Computer Sciences Commons^™

Importance Of Verification And Validation Of Data Sources In Attaining Information Superiority, Gautham Kasinath, Leisa J. Armstrong

Research outputs pre 2011

Information superiority has been defined as a state that is achieved when a competitive advantage is derived from the ability to exploit a superior information position. To achieve such a superior information position enterprises and nations, alike, must not only collect and record correct, accurate, timely and useful information but also ensure that information recorded is not lost to competitors due to lack of comprehensive security and leaks. Further, enterprises that aim to attain information superiority must also ensure mechanisms of validating and verifying information to reduce the chances of mis-information. Although, research has been carried out into ways to …

Evolving Players For An Ancient Game: Hnefatafl, Philip Hingston

Research outputs pre 2011

Hnefatafl is an ancient Norse game - an ancestor of chess. In this paper, we report on the development of computer players for this game. In the spirit of Blondie24, we evolve neural networks as board evaluation functions for different versions of the game. An unusual aspect of this game is that there is no general agreement on the rules: it is no longer much played, and game historians attempt to infer the rules from scraps of historical texts, with ambiguities often resolved on gut feeling as to what the rules must have been in order to achieve a balanced …

Experiments With Monte Carlo Othello, Philip Hingston, Martin Masek

Research outputs pre 2011

In this paper, we report on our experiments with using Monte Carlo simulation (specifically the UCT algorithm) as the basis for an Othello playing program. Monte Carlo methods have been used for other games in the past, most recently and notably in successful Go playing programs. We show that Monte Carlo-based players have potential for Othello, and that evolutionary algorithms can be used to improve their strength.

Use Of Online Tools To Aid Group Work, Martin Masek

Research outputs pre 2011

In this paper we examine the use of online tools – namely wikis and blogs in aiding group work for a large and diverse student-based team. The results suggest that while students see the generic skill of being able to work in a team as important for their future career, using blogs and wikis is not seen to be as important. It was also found that the flexibility of these tools provides more motivation for students than having assessment based on their use.

Dual Constraint Problem Optimization Using A Natural Approach: Genetic Algorithm And Simulated Annealing, James P. Sweeney

UNF Graduate Theses and Dissertations

Constraint optimization problems with multiple constraints and a large solution domain are NP hard and span almost all industries in a variety of applications. One such application is the optimization of resource scheduling in a "pay per use" grid environment. Charging for these resources based on demand is often referred to as Utility Computing, where resource providers lease computing power with varying costs based on processing speed. Consumers using this resource have time and cost constraints associated with each job they submit. Determining the optimal way to divide the job among the available resources with regard to the time and …

A Model-Driven Approach To Job/Task Composition In Cluster Computing, Yogesh Kanitkar, Konstantin Läufer, Neeraj Mehta, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

In the general area of high-performance computing, object-oriented methods have gone largely unnoticed. In contrast, the Computational Neighborhood (CN), a framework for parallel and distributed computing with a focus on cluster computing, was designed from ground up to be object-oriented. This paper describes how we have successfully used UML in the following model-driven, generative approach to job/task composition in CN. We model CN jobs using activity diagrams in any modeling tool with support for XMI, an XML-based external representation of UML models. We then export the activity diagrams and use our XSLT-based tool to transform the resulting XMI representation to …

Identifying Non-Volatile Data Storage Areas: Unique Notebook Identification Information As Digital Evidence, Nikica Budimir, Jill Slay

Journal of Digital Forensics, Security and Law

The research reported in this paper introduces new techniques to aid in the identification of recovered notebook computers so they may be returned to the rightful owner. We identify non-volatile data storage areas as a means of facilitating the safe storing of computer identification information. A forensic proof of concept tool has been designed to test the feasibility of several storage locations identified within this work to hold the data needed to uniquely identify a computer. The tool was used to perform the creation and extraction of created information in order to allow the analysis of the non-volatile storage locations …

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Making Molehills Out Of Mountains: Bringing Security Research To The Classroom, Richard G. Taylor

Journal of Digital Forensics, Security and Law

Security research published in academic journals rarely finds its way to the business community or into the classroom. Even though the research is of high quality, it is written in a manner that is difficult to read and to understand. This paper argues that one way to get this academic research into the business community is to incorporate it into security classrooms. To do so, however, academic articles need to be adapted into a classroom-friendly format. This paper suggests ways to do this and provides an example of an academic article that was adapted for use in a security management …

