Identifying P2P Heavy-Hitters from Network-Flow Data
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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. -
Looking up Data in P2p Systems
LOOKING UP DATA IN P2P SYSTEMS Hari Balakrishnan, M. Frans Kaashoek, David Karger, Robert Morris, Ion Stoica∗ MIT Laboratory for Computer Science 1. Introduction a good example of how the challenges of designing P2P systems The recent success of some widely deployed peer-to-peer (P2P) can be addressed. file sharing applications has sparked new research in this area. We The recent algorithms developed by several research groups for are interested in the P2P systems that have no centralized control the lookup problem present a simple and general interface, a dis- or hierarchical organization, where the software running at each tributed hash table (DHT). Data items are inserted in a DHT and node is equivalent in functionality. Because these completely de- found by specifying a unique key for that data. To implement a centralized systems have the potential to significantly change the DHT, the underlying algorithm must be able to determine which way large-scale distributed systems are built in the future, it seems node is responsible for storing the data associated with any given timely to review some of this recent research. key. To solve this problem, each node maintains information (e.g., The main challenge in P2P computing is to design and imple- the IP address) of a small number of other nodes (“neighbors”) in ment a robust distributed system composed of inexpensive com- the system, forming an overlay network and routing messages in puters in unrelated administrative domains. The participants in a the overlay to store and retrieve keys. typical P2P system might be home computers with cable modem One might believe from recent news items that P2P systems are or DSL links to the Internet, as well as computers in enterprises. -
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. -
Conducting and Optimizing Eclipse Attacks in the Kad Peer-To-Peer Network
Conducting and Optimizing Eclipse Attacks in the Kad Peer-to-Peer Network Michael Kohnen, Mike Leske, and Erwin P. Rathgeb University of Duisburg-Essen, Institute for Experimental Mathematics, Ellernstr. 29, 45326 Essen [email protected], [email protected], [email protected] Abstract. The Kad network is a structured P2P network used for file sharing. Research has proved that Sybil and Eclipse attacks have been possible in it until recently. However, the past attacks are prohibited by newly implemented secu- rity measures in the client applications. We present a new attack concept which overcomes the countermeasures and prove its practicability. Furthermore, we analyze the efficiency of our concept and identify the minimally required re- sources. Keywords: P2P security, Sybil attack, Eclipse attack, Kad. 1 Introduction and Related Work P2P networks form an overlay on top of the internet infrastructure. Nodes in a P2P network interact directly with each other, i.e., no central entity is required (at least in case of structured P2P networks). P2P networks have become increasingly popular mainly because file sharing networks use P2P technology. Several studies have shown that P2P traffic is responsible for a large share of the total internet traffic [1, 2]. While file sharing probably accounts for the largest part of the P2P traffic share, also other P2P applications exist which are widely used, e.g., Skype [3] for VoIP or Joost [4] for IPTV. The P2P paradigm is becoming more and more accepted also for professional and commercial applications (e.g., Microsoft Groove [5]), and therefore, P2P technology is one of the key components of the next generation internet. -
Services for Microsoft Onedrive for Business
