Computer Sciences Commons^™

Metrics For Aspect Mining Visualization, Gisle J. Jorgensen

CCAC Theses and Dissertations

Aspect oriented programming has over the last decade become the subject of intense research within the domain of software engineering. Aspect mining, which is concerned with identification of cross cutting concerns in legacy software, is an important part of this domain. Aspect refactoring takes the identified cross cutting concerns and converts these into new software constructs called aspects. Software that have been transformed using this process becomes more modularized and easier to comprehend and maintain. The first attempts at mining for aspects were dominated by manual searching and parsing through source code using simple tools. More sophisticated techniques have since …

An Empirical Assessment Of Senior Citizens’ Cybersecurity Awareness, Computer Self-Efficacy, Perceived Risk Of Identity Theft, Attitude, And Motivation To Acquire Cybersecurity Skills, Carlene G. Blackwood-Brown

CCAC Theses and Dissertations

Cyber-attacks on Internet users have caused billions of dollars in losses annually. Cybercriminals launch attacks via threat vectors such as unsecured wireless networks and phishing attacks on Internet users who are usually not aware of such attacks. Senior citizens are one of the most vulnerable groups who are prone to cyber-attacks, and this is largely due to their limited cybersecurity awareness and skills. Within the last decade, there has been a significant increase in Internet usage among senior citizens. It was documented that senior citizens had the greatest rate of increase in Internet usage over all the other age groups …

Novel Alert Visualization: The Development Of A Visual Analytics Prototype For Mitigation Of Malicious Insider Cyber Threats, Karla A. Clarke

CCAC Theses and Dissertations

Cyber insider threat is one of the most difficult risks to mitigate in organizations. However, innovative validated visualizations for cyber analysts to better decipher and react to detected anomalies has not been reported in literature or in industry. Attacks caused by malicious insiders can cause millions of dollars in losses to an organization. Though there have been advances in Intrusion Detection Systems (IDSs) over the last three decades, traditional IDSs do not specialize in anomaly identification caused by insiders. There is also a profuse amount of data being presented to cyber analysts when deciphering big data and reacting to data …

Machine Learning Methods For Septic Shock Prediction, Aiman A. Darwiche

CCAC Theses and Dissertations

Sepsis is an organ dysfunction life-threatening disease that is caused by a dysregulated body response to infection. Sepsis is difficult to detect at an early stage, and when not detected early, is difficult to treat and results in high mortality rates. Developing improved methods for identifying patients in high risk of suffering septic shock has been the focus of much research in recent years. Building on this body of literature, this dissertation develops an improved method for septic shock prediction. Using the data from the MMIC-III database, an ensemble classifier is trained to identify high-risk patients. A robust prediction model …

Machine Learning For Exploring State Space Structure In Genetic Regulatory Networks, Rodney H. Thomas

CCAC Theses and Dissertations

Genetic regulatory networks (GRN) offer a useful model for clinical biology. Specifically, such networks capture interactions among genes, proteins, and other metabolic factors. Unfortunately, it is difficult to understand and predict the behavior of networks that are of realistic size and complexity. In this dissertation, behavior refers to the trajectory of a state, through a series of state transitions over time, to an attractor in the network. This project assumes asynchronous Boolean networks, implying that a state may transition to more than one attractor. The goal of this project is to efficiently identify a network's set of attractors and to …

The Impact Of Cost On Feature Selection For Classifiers, Richard Clyde Mccrae

CCAC Theses and Dissertations

Supervised machine learning models are increasingly being used for medical diagnosis. The diagnostic problem is formulated as a binary classification task in which trained classifiers make predictions based on a set of input features. In diagnosis, these features are typically procedures or tests with associated costs. The cost of applying a trained classifier for diagnosis may be estimated as the total cost of obtaining values for the features that serve as inputs for the classifier. Obtaining classifiers based on a low cost set of input features with acceptable classification accuracy is of interest to practitioners and researchers. What makes this …

Assessment Of Factors Influencing Intent-To-Use Big Data Analytics In An Organization: A Survey Study, Wayne Madhlangobe

CCAC Theses and Dissertations

The central question was how the relationship between trust-in-technology and intent-to-use Big Data Analytics in an organization is mediated by both Perceived Risk and Perceived Usefulness. Big Data Analytics is quickly becoming a critically important driver for business success. Many organizations are increasing their Information Technology budgets on Big Data Analytics capabilities. Technology Acceptance Model stands out as a critical theoretical lens primarily due to its assessment approach and predictive explanatory capacity to explain individual behaviors in the adoption of technology. Big Data Analytics use in this study was considered a voluntary act, therefore, well aligned with the Theory of …

A Novel Cooperative Intrusion Detection System For Mobile Ad Hoc Networks, Adam Solomon

CCAC Theses and Dissertations

Mobile ad hoc networks (MANETs) have experienced rapid growth in their use for various military, medical, and commercial scenarios. This is due to their dynamic nature that enables the deployment of such networks, in any target environment, without the need for a pre-existing infrastructure. On the other hand, the unique characteristics of MANETs, such as the lack of central networking points, limited wireless range, and constrained resources, have made the quest for securing such networks a challenging task. A large number of studies have focused on intrusion detection systems (IDSs) as a solid line of defense against various attacks targeting …

