MSc. Dissertation Overview

Network Security through Data Analysis

In this dissertation, a review of traditional intrusion detection and log file analysis will be
presented as a prerequisite to point the advantages of the new systems. Various techniques and
tools for collecting and analysing network traffic datasets shall also be submitted. From the
techniques presented, an understanding on how to protect and improve protection for particular
systems are used shall be discussed. Exploration for the network, host, and service sensors for
capturing security data, store data traffic with relational databases, graph databases, language,
and other tools for analysis and visualization as well as detection of unusual phenomena shall
also be presented. Netflow shall do the source of network information. Techniques presented in
literature will form the basis for familiarization with coding languages such as R, Python, and
Hadoop, which will be used in the implementation of techniques for addressing network security
problems. Besides, identification of significant structures in systems with graph analysis and
determination of the traffic that crosses service ports in a network shall also be presented. A step
by step representation of the process for network mapping and inventory shall also form part of
the dissertation.

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