Intrusion Detection in KDD99 Dataset: A Review [ READ ]
Megha Jain Gowadiya, Anurag Jain
With the perpetual growth in the use of network services for information and resource sharing, which makes our work easier. Sometimes extensive use of network gets compromised with different kind of threats or intrusion which may fraudulent or devastate the integrity, confidentiality and resource availability. For detecting intrusion over network system has been designed which is called Intrusion Detection System (IDS) whose purpose is to perceive a variety of anomalies and intrusions. In intrusion detection system various data mining algorithm has been applied such as ID3, KNN, K-means etc. The analysis of different feature selection approach is performed in widely used KDDCUP’99 dataset. This paper, presents the literature study of different methodologies developed by researchers with their merits and demerits.
Megha Jain Gowadiya, Anurag Jain
With the perpetual growth in the use of network services for information and resource sharing, which makes our work easier. Sometimes extensive use of network gets compromised with different kind of threats or intrusion which may fraudulent or devastate the integrity, confidentiality and resource availability. For detecting intrusion over network system has been designed which is called Intrusion Detection System (IDS) whose purpose is to perceive a variety of anomalies and intrusions. In intrusion detection system various data mining algorithm has been applied such as ID3, KNN, K-means etc. The analysis of different feature selection approach is performed in widely used KDDCUP’99 dataset. This paper, presents the literature study of different methodologies developed by researchers with their merits and demerits.
