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  • Predicting electricity consumption using machine learning models With R and python 

    Authors:El Oraıby, Maryam
    Publisher and Date:(Kadir Has University, 2016)
    Electricity load forecasting has become an important field of interest in the last years. Antic- ipating the energy usage is vital to manage resources and avoid risk. Using machine learning techniques it is possible to predict the electricity consumption in the future with high accuracy. This study proposes a machine learning model for electricity usage prediction based on size and time. For that aim multiple predictive models are built and evaluated using two powerful open source tools for machine ...

  • Protecting openflow switches against denial of service attacks 

    This thesis presents a novel approach to protect OpenFlow switches against a type of Denial of Service (DOS) attacks. OpenFlow switches are the core of Software Defined Networks (SDN) and they are very flexible programmable and can be used for several functionalities within a network [1]. As the control algorithm of the switch is implemented on a separate computer (Controller) this software can be implemented on any part of the network packet including Layers 2 3 and 4 headers. Therefore an OpenFlow ...