0.2.0.2
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Tor 0.1.2.16 / 0.2.0.2 Alpha
Tor is a network of virtual tunnels. more>>
Tor is a toolset for a wide range of organizations and people that want to improve their safety and security on the Internet.
Using Tor can help you anonymize web browsing and publishing, instant messaging, IRC, SSH, and other applications that use the TCP protocol. Tor also provides a platform on which software developers can build new applications with built-in anonymity, safety, and privacy features.
Your traffic is safer when you use Tor, because communications are bounced around a distributed network of servers, called onion routers. Instead of taking a direct route from source to destination, data packets on the Tor network take a random pathway through several servers that cover your tracks so no observer at any single point can tell where the data came from or where its going.
This makes it hard for recipients, observers, and even the onion routers themselves to figure out who and where you are. Tors technology aims to provide Internet users with protection against "traffic analysis," a form of network surveillance that threatens personal anonymity and privacy, confidential business activities and relationships, and state security.
Traffic analysis is used every day by companies, governments, and individuals that want to keep track of where people and organizations go and what they do on the Internet. Instead of looking at the content of your communications, traffic analysis tracks where your data goes and when, as well as how much is sent.
For example, online advertising companies like Fastclick and Doubleclick uses traffic analysis to record what web pages youve visited, and can build a profile of your interests from that. A pharmaceutical company could use traffic analysis to monitor when the research wing of a competitor visits its website, and track what pages or products that interest the competitor.
IBM hosts a searchable patent index, and it could keep a list of every query your company makes. A stalker could use traffic analysis to learn whether youre in a certain Internet cafe.
Tor aims to make traffic analysis more difficult by preventing eavesdroppers from finding out where your communications are going online, and by letting you decide whether to identify yourself when you communicate.
Tors security is improved as its user base grows and as more people volunteer to run servers. Please consider installing it and then helping out. You can also learn more about Tor here.
Part of the goal of the Tor project is to deploy a public testbed for experimenting with design trade-offs, to teach us how best to provide privacy online. We welcome research into the security of Tor and related anonymity systems, and want to hear about any vulnerabilities you find.
Tor is an important piece of building more safety, privacy, and anonymity online, but it is not a complete solution. And remember that this is development code?its not a good idea to rely on the current Tor network if you really need strong anonymity.
Whats New in 0.1.2.16 Stable Release:
- This release fixes a critical security vulnerability that allowed a remote attacker in certain situations to rewrite the users torrc configuration file. This could completely compromise anonymity of users in most configurations, including those running the Vidalia bundles, TorK, etc.
Whats New in 0.2.0.2 Alpha Development Release:
- This release provide new features for people running Tor as both a client and a server.
- Tor may now be run as a DNS proxy.
<<lessUsing Tor can help you anonymize web browsing and publishing, instant messaging, IRC, SSH, and other applications that use the TCP protocol. Tor also provides a platform on which software developers can build new applications with built-in anonymity, safety, and privacy features.
Your traffic is safer when you use Tor, because communications are bounced around a distributed network of servers, called onion routers. Instead of taking a direct route from source to destination, data packets on the Tor network take a random pathway through several servers that cover your tracks so no observer at any single point can tell where the data came from or where its going.
This makes it hard for recipients, observers, and even the onion routers themselves to figure out who and where you are. Tors technology aims to provide Internet users with protection against "traffic analysis," a form of network surveillance that threatens personal anonymity and privacy, confidential business activities and relationships, and state security.
Traffic analysis is used every day by companies, governments, and individuals that want to keep track of where people and organizations go and what they do on the Internet. Instead of looking at the content of your communications, traffic analysis tracks where your data goes and when, as well as how much is sent.
For example, online advertising companies like Fastclick and Doubleclick uses traffic analysis to record what web pages youve visited, and can build a profile of your interests from that. A pharmaceutical company could use traffic analysis to monitor when the research wing of a competitor visits its website, and track what pages or products that interest the competitor.
IBM hosts a searchable patent index, and it could keep a list of every query your company makes. A stalker could use traffic analysis to learn whether youre in a certain Internet cafe.
Tor aims to make traffic analysis more difficult by preventing eavesdroppers from finding out where your communications are going online, and by letting you decide whether to identify yourself when you communicate.
Tors security is improved as its user base grows and as more people volunteer to run servers. Please consider installing it and then helping out. You can also learn more about Tor here.
Part of the goal of the Tor project is to deploy a public testbed for experimenting with design trade-offs, to teach us how best to provide privacy online. We welcome research into the security of Tor and related anonymity systems, and want to hear about any vulnerabilities you find.
