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Denial of service (DOS) attack is a serious threat in the cloud which causes unavailability of cloud services to genuine users. Firewalls alone are not able to detect DOS attack because of the dynamic nature of the attack and masked identity. This paper proposes a cloud-based DOS attack detection model (CDOSD) which is setup through key feature selection using a new binary version of Artificial bee...
Feature subset selection becomes quite important and predominant in the case of data sets those are contained with higher number of variables. It discards insignificant variables and produces efficient and improved prediction performance on the class variables that is more cost effective and more reliable understanding of the data. Random forest has been emerged as a quite efficient and robust algorithm...
Today's computing are network based computing. Intrusion security is one of the major challenges of such computing facilities that have to deal with every time without compromising the system performance. In practical, no such intrusion detection system is implemented that can guarantee hundred percent true detection of intrusion and threats. In this paper, we have proposed a method of network intrusion...
Image segmentation is the most important and crucial part of image analysis system. The accuracy of any image analysis system is highly dependent on the accuracy of image segmentation. In this paper, we propose an image segmentation method that is based on Modified Self Organizing Feature Map. The proposed method classifies image pixels based on their intensity values for image segmentation. In proposed...
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