11:26 AM
FutureMan
The
tremendous growth of the usage of computers over network and development in
application running on a various platform captures the attention towards
network security. This paradigm exploits security vulnerabilities on all
computer systems that are technically
difficult and expensive to be solved. As
a result, Intrusion Detection Systems (IDSs), are widely used to detect and
stop network intrusions [1,2]. An intrusion detection system watches networked
devices & searches for malicious behaviors in kinds of pattern in the audit
stream [13]. One main conflict in intrusion detection [3] is that we have to
find out the hidden attacks from a large quantity of routine communication
activities. The security of our computer systems & data is at continual
risks due to the extensive growth of the internet & increasing availability
of tools & tricks for intruding & attacking networks have made
intrusion detection to become a critical component of network administration. In
traditional intrusion detection systems, the network administrator needs to spend much
time in analyzing the data and also generates high false alarm rates. But data mining based intrusion detection
systems are more precise, require less manual processing time and input from
human experts.
G.V.Nadiammai
