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WHDL - 00013555

Development and Implementation of Neural Network on IT Audit Logs

Jarrett M. Sheehan

Resource Types

Academic (Thesis, Dissertation, Etc.)

Resource Languages

English

Institutional Repository

Northwest Nazarene University

Description / Abstract

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science

Companies now are constantly flooded with data. Things such as breaches can get lost in that data flow and without an appropriate solution, it could cause a breach to go unnoticed for up to six months. Northwest Nazarene University alone generates two gigabytes of data per day. One solution to this problem can be hiring people to sift through these logs manually. However, that process could take three people working full time to keep up with that flow of data. This project intends to train a neural network to automatically parse through the network logs and notify the network team of any anomaly it comes across.