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Torrent poisoning is intentionally sharing corrupt data or data with misleading, deceiving file names using the BitTorrent protocol.This practice of uploading fake torrents is sometimes carried out by anti-infringement organisations as an attempt to prevent the peer-to-peer (P2P) sharing of copyrighted content, and to gather the IP addresses of downloaders.
Torrents with multiple trackers can decrease the time it takes to download a file, but also have a few consequences: Poorly implemented [59] clients may contact multiple trackers, leading to more overhead-traffic. Torrents from closed trackers suddenly become downloadable by non-members, as they can connect to a seed via an open tracker.
In mathematics, a function is a rule for taking an input (in the simplest case, a number or set of numbers) [5] and providing an output (which may also be a number). [5] A symbol that stands for an arbitrary input is called an independent variable, while a symbol that stands for an arbitrary output is called a dependent variable. [6]
In the BitTorrent file distribution system, a torrent file or meta-info file is a computer file that contains metadata about files and folders to be distributed, and usually also a list of the network locations of trackers, which are computers that help participants in the system find each other and form efficient distribution groups called swarms. [1]
Deluge BitTorrent Client is a free and open-source, cross-platform BitTorrent client written in Python.Deluge uses a front and back end architecture where libtorrent, a software library written in C++ which provides the application's networking logic, is connected to one of various front ends including a text console, the web interface and a graphical desktop interface using GTK through the ...
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.
The PCR method may be broadly divided into three major steps: 1. Perform PCA on the observed data matrix for the explanatory variables to obtain the principal components, and then (usually) select a subset, based on some appropriate criteria, of the principal components so obtained for further use.
Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide Analysis of covariance (ANCOVA) is a general linear model that ...