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This paper reviewed WBAN communication architecture, security and privacy requirements and security threats and the primary challenges in WBANs to these systems based on the latest standards and publications and covers the state-of-art security measures and research. Expand
Knowledge and Information Systems
Taxonomy of indexing techniques is developed to provide insight to enable researchers understand and select a technique as a basis to design an indexing mechanism with reduced time and space consumption for BD-MCC.Expand
A review and categorization of existing IDPS schemes in terms of traditional artificial computational intelligence with a multi-agent support, which amalgamates a fuzzy reinforcement learning knowledge management by creating a far superior technological platform that is far more accurate in detecting attacks. Expand
This study evaluates five machine learning classifiers, namely Naive Bayes, k-nearest neighbour, decision tree, multi-layer perceptron, and support vector machine and finds that knearest neighbour provides the optimum results in terms of performance among the classifiers. Expand
In this paper, a new hybrid approach by combining the Support Vector Machine (SVM) with Wavelet Transform (WT) algorithm is developed to predict horizontal global solar radiation. The predictions are… Expand
Medicine, Computer Science
The experimental results show that the proposed model detects all the stages of DR unlike the current methods and performs better compared to state-of-the-art methods on the same Kaggle dataset. Expand
Abstract Owing to the scattered nature of Denial-of-Service attacks, it is tremendously challenging to detect such malicious behavior using traditional intrusion detection systems in Wireless Sensor… Expand
A hybrid approach to predict the electric energy usage of weather-sensitive loads using the clustering paradigm along with ANN and SVM approaches for accurate short-term prediction of electric energyusage, using weather data is presented.Expand
During the past two decades of e-commerce growth, the concept of a business model has become increasingly popular. More recently, the research on this realm has grown rapidly, with diverse research… Expand
Medicine, Computer Science
The Science of the total environment
The current research proposes the state-of-the-art ensemble models of boosted generalized linear model (GLMBoost) and random forest (RF) and Bayesian generalizedlinear model (BayesGLM) methods for higher performance modeling and a pre-processing method is used to eliminate redundant variables from the modeling process. Expand
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