EXTRINSIC CHANNEL-LIKE FINGERPRINT EMBEDDING FOR TRANSMITTER AUTHENTICATION IN WIRELESS SYSTEMS

We present a physical-layer fingerprint-embedding scheme for wireless signals, focusing on multiple input multiple output (MIMO) and orthogonal frequency division multiplexing (OFDM) transmissions, where the fingerprint signal conveys a low capacity communication suitable for authenticating the transmission and further facilitating secure communications. Our system strives to embed the fingerprint message into the noise subspace of the channel estimates obtained by the receiver, using a number of signal spreading techniques. When side information of channel state is known and leveraged by the transmitter, the performance of the fingerprint embedding can be improved. When channel state information is not known, blind spreading techniques are applied. The fingerprint message is only visible to aware receivers who explicitly preform detection of the signal, but is invisible to receivers employing typical channel equalization. A taxonomy of overlay designs is discussed and these designs are explored through experiment using time-varying channel-state information (CSI) recorded from IEEE802.16e Mobile WiMax base stations. The performance of the fingerprint signal as received by a WiMax subscriber is demonstrated using CSI measurements derived from the downlink signal. Detection performance for the digital fingerprint message in time-varying channel conditions is also presented via simulation

Undergraduate and Graduate Course Descriptions, 2022 Summer

Wright State University undergraduate and graduate course descriptions from Summer 2022

Undergraduate and Graduate Course Descriptions, 2018 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2018

Undergraduate and Graduate Course Descriptions, 2018 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2018

Cognitive Foundations for Visual Analytics

In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions

Undergraduate and Graduate Course Descriptions, 2019 Spring

Wright State University undergraduate and graduate course descriptions from Spring 2019

Undergraduate and Graduate Course Descriptions, 2019 Spring

Wright State University undergraduate and graduate course descriptions from Spring 2019

Undergraduate and Graduate Course Descriptions, 2023 Spring

Wright State University undergraduate and graduate course descriptions from Spring 2023

Undergraduate and Graduate Course Descriptions, 2021 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2021