Now a day’s growth of local area networks as
well as internet gives a more convenient and better business
oriented technology for the users. Even though the emerging
internet technology is more valuable for the users of the
computer systems the critical data security threads are also
increasing at a very high rate. Various firms are utilizing
different protection technologies to protect their system
from the intruder attacks by using antivirus application,
firewall, and password protection. There are various
techniques and areas which plays really important role in
building more secured applications. In this paper we
provide one of the most powerful technique i.e evolutionary
algorithms (Genetic Algorithm) for Intrusion Detection
System. It also gives a brief idea regarding proposed
parameters and evolution process genetic algorithm and how
to implement it in real time system.
In this paper we have implemented the rule set for real
time system which can detect existing and new intrusions.
This system can be very fruitful to integrate with any of
the IDS or firewall system to improve the efficiency and
the performance. In this paper, the key idea of
implemented work is a fitness function of GA which is
nothing but the most important factor for system success.
In this approach the fitness function is: Fitness = (size *
weight) Where the size is the actual packet data size
prescribed by the incoming packet data stream and weight is the vector which applied to each chromosome. The
above discussed approach of GA processes and evolution
operators approach is really helpful to identify DDoS
attack and thus provide security to organization data.
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