The Common Body Of Knowledge: A Framework To Promote Relevant Information Security Research, Kenneth J. Knapp, F. N. Ford, Thomas E. Marshall, R. K. Rainer

Journal of Digital Forensics, Security and Law

This study proposes using an established common body of knowledge (CBK) as one means of organizing information security literature. Consistent with calls for more relevant information systems (IS) research, this industrydeveloped framework can motivate future research towards topics that are important to the security practitioner. In this review, forty-eight articles from ten IS journals from 1995 to 2004 are selected and cross-referenced to the ten domains of the information security CBK. Further, we distinguish articles as empirical research, frameworks, or tutorials. Generally, this study identified a need for additional empirical research in every CBK domain including topics related to legal …

Book Review: Computer Forensics: Principles And Practices, Gary C. Kessler

Journal of Digital Forensics, Security and Law

This issue presents the third Book Review column for the JDFSL. It is an experiment to broaden the services that the journal provides to readers, so we are anxious to get your reaction. Is the column useful and interesting? Should we include more than one review per issue? Should we also review products? Do you have suggested books/products for review and/or do you want to write a review? All of this type of feedback -- and more -- is appreciated. Please feel free to send comments to Gary Kessler ([email protected]) or Glenn Dardick ([email protected]).

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Investigating Information Structure Of Phishing Emails Based On Persuasive Communication Perspective, Ki J. Lee, Il-Yeol Song

Journal of Digital Forensics, Security and Law

Current approaches of phishing filters depend on classifying messages based on textually discernable features such as IP-based URLs or domain names as those features that can be easily extracted from a given phishing message. However, in the same sense, those easily perceptible features can be easily manipulated by sophisticated phishers. Therefore, it is important that universal patterns of phishing messages should be identified for feature extraction to serve as a basis for text classification. In this paper, we demonstrate that user perception regarding phishing message can be identified in central and peripheral routes of information processing. We also present a …

The Design And Implementation Of An Automated Security Compliance Toolkit: A Pedagogical Exercise, Guillermo Francia, Brian Estes, Rahjima Francia, Vu Nguyen, Alex Scroggins

Journal of Digital Forensics, Security and Law

The demand, through government regulations, for the preservation of the security, integrity, and privacy of corporate and customer information is increasing at an unprecedented pace. Government and private entities struggle to comply with these regulations through various means—both automated and manual controls. This paper presents an automated security compliance toolkit that is designed and developed using mostly open source tools to demonstrate that 1) meeting regulatory compliance does not need to be a very expensive proposition and 2) an undertaking of this magnitude could be served as a pedagogical exercise for students in the areas of collaboration, project management, software …

An Exploratory Analysis Of Computer Mediated Communications On Cyberstalking Severity, Stephen D. Barnes, David P. Biros

Journal of Digital Forensics, Security and Law

The interaction between disjunctive interpersonal relationships, those where the parties to the relationship disagree on the goals of the relationship, and the use of computer mediated communications channels is a relatively unexplored domain. Bargh (2002) suggests that CMC channels can amplify the development of interpersonal relationships, and notes that the effect is not constant across communications activities. This proposal suggests a line of research that explores the interaction between computer mediated communications (CMC) and stalking, which is a common form of disjunctive relationships. Field data from cyberstalking cases will be used to look at the effects of CMC channels on …

Exploration Of Computational Methods For Classification Of Movement Intention During Human Voluntary Movement From Single Trial Eeg, Ou Bai, Peter Lin, Sherry Vorbach, Jiang Li, Steve Furlani, Mark Hallett

Electrical & Computer Engineering Faculty Publications

Objective: To explore effective combinations of computational methods for the prediction of movement intention preceding the production of self-paced right and left hand movements from single trial scalp electroencephalogram (EEG).

Methods: Twelve naïve subjects performed self-paced movements consisting of three key strokes with either hand. EEG was recorded from 128 channels. The exploration was performed offline on single trial EEG data. We proposed that a successful computational procedure for classification would consist of spatial filtering, temporal filtering, feature selection, and pattern classification. A systematic investigation was performed with combinations of spatial filtering using principal component analysis (PCA), independent component analysis …

Validating Pareto Optimal Operation Parameters Of Polyp Detection Algorithms For Ct Colonography, Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers, Maryellen L. Giger (Ed.), Nico Karssemeijer (Ed.)

