Undergraduate and Graduate Course Descriptions, 2022 Summer

Wright State University undergraduate and graduate course descriptions from Summer 2022

Undergraduate and Graduate Course Descriptions, 2021 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2021

Assistive Model to Generate Chord Progressions Using Genetic Programming with Artificial Immune Properties

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Undergraduate and Graduate Course Descriptions, 2021 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2021

Undergraduate and Graduate Course Descriptions, 2021 Summer

Wright State University undergraduate and graduate course descriptions from Summer 2021

Undergraduate and Graduate Course Descriptions, 2023 Spring

Wright State University undergraduate and graduate course descriptions from Spring 2023

Undergraduate and Graduate Course Descriptions, 2020 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2020

Using Sequence Analysis to Perform Application-Based Anomaly Detection within an Artificial Immune System Framework

The Air Force and other Department of Defense (DoD) computer systems typically rely on traditional signature-based network IDSs to detect various types of attempted or successful attacks. Signature-based methods are limited to detecting known attacks or similar variants; anomaly-based systems, by contrast, alert on behaviors previously unseen. The development of an effective anomaly-detecting, application based IDS would increase the Air Force\u27s ability to ward off attacks that are not detected by signature-based network IDSs, thus strengthening the layered defenses necessary to acquire and maintain safe, secure communication capability. This system follows the Artificial Immune System (AIS) framework, which relies on a sense of self , or normal system states to determine potentially dangerous abnormalities ( non self ). A method for anomaly detection is introduced in which self\u27 is defined by sequences of events that define an application\u27s execution path. A set of antibodies that act as sequence detectors are developed and used to attempt to identify modified data within a synthetic test set

Undergraduate and Graduate Course Descriptions, 2016 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2016

Undergraduate and Graduate Course Descriptions, 2017 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2017