N. Jaisankar

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Intrusion Detection Systems have been used along with various techniques to detect intrusions in networks, distributed databases and web databases. However, all these systems are able to detect the intruders with high false alarm rate. In this paper, we propose a new intrusion detection model using the combination of outlier detection method and multiclass(More)
In today's world data mining plays a vital role for prediction of diseases in medical industry. Stroke is a lifethreatning disease that has been ranked third leading cause of death in states and in developing countries. The stroke is a leading cause of serious, long term disability in US. The time taken to recover from stroke disease depends on(More)
In recent years, as the usage of internet increases, new type of attacks on network information is also increasing continuously. Intrusion Detection System (IDS) is an important component that provides security to the network information by identifying various kinds of attacks occurring in the networks. Currently, there are many researches who are working(More)
An intrusion detection system framework using mobile agents is a layered framework mechanism designed to support heterogeneous network environments to identify intruders at its best. Traditional computer misuse detection techniques can identify known attacks efficiently, but perform very poorly in other cases. Anomaly detection has the potential to detect(More)
Recently, many Intrusion Detection Systems (IDS) have been proposed to detect and report about malicious nodes in Mobile Ad Hoc Networks (MANETs) by using various outlier detection algorithms. All these algorithms have limitations in terms of accuracy and speed. In this paper, we propose a new outlier detection algorithm called Weighted Distance Based(More)
Data mining now-a-days plays an important role in prediction of diseases in health care industry. The Health care industry utilizes data mining Techniques and finds out the information which is hidden in the data set. Many diagnoses have been done for predicting diseases. Without knowing the knowledge of profound medicine and clinical experience the(More)
In mobile ad hoc networks the nodes are dynamically changing and they have a fully decentralized topology. Hence, security is hard to achieve due to the dynamic nature of the relationships between the participating nodes as well as the vulnerabilities and limitations of the wireless transmissions medium. We proposed a novel agent based framework to monitor,(More)
Data mining along with soft computing techniques helps to unravel hidden relationships and diagnose diseases efficiently even with uncertainties and inaccuracies. Coronary Heart Disease (CHD) is a killer disease leading to heart attack and sudden deaths. Since the diagnosis involves vague symptoms and tedious procedures, diagnosis is usually time-consuming(More)
The Cloud Computing is a next generation platform, which provides virtualization with resource pool. There are three types of cloud service models, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). Most of the scientific research focus on IaaS model, which manage virtualization and storage. IaaS allows(More)