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A Detailed Investigation and Analysis of using Machine Learning Techniques for Intrusion Detection Abstract-Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches. However, they are not very successful in identifying all types of intrusions. In this…
DDoS Attack Detection using Machine Learning Techniques in Cloud Computing Environments Abstract-Cloud computing is a revolution in IT technology that provides scalable, virtualized on-demand resources to the end users with greater ?exibility, less maintenance and reduced infrastructure cost. These resources are supervised by different management organizations and provided over Internet using known networking protocols, standards…
Effective Features to Classify Big Data Using Social Internet of Things Abstract-Social Internet of Things (SIoT) supports many novel applications and networking services for the IoT in a more powerful and productive way. In this paper, we have introduced a hierarchical framework for feature extraction in SIoT big data using map-reduced framework along with a…
Facial Expressions Recognition Based on Cognition and Mapped Binary Patterns Abstract-In this paper, a new expression recognition approach is presented based on cognition and mapped binary patterns. At first, the approach is based on the LBP operator to extract the facial contours. Secondly, the establishment of pseudo 3D model is used to segment face area…
A Review of Machine Learning Methodologies for Network Intrusion Detection Abstract-The Internet continues to spread itself over the globe, providing a great opportunity for various threats which are growing on a daily basis. Current static detection techniques only detect known malicious attacks and they also require frequent updates to signature-based databases. To reduce this work,…
Plant Diseases Prediction Using Image Processing and Machine Learning Techniques: Survey Abstract-This survey literature discusses on mechanisms to early detect agricultural plant leaves? diseases for the quantitative and qualitative safety of the products using machine learning and image processing techniques. As a result, in this survey, different machine learning techniques, such as Artificial Neural Network,…
Prediction of Heart Disease Using Machine Learning Algorithms Abstract-Heart disease is the one of the most common disease. This disease is quite common now a days we used different attributes which can relate to this heart diseases well to find the better method to predict and we also used algorithms for prediction. Naive Bayes, algorithm…
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Foreign Direct Investment in the Development of Indian Economy