Service Overview SERVICES FOR MICROSOFT ONEDRIVE FOR BUSINESS Simplify where workers go for content sharing and collaboration Business Challenge ESSENTIALS Dynamic teams are constantly collaborating, which means easily Dell Technologies Consulting Services can sharing personal and team documents is a must for todays’ help you gain the most from your OneDrive innovative workers. All too often organizations have multiple content for Business investment with: repositories without a single standard for the entire workforce which • Repeatable, mature methodologies can cause frustration and impact worker productivity. designed for delivery efficiency and Simplifying where your workers go to collaborate and share content quality accelerate content migrations can boost innovation, increase productivity and more importantly • Determining and delivering the optimal worker satisfaction. For organizations who have adopted Office 365, OneDrive client deployment model as OneDrive for Business is the logical choice. But how do you part of your Windows 10 and Office 365 efficiently migrate, retire and consolidate personal and team files ProPlus initiatives from overlapping content repositories to control costs? • Security and management tuning at the It’s easy with Dell Technologies Consulting Services. We are a Gold worker, device and application level Certified Microsoft Partner with experience migrating organizations of all sizes and verticals to Office 365. • Migration and consolidation of content from a wide variety of sources • The right mix of -
FASTTRACK Through FUJITSU-DEV
FASTTRACK through FUJITSU-DEV Americas Headquarters: Cisco Systems, Inc., 170 West Tasman Drive, San Jose, CA 95134-1706 USA FASTTRACK through FUJITSU-DEV FASTTRACK FASTTRACK Name/CLI Keyword fasttrack Full Name FastTrack Description FastTrack is a file sharing client software that is based on peer-to-peer connection. FastTrack is used by multiple file sharing applications such as Kazaa, Grokster, iMesh, and Morpheus. Initialization: Initial the connection with FastTrack server over HTTP. Search: Searching for files in FastTrack server. Download: Download request from FastTracker server. Reference http://developer.berlios.de/projects/gift-fasttrack/ Global ID L7:57 ID 57 Known Mappings UDP Port - TCP Port - IP Protocol - IP Version IPv4 Support Yes IPv6 Support Yes Application Group fasttrack-group Category file-sharing Sub Category p2p-networking P2P Technology Yes Encrypted No Tunnel No Underlying Protocols - 2 FASTTRACK through FUJITSU-DEV FASTTRACK-STATIC FASTTRACK-STATIC Name/CLI Keyword fasttrack-static Full Name fasttrack-static Description FastTrack Traffic - KaZaA Morpheus Grokster... Reference - Global ID L7:1322 ID 1322 Known Mappings UDP Port 1214 TCP Port 1214 IP Protocol - IP Version IPv4 Support Yes IPv6 Support Yes Application Group fasttrack-group Category file-sharing Sub Category p2p-networking P2P Technology Yes Encrypted No Tunnel No Underlying Protocols - 3 FASTTRACK through FUJITSU-DEV FATSERV FATSERV Name/CLI Keyword fatserv Full Name Fatmen Server Description Fatmen Server Reference - Global ID L4:305 ID 305 Known -
Hartkad: a Hard Real-Time Kademlia Approach
HaRTKad: A Hard Real-Time Kademlia Approach Jan Skodzik, Peter Danielis, Vlado Altmann, Dirk Timmermann University of Rostock Institute of Applied Microelectronics and Computer Engineering 18051 Rostock, Germany, Tel./Fax: +49 381 498-7284 / -1187251 Email: [email protected] Abstract—The Internet of Things is becoming more and time behavior. Additionally, many solutions leak flexibility and more relevant in industrial environments. As the industry itself need a dedicated instance for administrative tasks. These issues has different requirements like (hard) real-time behavior for will becomes more relevant in the future. As mentioned in many scenarios, different solutions are needed to fulfill future challenges. Common Industrial Ethernet solution often leak [3], the future for the industry will be more intelligent devices, scalability, flexibility, and robustness. Most realizations also which can act more dynamically. Facilities as one main area require special hardware to guarantee a hard real-time behavior. of application will consist of more devices still requiring real- Therefore, an approach is presented to