Electrical & Computer Engineering Faculty Publications

We evaluated a Pareto front-based multi-objective evolutionary algorithm for optimizing our CT colonography (CTC) computer-aided detection (CAD) system. The system identifies colonic polyps based on curvature and volumetric based features, where a set of thresholds for these features was optimized by the evolutionary algorithm. We utilized a two-fold cross-validation (CV) method to test if the optimized thresholds can be generalized to new data sets. We performed the CV method on 133 patients; each patient had a prone and a supine scan. There were 103 colonoscopically confirmed polyps resulting in 188 positive detections in CTC reading from either the prone or …

Generating Ontologies Via Language Components And Ontology Reuse, Deryle W. Lonsdale, Yihong Ding, David W. Embley, Martin Hepp, Li Xu

Faculty Publications

Realizing the Semantic Web involves creating ontologies, a tedious and costly challenge. Reuse can reduce the cost of ontology engineering. Semantic Web ontologies can provide useful input for ontology reuse. However, the automated reuse of such ontologies remains underexplored. This paper presents a generic architecture for automated ontology reuse. With our implementation of this architecture, we show the practicality of automating ontology generation through ontology reuse. We experimented with a large generic ontology as a basis for automatically generating domain ontologies that fit the scope of sample natural-language web pages. The results were encouraging, resulting in five lessons pertinent to …

Repurposing A Roomba: Evaluating And Training Behavior In A Simple Agent, Donald Samuel Abbott-Mccune

Theses and Dissertations

Recent attempts to reprogram a Roomba to be used as a simple agent have led to interesting behavior. Observation has shown that the behavior of the Roomba is not only dependent on the precepts of the Roomba, but also relies heavily on the uncontrollable environmental conditions that the Roomba is placed in. Ultimately this makes the Roomba a great platform to test and teach aspects of artificial intelligence. This paper will show how most of the tested environmental conditions are mitigated by a learning agent that will adjust behavior dependent on the precepts that are received.

Observational Intelligence: An Overview Of Computational Actual Entities And Their Use As Agents Of Artificial Intelligence, Brandon Scot Saunders

Theses and Dissertations

This thesis' focus is on the use of Alfred North Whitehead's concept of Actual Entities as a computational tool for computer science and the introduction of a novel usage of Actual Entities as learning agents. Actual Entities are vector based agents that interact within their environment through a process called prehension. It is the combined effect of multiple Actual Entities working within a Colony of Prehending Entities that produces emergent, intelligent behavior. It is not always the case that prehension functions for desired behavior are known beforehand and frequently the functions are too complex to construct by hand. Through the …

Book Review: Conquest In Cyberspace: National Security And Information Warfare, Gary C. Kessler

Publications

This document is Dr. Kessler's review of Conquest in Cyberspace: National Security and Information Warfare, by Martin C. Libicki. Cambridge University Press, 2007. ISBN 978-0-521-69214-4

Predicting Class Life Cycle Maintenance Effort Based On Class Complexity, Lindsey B. Hays

UNF Graduate Theses and Dissertations

In the software industry today many programmers spend countless hours maintaining existing Java programs. The cost of code maintenance affects a company in many ways such as the budget, time management and resources. Making management decisions regarding these issues could be assisted, if maintenance cost of Java classes could be predicted.

The goal of this thesis was to create a new model predicting the maintenance effort based on the Java class complexity. It seems clear the complexity of a Java class can directly relate to the amount of time it will take to perform maintenance on the class.

To develop …

Using A Cultural Lens To Interpret The Success And Failure Of Regional Internet Community Portals In Promoting E-Commerce Adoption By Smes, Denise Gengatharen, Craig Standing

Research outputs pre 2011

In Western Australia (WA), efforts to increase SME e-commerce adoption have been integrated with some governmentlunded collaboratively-owned regional Internet community portals. This paper examines three such cases, two in regional WA and one in the metropolitan area, to determine the impact of cultural factors on the success of these portals. Results indicate that the collectivist culture of the communities in the two regional areas played an important role in initially sustaining the portals. Subsequently, legitimacy and mimetic pressure also contributed to SME involvement in these portals resulting in an overall increase in awareness by this sector of the benefits and …

