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IT- Network Security Evaluation. Using Deep Neural Network
Beschreibung:
Projektarbeit aus dem Jahr 2020 im Fachbereich Informatik - IT-Security, Jain University, Sprache: Deutsch, Abstract: One of the most significant systems in computer network security assurance is the assessment of computer network security. With the goal of enhancing the accuracy and the rapidity of the process of security evaluation in a computer network this project aims to use Deep Neural Network DNN to carry on the task of security evaluating.
Consequently, this paper will analyse the results to decide if this method will enhance the process of evaluating the security of the network in terms of accuracy. The DNN will be build with python on Anaconda IDE, it will be trained and tested by a specific group of network security indicators, then the output that will be assigned to one of the security levels that have been already defined.
Consequently, this paper will analyse the results to decide if this method will enhance the process of evaluating the security of the network in terms of accuracy. The DNN will be build with python on Anaconda IDE, it will be trained and tested by a specific group of network security indicators, then the output that will be assigned to one of the security levels that have been already defined.