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To determine the filename, we used both a BitTorrent search engine and Google. The procedure started by searching the BitTorrent search engine for the info hash that had been hex encoded. If the BitTorrent search engine had the torrent that generated this info hash, it would return the torrent, including the names of the files contained in it.
We then parsed the search results to extract only the filename, and stored the resulting filename in the database. If this procedure failed, we performed a Google search for the hex encoded info hash. If results were returned from Google, we ranked them in order of appearance. If the title of the search result i. If the hex hash was not in the title, we used the title as our filename result.
A full parsing of the returned results remains a significant problem for automatic parsing, and was considered out of scope for this methodology. To determine the accuracy of the filename determination procedure, the results were verified by performing a reverse lookup.
To do this, we selected the top 50 seeded torrents with filenames, and a random sample of 50 torrents from the full set of named torrents, as our test set. For each of these torrents, the original torrent file was searched for, using the given info hash.
The torrent file was then downloaded, and the info hash re-calculated to verify that the torrent was correct. This sampling method was chosen to ensure that there were no biases between the top torrents, compared to a representative sample of the full set of named torrents. Category determination was easier for some files than others. This format changes a little bit as well between release groups and sometimes is a different format altogether. An example of this would be: The. To perform automatic categorisation, we use a simple rule based system.
A list of patterns, in the form of regular expressions, was listed along with the category they corresponded to. The full list of all rules used is given in Appendix A. The rules are listed in the author's view from the most accurate to the least accurate. To categorise a rule, each rule in order was applied to the file. Once a rule was triggered, which happened when the filename contained the pattern given by the regular expression, the file was assigned the category from the rule, and the matching procedure would stop.
To verify the results, the top torrents by seeders and a random sample of torrents was taken, and these categorisations were manually verified. Further to this, the percentage of torrents that were classified i. This determination was primarily based on the title of the file. There were two key limitations to the procedure: firstly, we took the filename at face value, and secondly, if there was any ambiguity in the filename, we erred on the side of caution, and guess that it is legal.
The rationale for the first decision is that files with very high numbers of seeders are unlikely to be fake, since they are so popular, combined with the legal requirements that we have — as researchers — not to infringe copyright. We counterbalance this by being extremely conservative in infringement determinations, and as the results indicate, this still leaves little doubt as to the overall pattern of infringement.
We found that most torrents used similar trackers, and despite each torrent having at least 10 trackers associated with it, there were only 23 unique trackers. Some of these scrapes were only partial, with only some information being retrieved.
A smaller tracker may wish to minimise their bandwidth usage by disabling this feature. For this reason, we will no longer discuss these servers in this paper. Two trackers returned invalid scrapes, from which we were unable to gain any useful information at all. To determine the filename of each torrent would have been time prohibitive.
However, we hypothesised that the ranking of torrent popularity would follow a power law , i. Power laws are becoming more widely acknowledged in computer science but have been well— known in biology for many years . Furthermore, just 9. This result drastically reduced the number of times the naming procedure had to be executed; thus, all results were sampled at a descending sampling rate based on the number of times the file had been downloaded.
For the filename determination, each torrent was retrieved from our database in order of the highest number of downloads. The filenames for torrents were determined in descending order ranked by the number of downloads reported. Out of , attempts to determine the filename - accounting for In addition, there were no failed filename determinations in the Top 50 most seeded torrents, with the first occurring at rank 68, and a total of 6 in the Top In the Top 1,, there were failed filename determination attempts.
The results indicate that it is easier to determine filenames for the most popular torrents. Validation on the Top 50 torrents and a random set of 50 torrents was performed using the methodology given in Section 3. Of these torrents, 10, were categorised, giving a coverage of After applying the categorisation, the categories were manually verified for two samples - the Top torrents, and a random sample of Torrents. The classification accuracy achieved was The percentages of files in each category are given in Table 1.
Such a context aware search could potentially be performed by using a database or verified list of known movies, TV shows and music artists. For the uncategorised files, a sample of files was manually classified. This is a slightly different distribution from the categorised filenames, possibly indicating that there are categories which are more easy to create rules for than others. This regularity is one reason for the low rate of unrecognised TV show torrents compared to movies and other files, such as software, where there are few or no universal conventions.
Often, these torrents just have the filename and sometimes the release year. These filenames were manually checked to determine if they were infringing or legally allowed to be distributed. Our key finding is that - of the 1, torrents in the sample — we could only confirm 3 as being non-infringing 0.
We were unable to establish whether a further 16 were infringing or not 0. We did not attempt to verify the infringing status of the porn torrents, as there is a high level of ambiguity over the terms that we would generally use to determine infringements. This is the same order of magnitude reported by popular search engine sites like Isohunt.
This number is expected to increase at a lower rate with more trackers included. It would be impossible to determine an overall population value, as there are a large number of BitTorrent trackers and some are private. But, by triangulating our estimates with those reported by torrent search engines, our results are in the right ballpark; indeed, they appear to be conservative. For each shared file, we also investigated how many times it had been shared in total.
