Essays about: "BitTorrent networks"
Showing result 1 - 5 of 10 essays containing the words BitTorrent networks.
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1. Panoptic IPv6 Measurement : Debiasing Hitlists for Internet-wide Surveys and Remote Monitoring Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Active Internet measurements survey online hosts on a global scale. Its applications are numerous and include tracking protocol adoption, discovering vulnerabilities, and detecting network disruptions. Because of the vast address space, exhaustively targeting all IP addresses is not feasible in IPv6. READ MORE
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2. The effect of film sharing on P2P networks on box office sales
University essay fromAbstract : Context. Online piracy is widespread, controversial and poorly understood social phenomena that affects content creators, owners, and consumers. Online piracy, born from recent, rapid ITC changes, raises legal, ethical, and business challenges. Content owners, authors and content consumers should benefit from better understanding of online piracy. READ MORE
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3. Decentralized communication How to send messages to unresponsive clients in a chat network
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : A communication solution to send messages between clients in a decentralized network even though the receiver may be unreachable at the time of transmission is presented. The solution is build on a decentralized cloud infrastructure and includes cryptically key pairs to perform client authentication. READ MORE
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4. Data mining file sharing metadata : A comparison between Random Forests Classificiation and Bayesian Networks
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In this comparative study based on experimentation it is demonstrated that the two evaluated machine learning techniques, Bayesian networks and random forests, have similar predictive power in the domain of classifying torrents on BitTorrent file sharing networks. This work was performed in two steps. READ MORE
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5. Data mining file sharing metadata : A comparison between Random Forests Classification and Bayesian Networks
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In this comparative study based on experimentation it is demonstrated that the two evaluated machine learning techniques, Bayesian networks and random forests, have similar predictive power in the domain of classifying torrents on BitTorrent file sharing networks.This work was performed in two steps. READ MORE