It Sharps: Issues Relating To Securely Disposing Of Hard Disks From Medical Information Systems, Craig Valli

Research outputs pre 2011

Organisations worldwide are failing to adequately erase data from hard disks before disposing of them. Recent studies have uncovered significant and highly confidential data from computer hard disks for sale in the second hand market using minimal foresic recovery techniques. Increasingly medical businesses are being required to use IT based systems to deliver or receive services. Also medical records are becoming electronic in nature and have significant secondary storage requirements. Given the increased use of IT in medical practice this paper examines the issues uncovered in the studies into recovery of remnant data from hard disks. The paper also explores …

Triangulation Based Static Wide Angle Laser Scanning For Obstacle Detection, Kaveh Sahba, Kamal Alameh, Clifton Smith

Research outputs pre 2011

This paper demonstrates discrete laser spot projection over a wide angle using a novel cylindrical quasi-cavity waveguide, with no moving parts. Furthermore, the distance to each spot is calculated using active laser triangulation. The triangulation arrangement and the trajectory of principal rays are modelled using a system of linear equations based on optical geometry. Linear algebra is used to derive the unique baseline and outgoing angle of every projected beam. The system is calibrated by finding optimal values for uncertain instrumental parameters using constrained non-linear optimization. Distances calculated indoors result in accuracies of over 93%

Experimental Demonstration Of A Tunable Laser Using An Soa And An Opto-Vlsi Processor, Muhsen Aljada, Rong Zheng, Kamal Alameh, Yong Lee

Research outputs pre 2011

In this paper we propose and experimentally demonstrate a tunable laser structure cascading a semiconductor optical amplifier (SOA) that generates broadband amplified spontaneous emission and a reflective Opto-VLSI processor that dynamically reflects arbitrarily wavelengths and injects them back into the SOA, thus synthesizing an output signal of variable wavelength. The wavelength tunablility is performed using digital phase holograms uploaded on the Opto-VLSI processor. Experimental results demonstrate a tuning range from 1524nm to 1534nm, and show that the proposed tunable laser structure has a stable performance.

Design And Characterization Of Cmos/Soi Image Sensors, Igor Brouk, Kamal Alameh, Yael Nemirovsky

Research outputs pre 2011

The design, operation, and characterization of CMOS imagers implemented using: 1) "regular" CMOS wafers with a 0.5-mum CMOS analog process; 2) "regular" CMOS wafers with a 0.35-mum CMOS analog process; and 3) silicon-on-insulator (SOI) wafers in conjunction with a 0.35-mum CMOS analog process, are discussed in this paper. The performances of the studied imagers are compared in terms of quantum efficiency, dark current, and optical bandwidth. It is found that there is strong dependence of quantum efficiency of the photodiodes on the architecture of the image sensor. The results of this paper are useful for designing and modeling CMOS/SOI image …

Experimental Demonstration Of A Dynamic 10gbit/S Wdm Header/Label Recognition Structure, Muhsen Aljada, Kamal Alameh, Byeong Ha Lee, Yong Tak Lee, Kiegon Im, Se-Jong Baik

Research outputs pre 2011

In this paper, we experimentally demonstrate a dynamic wavelength-division-multiplexing (WDM) header/label recognition structure that processes on-the-fly WDM patterns. An opto-VLSI processor is used to dynamically generate digital phase holograms that control the wavelength components of the label/header to create digital wavelength profiles. An autocorrelation function of a high-peak is generated when a label bit pattern matches a digital wavelength profile. The main attractive feature of using an opto-VLSI processor is that the lookup table of matching digital wavelength profiles does not need modification when the data bit-rate is upgraded. The dynamic pattern recognition structure is experimentally demonstrated at 10 Gbit/s …

Pervasive 2d Barcodes For Camera Phone Applications, Hiroko Kato, Keng T. Tan

Research outputs pre 2011

In a previous study, we evaluated six 2D barcodes using eight criteria for standardization potential: omnidirectional symbol reading, support for low-resolution cameras, reading robustness under different lighting conditions, barcode reading distance, error correction capability, security, support for multiple character sets, and data capacity. We also considered the fidelity of the camera phone's captured image as a metric for gauging reading reliability. Here, we review the six 2D barcodes and then use an additional metric - a first-read rate - to quantitatively verify our earlier results and better gauge reading reliability.