Authors :
Himadri Shekhar Giri
Volume/Issue :
Volume 7 - 2022, Issue 9 - September
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3fwack6
DOI :
https://doi.org/10.5281/zenodo.7127268
Abstract :
“A Proposed Hybrid Model For Intrusion
Detection System Using AI and PCA” research is used in
implementing the hybrid model in Intrusion detection
system. As the dependency on cyber wold is increasing
rapidly, the chance of data compromise is also increasing
rapidly. It has two parts signature-based or pattern
based detection and anomaly-based or ai based
detection. In signature-based detection, the system works
with security patches and known attacks. In the case of
unknown data, signature-based detection is not a perfect
method of detection. Anomaly-based intrusion detection
system is nothing but the implementation of artificial
intelligence, those are used to compare the accuracy of
prediction. The main aim of the research is to find out
the best accuracy along with the implementation of the
Hybrid detection model. Data Analysis and Principal
Component Analysis is the instinctive part of this
research to comprehend the data sets properly. Along
with the implementation of an Anomaly-based intrusion
detection system, a hybrid model also has been proposed
for the best way of intrusion detection. The hybrid model
is a combined implementation of signature and anomalybased detection
Keywords :
Machine Learning, Deep Learning, Intrusion detection system, cyber security, Principle Component Analysis.
“A Proposed Hybrid Model For Intrusion
Detection System Using AI and PCA” research is used in
implementing the hybrid model in Intrusion detection
system. As the dependency on cyber wold is increasing
rapidly, the chance of data compromise is also increasing
rapidly. It has two parts signature-based or pattern
based detection and anomaly-based or ai based
detection. In signature-based detection, the system works
with security patches and known attacks. In the case of
unknown data, signature-based detection is not a perfect
method of detection. Anomaly-based intrusion detection
system is nothing but the implementation of artificial
intelligence, those are used to compare the accuracy of
prediction. The main aim of the research is to find out
the best accuracy along with the implementation of the
Hybrid detection model. Data Analysis and Principal
Component Analysis is the instinctive part of this
research to comprehend the data sets properly. Along
with the implementation of an Anomaly-based intrusion
detection system, a hybrid model also has been proposed
for the best way of intrusion detection. The hybrid model
is a combined implementation of signature and anomalybased detection
Keywords :
Machine Learning, Deep Learning, Intrusion detection system, cyber security, Principle Component Analysis.