This is an important question, given the power law relationship hypothesised earlier. As part of our study, we scraped information for more than one million torrents. The Top most seeded torrents are listed in Appendix A. This is not to say that the least popular torrents are also infringing; indeed, it is these files which are often stated to be the most widely shared  but the opposite appears to be true from our data.
There was only one legal torrent in the Top listed in Appendix A, an open source program VLC player which uses BitTorrent as its distribution method. Information on more than one million torrents was collected during our initial study. Just 4. We were able to assign names to more than , of the top , most downloaded torrents, accounting for This means that our headline By examining the titles in Appendix A, it is interesting to speculate about why some files are downloaded more than others, at any point in time.
However, you can also observe cases where movies were less successful in the cinema but also popular for downloading. Is there a link between accessibility and popularity? Or does the ease with which users can download infringing content make popularity a less relevant factor?
Or are some torrents actually for fake files, given the high seed count and out-of-date nature of the material? Further research is required to better understand the decision making processes that users make when they are searching for and downloading infringing content, and also to accurately detect torrents for fake files.
As expected, the results varied in absolute terms e. The results from the replication study are described below. We used the same initial list of trackers from the first study, however, not all of the same trackers returned usable scrapes. There is also some measurement error to be expected — some trackers may be still functioning, but shaping their responses when traffic is slow, and disconnecting at other times.
Note that the tracker from the previous study which gave the highest results in the firs study desi6 did not provide a usable scrape in the replication study. This resulted in overall lower seeder numbers than recorded in the original study. We also pruned one tracker openbittorrent. The results of the replication study indicate that our data are very reliant on the trackers used; some will be more popular in music circles, some more popular for TV shows and movies, and some will have a very short lifespan.
Further longitudinal observation and analysis will be required to establish long-term patterns of activity. From the new sample, 98, files were given a filename, out of 2,, torrent files found, and , filename guessing attempts. The sampling method used was random this time random torrents were chosen to be named , as opposed to using the most downloaded files in the original study. Despite this, the overall ranking and relative proportions of material in different categories remained consistent, as shown in Table 3.
This represents the minimum number of seeders per file for the new sample. The overall maximum number of seeders currently online was 6,, In terms of infringement, in the most downloaded list, there were 2 non- infringing files and 1 unknown. The non-infringing files were Windows 7 loaders which - while they are intended to support illegal activity - are not themselves generally infringing. Again, this illustrates some of the difficulty in automatically categorizing porn files as being infringing or not.
In summary, the results of the replication study support the conclusions of the original study; importantly, we struggled to find any material which was not infringing. In isohunt. The goal here was to establish intent; what were people searching for, and was it likely to be infringing content? Appendix C contains a list of the Top search terms, and the manual categorizations assigned to each case3. We couldn't identify any content which was not infringing or illegal using this technique.
The results indicate that while there are some changes to the relative percentages of material being searched for in each category, the overall ranks of each category generally remained consistent. We have also presented the results of an initial and follow-up study — with broader and narrower sampling respectively —indicating that the overwhelming majority of the most popular content on BitTorrent is infringing.
As hypothesized, we found that there was a power law relationship between the number of downloads and popularity, but that the result was worse than expected, since just 4. In addition, for the 1, most popular, we were only able to identify three files which were not infringing content. Our replication study — which excluded trackers reporting high download rates — the relative rankings between the different categories of content remained largely the same. Furthermore, we validated the study by comparing what users are searching for to establish their intent and what they are actually downloading, and once again, we found the same pattern of use, i.
There are a number of limitations in this study, and it is important to recognise them when interpreting the results. Firstly, any study which relies on sampling has the potential for a number of different types of bias to influence the results . We sampled from a list of the most popular public trackers for the most popular searches. This did not include private trackers, and given our hypothesis of a power law, did not provide coverage of the least popular public trackers and the least popular torrents.
It is likely, though, that the files being shared on those trackers would be the type of content outlined in . This reflects the fact that BitTorrent is a great technology that can be used to distribute material efficiently and effectively whether it is popular or not.
Possibly the greatest limitation for the study is that we did not ourselves download any infringing content, as this would be illegal both in a civil and criminal sense, since some of the material was child porn. Instead, we have relied on the observation that if a file is labelled and advertised with a certain title, and many independent users have downloaded that title and are also seeding it, then it is highly likely that the file is what it claims to be.
This follows from the law of large numbers ; indeed, we would be more concerned about interpreting the data if fewer users were involved. However, we are currently developing other methods to validate the results by performing text mining of the reviews provided by independent users on various torrent sites, and verifying the reviewers by grouping them by reputation.
From a technical perspective, the most pressing limitation to this research is that large BitTorrent sites - such as The Pirate Bay — are moving away from the public tracker based model. These technologies can reduce and possibly eliminate the need for trackers, thus removing the main source of data used in this research.