Tor is an important piece of building more safety, privacy, and anonymity online, but it is not a complete solution. And remember that this is development code?its not a good idea to rely on the current Tor network if you really need strong anonymity.
Whats New in 0.1.2.16 Stable Release:
- This release fixes a critical security vulnerability that allowed a remote attacker in certain situations to rewrite the users torrc configuration file. This could completely compromise anonymity of users in most configurations, including those running the Vidalia bundles, TorK, etc.
Whats New in 0.2.0.2 Alpha Development Release:
- This release provide new features for people running Tor as both a client and a server.
- Tor may now be run as a DNS proxy.
Download (1.1MB)
Added: 2007-08-05 License: BSD License Price:
921 downloads
AI::FuzzyLogic 0.05
AI::FuzzyLogic is a Perl module for Fuzzy Set Operations and Tools. more>>
AI::FuzzyLogic is a Perl module for Fuzzy Set Operations and Tools.
SYNOPSIS
use AI::FuzzyLogic;
$i = new AI::FuzzyLogic $unittype, @numbers; # new set with one subset
$i = new AI::FuzzyLogic age, 0, 0.1, 0.2, 0.1, 0; # same thing
$i = new AI::FuzzyLogic $subset1, $subset2, $subset3; # new set with several subsets
# another syntax for building a set with several subsets:
$i = AI::FuzzyLogic->new(
AI::FuzzyLogic->new(distance, 0.0, 0.1, 0.1, 0.5, 0.8, 0.6, 0.3, 0.0),
AI::FuzzyLogic->new(time, 0.3, 0.3, 0.1, 0.1, 0.1, 0.2, 0.3, 0.3),
AI::FuzzyLogic->new(heat, 0.0, 0.1, 0.1, 0.2, 0.2, 0.3, 0.3, 0.2),
);
# constructors for explicit combinational behavior:
$i = new AI::FuzzyLogic::Correlator speed, 0.1, 0.3, 0.2, 0.1, 0.1;
$i = new AI::FuzzyLogic::Permutator speed, 0.1, 0.3, 0.2, 0.1, 0.1;
$i = new AI::FuzzyLogic::Discriminator speed, 0.1, 0.3, 0.2, 0.1, 0.1;
$i = new AI::FuzzyLogic::Abstractor speed, 0.1, 0.3, 0.2, 0.1, 0.1;
# change combinational behavior:
$set->as_correlator(); # operations work on matching subsets of same type
$set->as_permutator(); # operations work across all subsets of each set
$set->as_discriminator(); # operations best matching subset from right for each on left
$set->as_abstractor(); # operations return one set with one subset summerizing fit
$i->add_subsets($j); # combine subsets or other sets in
abs($i) # defuzzify to integer (centroid - curve middle, x axis)
0+$i # defuzzify to integer (mean - average curve height, y axis)
$a & $b # intersection of sets
$a | $b # union of sets
$i++ # normalize curve to 1.0
$i-- # stretch curve to edges
~$i # negate set
$i ** 0.5 # dialation
"$i" # convert subsets to ASCII graphs
$a + $b # sum sets
$a - $b # subtract sets
$a * $b # multiply sets - useful for sensitivity control
$a / $b # divide sets - useful for sensitivity control
$h->larger($a) # boolean: does $h completely encompass $a?
$a ^ $b # xor: same as ~($a | $b)
$a < $b # compare volume: is $a smaller?
$a > $b # compare volume: is $a larger?
@sets = $a->unwrap(); # get subsets as list of AI::FuzzyLogic::Subset objects
@sets = $a->query_type(type); # get subsets of type type as a list of AI::FuzzyLogic::Subset objects
$a->change_type(fromtype, to); # change type of subsets of type fromtype to to
Performs all basic operations on Fuzzy Sets. Use English-like, intentionally vague objects representing concepts with which to make inferences. The inferences might be approximate reasoning about precise knowledge, or precise reasoning about approximate knowledge. This vagueness allows the capture and application of human expert knowledge.
Overloads Perl operators to perform operations on Fuzzy Sets.
