Learning Classification of Freenet Traffic Flow Based on Machine
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Overlay Networks EECS 122: Lecture 18
Overlay Networks EECS 122: Lecture 18 Department of Electrical Engineering and Computer Sciences University of California Berkeley What is an overlay network? A network defined over another set of networks A The overlay addresses its own nodes A’ A Links on one layer are network segments of lower layers Requires lower layer routing to be utilized Overlaying mechanism is called tunneling March 23, 2006 EE122, Lecture 18, AKP 2 1 Overlay Concept C5 7 4 8 6 11 2 10 A1 3 13 B12 Overlay Network Nodes March 23, 2006 EE122, Lecture 18, AKP 3 Overlay Concept C5 7 4 8 6 11 2 10 A1 3 13 B12 Overlay Networks are extremely popular Akamai, Virtual Private Networks, Napster, Gnutella, Kazaa, Bittorrent March 23, 2006 EE122, Lecture 18, AKP 4 2 Why overlay? Filesharing Example Single point of failure Performance bottleneck m5 Copyright infringement m6 E F D E? m1 A E m2 B m4 m3 C file transfer is m4 D Napster E? decentralized, but m5 E m5 locating content m6 F is highly C centralized A B m3 m1 m2 March 23, 2006 EE122, Lecture 18, AKP 5 Build an Overlay Network Underlying Network March 23, 2006 EE122, Lecture 18, AKP 6 3 Build an Overlay Network The underlying network induces a complete graph of connectivity No routing required! Underlying Network March 23, 2006 EE122, Lecture 18, AKP 7 Overlay The underlying network induces a complete graph of connectivity 10 No routing required! But 200 100 One virtual hop may be many 90 underlying hops away. 90 100 Latency and cost vary significantly over the virtual links 10 100 20 State information may grow with E (n^2) 10 March 23, 2006 EE122, Lecture 18, AKP 8 4 Overlay The underlying network induces a complete graph of connectivity No routing required! 1 2 But One virtual hop may be many underlying hops away. -
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 -
Adaptive Lookup for Unstructured Peer-To-Peer Overlays
Adaptive Lookup for Unstructured Peer-to-Peer Overlays K Haribabu, Dayakar Reddy, Chittaranjan Hota Antii Ylä-Jääski, Sasu Tarkoma Computer Science & Information Systems Telecommunication Software and Multimedia Laboratory Birla Institute of Technology & Science Helsinki University of Technology Pilani, Rajasthan, 333031, INDIA TKK, P.O. Box 5400, Helsinki, FINLAND {khari, f2005462, c_hota}@bits-pilani.ac.in {[email protected], [email protected]}.fi Abstract— Scalability and efficient global search in unstructured random peers but at specified locations that will make peer-to-peer overlays have been extensively studied in the subsequent queries more efficient. Most of the structured P2P literature. The global search comes at the expense of local overlays are Distributed Hash Table (DHT) based. Content interactions between peers. Most of the unstructured peer-to- Addressable Network (CAN) [6], Tapestry [7], Chord [8], peer overlays do not provide any performance guarantee. In this Pastry [9], Kademlia [10] and Viceroy [11] are some examples work we propose a novel Quality of Service enabled lookup for of structured P2P overlay networks. unstructured peer-to-peer overlays that will allow the user’s query to traverse only those overlay links which satisfy the given In unstructured P2P network, lookup is based on constraints. Additionally, it also improves the scalability by forwarding the queries [12]. At each node the query is judiciously using the overlay resources. Our approach selectively forwarded to neighbors. Unless the peer finds the item or the forwards the queries using QoS metrics like latency, bandwidth, hop count of the query reaches zero, query is forwarded to and overlay link status so as to ensure improved performance in neighbors. -
Will Sci-Hub Kill the Open Access Citation Advantage and (At Least for Now) Save Toll Access Journals?