realize a hard real- time or even hard real-time behavior. So we think, the existing time network for automation scenarios using Peer-to-Peer (P2P) solutions will not fulfill the future challenges in terms of technology. Kad as implementation variant of the structured decentralized P2P protocol Kademlia has been chosen as base scalability, flexibility, and robustness. for the realization. As Kad is not suitable for hard real-time Peer-to-Peer (P2P) networks instead offer an innovative applications per se, changes of the protocol are necessary. Thus, alternative to the typical Client-Server or Master-Slave concepts Kad is extended by a TDMA-based mechanism. -
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. -
CS 552 Peer 2 Peer Networking
CS 552 Peer 2 Peer Networking R. Martin Credit slides from B. Richardson, I. Stoica, M. Cuenca Peer to Peer • Outline • Overview • Systems: – Gnutella – Freenet – Chord – PlanetP Why Study P2P • Huge fraction of traffic on networks today – >=50%! • Exciting new applications • Next level of resource sharing – Vs. timesharing, client-server, P2P – E.g. Access 10’s-100’s of TB at low cost. P2P usage • CMU network (external to world), 2003 • 47% of all traffic was easily classifiable as P2P • 18% of traffic was HTTP • Other traffic: 35% – Believe ~28% is port- hopping P2P • Other sites have a similar distribution Big Picture • Gnutella – Focus is simple sharing – Using simple flooding • Bit torrent – Designed for high bandwidth • PlanetP – Focus on search and retrieval – Creates global index on each node via controlled, randomized flooding • Cord – Focus on building a distributed hash table (DHT) – Finger tables Other P2P systems • Freenet: – Focus privacy and anonymity – Builds internal routing tables • KaaZa • eDonkey • Napster – Success started the whole craze Key issues for P2P systems • Join/leave – How do nodes join/leave? Who is allowed? • Search and retrieval – How to find content? – How are metadata indexes built, stored, distributed? • Content Distribution – Where is content stored? How is it downloaded and retrieved? Search and Retrieval • Basic strategies: – Flooding the query – Flooding the index – Routing the query • Different tradeoffs depending on application – Robustness, scalability, legal issues Flooding the Query (Gnutella) N3 Lookup(“title”) N1 N2 N4 N5 Key=title N8 N6 Value=mp3 N7 Pros: highly robust. Cons: Huge network traffic Flooding the Index (PlanetP) Key1=title1 N3 N1 Key2=title2 N2 N4 N5 Lookup(“title4”) Key1=title3 N8 N6 Key2=title4 N7 Pros: Robust. -
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. -
NBAR2 Standard Protocol Pack 1.0
NBAR2 Standard Protocol Pack 1.0 Americas Headquarters Cisco Systems, Inc. 170 West Tasman Drive San Jose, CA 95134-1706 USA http://www.cisco.com Tel: 408 526-4000 800 553-NETS (6387) Fax: 408 527-0883 © 2013 Cisco Systems, Inc. All rights reserved. CONTENTS CHAPTER 1 Release Notes for NBAR2 Standard Protocol Pack 1.0 1 CHAPTER 2 BGP 3 BITTORRENT 6 CITRIX 7 DHCP 8 DIRECTCONNECT 9 DNS 10 EDONKEY 11 EGP 12 EIGRP 13 EXCHANGE 14 FASTTRACK 15 FINGER 16 FTP 17 GNUTELLA 18 GOPHER 19 GRE 20 H323 21 HTTP 22 ICMP 23 IMAP 24 IPINIP 25 IPV6-ICMP 26 IRC 27 KAZAA2 28 KERBEROS 29 L2TP 30 NBAR2 Standard Protocol Pack 1.0 iii Contents LDAP 31 MGCP 32 NETBIOS 33 NETSHOW 34 NFS 35 NNTP 36 NOTES 37 NTP 38 OSPF 39 POP3 40 PPTP 41 PRINTER 42 RIP 43 RTCP 44 RTP 45 RTSP 46 SAP 47 SECURE-FTP 48 SECURE-HTTP 49 SECURE-IMAP 50 SECURE-IRC 51 SECURE-LDAP 52 SECURE-NNTP 53 SECURE-POP3 54 SECURE-TELNET 55 SIP 56 SKINNY 57 SKYPE 58 SMTP 59 SNMP 60 SOCKS 61 SQLNET 62 SQLSERVER 63 SSH 64 STREAMWORK 65 NBAR2 Standard Protocol Pack 1.0 iv Contents SUNRPC 66 SYSLOG 67 TELNET 68 TFTP 69 VDOLIVE 70 WINMX 71 NBAR2 Standard Protocol Pack 1.0 v Contents NBAR2 Standard Protocol Pack 1.0 vi CHAPTER 1 Release Notes for NBAR2 Standard Protocol Pack 1.0 NBAR2 Standard Protocol Pack Overview The Network Based Application Recognition (NBAR2) Standard Protocol Pack 1.0 is provided as the base protocol pack with an unlicensed Cisco image on a device.