ∼7.8%.