Will Sci-Hub Kill the Open Access Citation Advantage and (at least for now) Save Toll Access Journals? David W. Lewis October 2016 © 2016 David W. Lewis. This work is licensed under a Creative Commons Attribution 4.0 International license. Introduction It is a generally accepted fact that open access journal articles enjoy a citation advantage.1 This citation advantage results from the fact that open access journal articles are available to everyone in the word with an Internet collection. Thus, anyone with an interest in the work can find it and use it easily with no out-of-pocket cost. This use leads to citations. Articles in toll access journals on the other hand, are locked behind paywalls and are only available to those associated with institutions who can afford the subscription costs, or who are willing and able to purchase individual articles for $30 or more. There has always been some slippage in the toll access journal system because of informal sharing of articles. Authors will usually send copies of their work to those who ask and sometime post them on their websites even when this is not allowable under publisher’s agreements. Stevan Harnad and his colleagues proposed making this type of author sharing a standard semi-automated feature for closed articles in institutional repositories.2 The hashtag #ICanHazPDF can be used to broadcast a request for an article that an individual does not have access to.3 Increasingly, toll access articles are required by funder mandates to be made publically available, though usually after an embargo period. -
Qos-Assured Service Composition in Managed Service Overlay Networks
QoS-Assured Service Composition in Managed Service Overlay Networks Xiaohui Gu, Klara Nahrstedt Rong N. Chang, Christopher Ward Department of Computer Science Network Hosted Application Services University of Illinois at Urbana-Champaign IBM T.J. Watson Research Center ¡ ¡ ¢ xgu, klara ¢ @ cs.uiuc.edu rong, cw1 @ us.ibm.com Abstract Service Provider: XXX.com service Service Overlay Network instance X service instance (SON) service Z Many value-added and content delivery services are instance being offered via service level agreements (SLAs). These SON Y Portal services can be interconnected to form a service overlay network (SON) over the Internet. Service composition in SON Access SON has emerged as a cost-effective approach to quickly Domain creating new services. Previous research has addressed the reliability, adaptability, and compatibility issues for com- posed services. However, little has been done to manage SON generic quality-of-service (QoS) provisioning for composed SON Portal Portal services, based on the SLA contracts of individual ser- SON Access SON Access Domain vices. In this paper, we present QUEST, a QoS assUred Domain composEable Service infrasTructure, to address the prob- lem. QUEST framework provides: (1) initial service com- Figure 1. Illustration of the Service Overlay position, which can compose a qualified service path under Network Model. multiple QoS constraints (e.g., response time, availability). If multiple qualified service paths exist, QUEST chooses the best one according to the load balancing metric; and (2) dynamic service composition, which can dynamically re- and peer-to-peer file sharing overlays [2]. Beyond this, we compose the service path to quickly recover from service envision the emergence of service overlay networks (SON), outages and QoS violations. -
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: -
Piracy of Scientific Papers in Latin America: an Analysis of Sci-Hub Usage Data
Developing Latin America Piracy of scientific papers in Latin America: An analysis of Sci-Hub usage data Juan D. Machin-Mastromatteo Alejandro Uribe-Tirado Maria E. Romero-Ortiz This article was originally published as: Machin-Mastromatteo, J.D., Uribe-Tirado, A., and Romero-Ortiz, M. E. (2016). Piracy of scientific papers in Latin America: An analysis of Sci-Hub usage data. Information Development, 32(5), 1806–1814. http://dx.doi.org/10.1177/0266666916671080 Abstract Sci-Hub hosts pirated copies of 51 million scientific papers from commercial publishers. This article presents the site’s characteristics, it criticizes that it might be perceived as a de-facto component of the Open Access movement, it replicates an analysis published in Science using its available usage data, but limiting it to Latin America, and presents implications caused by this site for information professionals, universities and libraries. Keywords: Sci-Hub, piracy, open access, scientific articles, academic databases, serials crisis Scientific articles are vital for students, professors and researchers in universities, research centers and other knowledge institutions worldwide. When academic publishing started, academies, institutions and professional associations gathered articles, assessed their quality, collected them in journals, printed and distributed its copies; with the added difficulty of not having digital technologies. Producing journals became unsustainable for some professional societies, so commercial scientific publishers started appearing and assumed printing, sales and distribution on their behalf, while academics retained the intellectual tasks. Elsevier, among the first publishers, emerged to cover operations costs and profit from sales, now it is part of an industry that grew from the process of scientific communication; a 10 billion US dollar business (Murphy, 2016). -
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. -
Multicasting Over Overlay Networks – a Critical Review
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 3, March 2011 Multicasting over Overlay Networks – A Critical Review M.F.M Firdhous Faculty of Information Technology, University of Moratuwa, Moratuwa, Sri Lanka. [email protected] Abstract – Multicasting technology uses the minimum network internet due to the unnecessary congestion caused by resources to serve multiple clients by duplicating the data packets broadcast traffic that may bring the entire internet down in a at the closest possible point to the clients. This way at most only short time. one data packets travels down a network link at any one time irrespective of how many clients receive this packet. Traditionally Using the network layer multicast routers to create the multicasting has been implemented over a specialized network backbone of the internet is not that attractive as these routers built using multicast routers. This kind of network has the are more expensive compared to unicast routers. Also, the drawback of requiring the deployment of special routers that are absence of a multicast router at any point in the internet would more expensive than ordinary routers. Recently there is new defeat the objective of multicasting throughout the internet interest in delivering multicast traffic over application layer downstream from that point. Chu et al., have proposed to overlay networks. Application layer overlay networks though replace the multicast routers with peer to peer clients for built on top of the physical network, behave like an independent duplicating and forwarding the packets to downstream clients virtual network made up of only logical links between the nodes. -
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, .. -
Overlay Networks
OVERLAY NETWORKS An overlay network is an application-specific computer network built on top of another network. In other words, an overlay network creates a virtual topology on top of the physical topology. This type of network is created to protect the existing network structure from new protocols whose testing phases require Internet use. Such networks protect packets under test while isolating them from the main networking infrastructure in a test bed. Figure 6.11 shows an overlay network configured over a wide area network. Nodes in an overlay network can be thought of as being connected by logical links. In Figure 6.11, for example, routers R4, R5, R6, and R1 are participating in creating an overlay network where the interconnection links are realized as overlay logical links. Such a logical link corresponds to a path in the underlying network. An obvious example of these networks is the peer-to-peer network, which runs on top of the Internet. Overlay networks have no control over how packets are routed in the underlying network between a pair of overlay source/destination nodes. However, these networks can control a sequence of overlay nodes through a message-passing function before reaching the destination. Figure 6.11. An overlay network for connections between two LANs associated with routers R1 and R4 For various reasons, an overlay network might be needed in a communication system. An overlay network permits routing messages to destinations when the IP address is not known in advance. Sometimes, an overlay network is proposed as a method to improve Internet routing as implemented in order to achieve higher-quality streaming media.