<<lessSYNOPSIS
use AI::FuzzyLogic;
$i = new AI::FuzzyLogic $unittype, @numbers; # new set with one subset
$i = new AI::FuzzyLogic age, 0, 0.1, 0.2, 0.1, 0; # same thing
$i = new AI::FuzzyLogic $subset1, $subset2, $subset3; # new set with several subsets
# another syntax for building a set with several subsets:
$i = AI::FuzzyLogic->new(
AI::FuzzyLogic->new(distance, 0.0, 0.1, 0.1, 0.5, 0.8, 0.6, 0.3, 0.0),
AI::FuzzyLogic->new(time, 0.3, 0.3, 0.1, 0.1, 0.1, 0.2, 0.3, 0.3),
AI::FuzzyLogic->new(heat, 0.0, 0.1, 0.1, 0.2, 0.2, 0.3, 0.3, 0.2),
);
# constructors for explicit combinational behavior:
$i = new AI::FuzzyLogic::Correlator speed, 0.1, 0.3, 0.2, 0.1, 0.1;
$i = new AI::FuzzyLogic::Permutator speed, 0.1, 0.3, 0.2, 0.1, 0.1;
$i = new AI::FuzzyLogic::Discriminator speed, 0.1, 0.3, 0.2, 0.1, 0.1;
$i = new AI::FuzzyLogic::Abstractor speed, 0.1, 0.3, 0.2, 0.1, 0.1;
# change combinational behavior:
$set->as_correlator(); # operations work on matching subsets of same type
$set->as_permutator(); # operations work across all subsets of each set
$set->as_discriminator(); # operations best matching subset from right for each on left
$set->as_abstractor(); # operations return one set with one subset summerizing fit
$i->add_subsets($j); # combine subsets or other sets in
abs($i) # defuzzify to integer (centroid - curve middle, x axis)
0+$i # defuzzify to integer (mean - average curve height, y axis)
$a & $b # intersection of sets
$a | $b # union of sets
$i++ # normalize curve to 1.0
$i-- # stretch curve to edges
~$i # negate set
$i ** 0.5 # dialation
"$i" # convert subsets to ASCII graphs
$a + $b # sum sets
$a - $b # subtract sets
$a * $b # multiply sets - useful for sensitivity control
$a / $b # divide sets - useful for sensitivity control
$h->larger($a) # boolean: does $h completely encompass $a?
$a ^ $b # xor: same as ~($a | $b)
$a < $b # compare volume: is $a smaller?
$a > $b # compare volume: is $a larger?
@sets = $a->unwrap(); # get subsets as list of AI::FuzzyLogic::Subset objects
@sets = $a->query_type(type); # get subsets of type type as a list of AI::FuzzyLogic::Subset objects
$a->change_type(fromtype, to); # change type of subsets of type fromtype to to
Performs all basic operations on Fuzzy Sets. Use English-like, intentionally vague objects representing concepts with which to make inferences. The inferences might be approximate reasoning about precise knowledge, or precise reasoning about approximate knowledge. This vagueness allows the capture and application of human expert knowledge.
Overloads Perl operators to perform operations on Fuzzy Sets.
Download (0.024MB)
Added: 2006-09-21 License: Perl Artistic License Price:
1129 downloads
GD::Tab::Ukulele 0.01
GD::Tab::Ukulele is a Perl module for Ukulele tab image generator. more>>
GD::Tab::Ukulele is a Perl module for Ukulele tab image generator.
SYNOPSIS
use GD::Tab::Ukulele;
my $uk = GD::Tab::Ukulele->new;
# print png image
print $uk->chord(D#sus4)->png;
# get GD::Image instance
my $im = $uk->chord(C);
print $im->png;
# other tab generate
$uk->generate(D7,[0,2,0,2])->png;
# set color
$uk->color(255, 0, 0);
# set background-color and no interlace
$uk->bgcolor(200, 200, 200);
$uk->interlaced(0);
# all tabs image save to file.
use IO::File;
for my $chord (@{$uk->all_chords}) {
(my $filename = $chord) =~ s/M/Maj/; # for case-insensitive filesystem
my $file = IO::File->new("images/$filename.png", w);
$file->print($uk->chord($chord)->png);
}
<<lessSYNOPSIS
use GD::Tab::Ukulele;
my $uk = GD::Tab::Ukulele->new;
# print png image
print $uk->chord(D#sus4)->png;
# get GD::Image instance
my $im = $uk->chord(C);
print $im->png;
# other tab generate
$uk->generate(D7,[0,2,0,2])->png;
# set color
$uk->color(255, 0, 0);
# set background-color and no interlace
$uk->bgcolor(200, 200, 200);
$uk->interlaced(0);
# all tabs image save to file.
use IO::File;
for my $chord (@{$uk->all_chords}) {
(my $filename = $chord) =~ s/M/Maj/; # for case-insensitive filesystem
my $file = IO::File->new("images/$filename.png", w);
$file->print($uk->chord($chord)->png);
}
Download (0.005MB)
Added: 2007-04-24 License: Perl Artistic License Price:
914 downloads
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