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January 21, 2011

Lebih Dalam Tentang Teori SPAM

In the past, when trying to protect themselves from spam, software protection can only react when there is an attack. However, as the development, protection software now use the 'game theory' to always stay one step ahead of spammers.
Spam filter function is to protect computer systems from flooding advertising and dangerous phishing messages. Special protection software to recognize the attack to the server and distinguish the original credit card transactions and false.

The development of protection software is a special challenge for developers. However, through an enticing offer of a sum of money, the criminals (spammers) often persuade developers to be fraudsters in cyberspace.
Spammers also often employ developers to overcome the protection mechanism.

What is a Nash Balance?

'Game' between spammers and email service providers (user filters) can be analogue as a thief and his victim. If both memiiki different techniques to attack or protect, from the standpoint of game theory were each will perform the optimization.
Thieves can direct action, but will only get results if the victim has a poor protection. Or he is preparing a more sophisticated attack and still bring results, although the victim has optimal protection.
In Nash equilibrium, victims prepare for the most sophisticated attacks from thieves. If one player deviates unilaterally, the benefit to themselves is reduced.

In reality this is a process. Spammers improve the technique, as well as email service providers react to improve his technique as well. Instead of game theory strategy or technique they choose to be bersamaaan.
That's the power filter Nash. He reduces the reaction time email service provider for further development of technique spammers have been calculated and integrated. Through balance, the Nash equilibrium is reached soon.
Although not a perfect spam protection, filtering Nash better than regular filters.



More Advanced
In Nash equilibrium, victims protect themselves against an attack, and the attacker estimates the optimal protection. When one deviates from this strategy, he will get less or lose more money.

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