The development and implementation of these technologies appears to be a response to the various lawsuits that have been brought about against the operators of BitTorrent search sites and trackers. But they likely didn't view them on a theater's big screen, even though they haven't been released on DVD. That's because many Blockbusters have leaked to BitTorrent pirate sites, and the likely seeders are academy members. Google and Yahoo were among the top advertising networks servicing the most ads on pirate sites, according to a new study unveiled Thursday.
Google ranked second and Yahoo, sixth. Beginning in a few weeks, the nation's major internet service providers will roll out an initiative -- backed by Obama and pushed by Hollywood and the record labels -- to disrupt and possibly terminate internet access for online copyright scofflaws without the involvement of cops or courts. But that doesn't mean Hollywood is done filing lawsuits or lobbying Congress. The damages, the maximum allowed under law, are the highest ever in BitTorrent cases.
For years it was just a skate video — something that initially made the rounds on VHS, carried on the wheels of deck-riders everywhere. But now documentary filmmaker Stacy Peralta is releasing the s skate-culture touchstone The Search for Animal Chin as a free download through BitTorrent.
BitTorrent has a new plan for getting money into the hands of content producers -- and it's putting its method to the test with a handful of new tracks from turntable maestro DJ Shadow. A handful of pornography producers are being accused of racketeering, fraud, defamation and other charges in connection to their BitTorrent online litigation trolling strategies.
BitTorrent Inc. BitTorrent file sharing, aka torrenting, is a protocol often used by online pirates to obtain free music, games and software. A year-old California man has pleaded guilty to a single count of criminal copyright infringement for being part of an in-theater camcording group known as IMAGiNE, whose goal was mostly internet cred, not money. Facing a veto threat, the Senate is likely to vote within days on a measure to overturn net neutrality rules adopted by the Federal Communications Commission.
Earlier that year, Comcast throttled about half of all BitTorrent traffic. Today, it's about 3 percent, according to a new study. I got a fax three days ago that claimed to be an early draft of the UltraViolet press release. When contacted, the UltraViolet Alliance denied the […].
A Screen Actors Guild member who leaked the Oscar-winning Black Swan and other first-run films to BitTorrent has agreed to plead guilty to a single criminal copyright-infringement charge, according to court records. After […]. More than 23, people will soon be notified by their internet service providers that their subscriber information is being turned over to lawyers suing over the Sylvester Stallone flick The Expendables.
As we first reported Monday, the case is the largest BitTorrent file-sharing lawsuit in U.
FOTC SUGALUMPS TORRENTFor instance, using Xampp server and syntax Latest version of QDevelop is. See Hiding the data its former. When an our newsletter file that not have files as still having generates WinSCP for the.
Those are available there. RPM packages are available here. More information about the port can be found on the FreshPorts website. To install qBittorrent, you should issue the following commands:. Current version: qBittorrent v4.
GZ 04f9ecc59ec51a12fcbadbbe92aac87f TAR. XZ bca50b54bc6c5bee69f34fbaaadc2c00d24c8 Dependency Recommended version libtorrent-rasterbar 2. Ubuntu packages qBittorrent is now available in official Ubuntu repositories since v9. Debian packages qBittorrent and libtorrent-rasterbar are now officially included in Debian.
Mandriva Linux packages qBittorrent is currently officially included in Mandriva Cooker. Mageia packages qBittorrent is currently packaged in the Mageia official repositories. Gentoo ebuilds qBittorrent is officially available in portage. You can install it easily on your system using emerge command. These ebuilds are maintained by Mikle Kolyada. OpenSuse packages qBittorrent has been in the OpenSuse official repository since v Fedora packages qBittorrent is officially packaged on Fedora.
Slackware scripts qBittorrent is available for Slackware through slackbuilds. ArchLinux packages qBittorrent is officially packaged on ArchLinux. To install, simply type the following commands: sudo pacman -S qbittorrent. Alt Linux packages qBittorrent is officially packaged on Alt Linux.
These packages are maintained by Alexey Morsov. Packages are available here. AgiliaLinux packages qBittorrent is officially packaged on AgiliaLinux. To install, simply type the following command: mpkg-install qbittorrent. These packages are maintained by Charles Barcza.
Haiku port qBittorrent is available in HaikuDepot. You can download it from here. Images Donate icon An illustration of a heart shape Donate Ellipses icon An illustration of text ellipses. The Expendables 3 Movies Preview. It appears your browser does not have it turned on. Please see your browser settings for this feature. EMBED for wordpress.
Want more? Advanced embedding details, examples, and help! Our goal - to reduce the number of people who illegally download films "The Expendables 3". We love this movie, and we want to see in this series was more movies. Our friends working in the film industry, and piracy harms them. Piracy robs people of the harms their families and children, deprives society of millions of tax that would have been invested in schools, hospitals and other key government agencies.
Is it fair to cause such harm to people just because you want to save a few bucks? Think about it
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