Basics: Introduction

Copyright law is a branch of intellectual property law and deals with the rights of intellectual creators in their works. The scope of copyright protection as laid down in Article 2 of the 1996 WIPO Copyright Treaty "... extends to expressions and not to ideas, procedures, methods of operation or mathematical concepts as such." Copyright law protects the creativity concerning the choice and arrangement of words, colors, musical notes etc. It grants the creators of certain specified works exclusive rights relating to the "copying" and use of their original creation.


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Feeding the data body

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Another Question of Security

Even with the best techniques it is impossible to invent a cryptographic system that is absolutely safe/unbreakable. To decipher a text means to go through many, sometimes nearly - but never really - endless attempts. For the computers of today it might take hundreds of years or even more to go through all possibilities of codes, but still, finally the code stays breakable. The much faster quantum computers will proof that one day.
Therefore the decision to elect a certain method of enciphering finally is a matter of trust.

For the average user of computers it is rather difficult to understand or even realize the dangers and/or the technological background of electronic transmission of data. For the majority thinking about one's own necessities for encryption first of all means to trust others, the specialists, to rely on the information they provide.
The websites explaining the problems behind (and also the articles and books concerning the topic) are written by experts of course as well, very often in their typical scientific language, merely understandable for laymen. The introductions and other superficial elements of those articles can be understood, whereas the real background appears as untouchable spheres of knowledge.

The fact that dangers are hard to see through and the need for security measures appears as something most people know from media reports, leads directly to the problem of an underdeveloped democracy in the field of cryptography. Obviously the connection between cryptography and democracy is rather invisible for many people. Those mentioned media reports often specialize in talking about the work computer hackers do (sometimes being presented as criminals, sometimes as heroes) and the danger to lose control over the money drawn away from one's bank account, if someone steals the credit card number or other important financial data. The term "security", surely connected to those issues, is a completely different one from the one that is connected to privacy.
It is especially the latter that touches the main elements of democracy.

for the question of security see:
http://www-db.stanford.edu/pub/gio/CS99I/security.html

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NATO

The North Atlantic Treaty was signed in Washington on 4 April 1949, creating NATO (= North Atlantic Treaty Organization). It was an alliance of 12 independent nations, originally committed to each other's defense. Between 1952 and 1982 four more members were welcomed and in 1999, the first ex-members of COMECON became members of NATO (the Czech Republic, Hungary and Poland), which makes 19 members now. Around its 50th anniversary NATO changed its goals and tasks by intervening in the Kosovo Crisis.

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Intranet

As a local area network (LAN), an Intranet is a secured network of computers based on the IP protocol and with restricted access.

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Neural network

A bottom-up artificial intelligence approach, a neural network is a network of many very simple processors ("units" or "neurons"), each possibly having a (small amount of) local memory. The units are connected by unidirectional communication channels ("connections"), which carry numeric data. The units operate only on their local data and on the inputs they receive via the connections. A neural network is a processing device, either an algorithm, or actual hardware, whose design was inspired by the design and functioning of animal brains and components thereof. Most neural networks have some sort of "training" rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, neural networks "learn" from examples and exhibit some structural capability for generalization.

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