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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148772
Doc. No : ET20564
Main Entry : Khaled Moharned Aly Labib
Title Proper : Machine Learning Tools for Detecting and Visualizing Attacks on Computer Systems
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The field of computer security has been the focus of many researchers in the past decade. The need formore secure networks is ever growing with the phenomenal growth of network-based applications in therecent years. Many methods and approaches have been devised to enhance the security of computers andnetworks.This dissertation focuses on three aspects of computer network security: (a) visualization of anomalies innetwork traffic, (b) a common platform for developing and testing anomaly detection algorithms, and (c)enhancing the performance of an existing clustering algorithm by implementing it as a hardware circuit forthe purpose of detecting anomalies in network traffic..
Subject : Electericl tess
: برق
electronic file name : TL43703.pdf
Title and statement of responsibility and : Machine Learning Tools for Detecting and Visualizing Attacks on Computer Systems [Thesis]
 
 
 
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