Development And Validation Of A Proof-Of-Concept Prototype For Analytics-Based Malicious Cybersecurity Insider Threat In A Real-Time Identification System, Angel L. Hueca

CCAC Theses and Dissertations

Insider threat has continued to be one of the most difficult cybersecurity threat vectors detectable by contemporary technologies. Most organizations apply standard technology-based practices to detect unusual network activity. While there have been significant advances in intrusion detection systems (IDS) as well as security incident and event management solutions (SIEM), these technologies fail to take into consideration the human aspects of personality and emotion in computer use and network activity, since insider threats are human-initiated. External influencers impact how an end-user interacts with both colleagues and organizational resources. Taking into consideration external influencers, such as personality, changes in organizational polices …

Assistive Technology Guidelines For Higher Education Disability Support Staff, Brenda Delee

CCAC Theses and Dissertations

With the changing laws and effective integration of assistive technology into the classroom environment, students can have the provision of multiple means to complete their work with greater independence. In post secondary education, any student who discloses a sensory, cognitive, or physical disability is eligible to request and receive assistive technology and other services. When used correctly, assistive technology can help students with reading, writing, math, and communication skills. With a possible influx of students, disability support staff must be prepared and willing to meet the needs and address issues relating to students with disabilities. If their needs are not …

Computer-Supported Collaborative Learning Using Augmented And Virtual Reality In Museum Education, Ronald Punako Jr.

CCAC Theses and Dissertations

Recent advancements in the cost, availability, and capability of augmented reality (AR) and virtual reality (VR) devices and software are spurring their mass distribution to the public. This fundamental shift in the use of AR and VR predominantly from military and academic research laboratories to the public presents new opportunities and challenges for the design of instructional technology. While studies of AR and VR have been conducted to inform the design of individual instructional products, few studies have focused on computer-supported collaborative learning (CSCL) products in which AR and VR learners work together toward shared learning goals.

The museum education …

Perceptions Of Female Cybersecurity Professionals Toward Factors That Encourage Females To The Cybersecurity Field, Kembley Kay Lingelbach

CCAC Theses and Dissertations

Despite multiple national, educational, and industry initiatives, women continue to be underrepresented in the cybersecurity field. Only 11% of cybersecurity professionals, globally, are female. This contributes to the growing overall shortage of workers in the field. This research addressed the significant underrepresentation of females in the cybersecurity workforce. There are many practitioner and industry studies that suggest self-efficacy, discrimination and organizational culture play important roles in the low rate of women in the cybersecurity field. A limited number of scholarly studies identify causal factors; however, there is not a general consensus or framework to explain the problem thoroughly. Moreover, there …

Exploring Generational Differences In Text Messaging Usage And Habits, Daniel Wayne Long

CCAC Theses and Dissertations

Members of society today embrace multiple communication media for various purposes and intents. Text messaging has been identified as the medium of choice for continual relationship maintenance and text messaging from mobile devices overshadows all other media forms for the support of social connections. Text messaging is changing everything from how operators market their plans to how advertisers and service providers reach consumers. But just as technology usage of social media and internet access are different across generational boundaries, text messaging usage and habits may also be different for various generational groups. The majority of peer-reviewed research regarding text messaging …

Evaluation Of Machine Learning Techniques For Early Identification Of At-Risk Students, Mansour Hamoud Awaji

CCAC Theses and Dissertations

Student attrition is one of the long-standing problems facing higher education institutions despite the extensive research that has been undertaken to address it. To increase students’ success and retention rates, there is a need for early alert systems that facilitate the identification of at-risk students so that remedial measures may be taken in time to reduce the risk. However, incorporating ML predictive models into early warning systems face two main challenges: improving the accuracy of timely predictions and the generalizability of predictive models across on-campus and online courses. The goal of this study was to develop and evaluate predictive models …

The Influence Of Website Design On Online Trust In Electronic Commerce Retailing Environments, Dinesh Khialani

CCAC Theses and Dissertations

E-commerce retail sales continue to experience significant growth in the United States (U.S.) annually. However, the contribution of e-commerce retail sales towards total retail sales in the U.S. remains low. Furthermore, the growth of e-commerce retail sales from year to year as a percentage of total retail sales in the U.S. is also fractional. The lack of online trust by consumers has been cited as a significant barrier to transacting online and a possible cause of this slow-moving trend.

E-commerce retail sales are paramount to the success and profitability of online merchants. It remains critical to understand the underlying determinants …

Using Web Conferencing Technology To Foster Inclusive Course Experiences For Deaf And Hard-Of-Hearing Students, Elissa Weeden

CCAC Theses and Dissertations

A mainstream course has several components that deaf and hard-of-hearing (DHH) students must reconcile. In class, components can include the instructor, projection display, whiteboard, interpreting, and real-time captioning. Outside the classroom, components can include materials from the instructor, notes generated by a note-taker, and a lecture transcript generated via real-time captioning. Web conferencing software can be harnessed to create inclusive experiences for DHH students. Such software can place all components of a class session on a single screen to create a composite screen solution that can be viewed by students in real-time and recorded for later, self-paced review. A composite …

Multidimensional Knowledge Flow Dynamics In Context, Lina Lo

CCAC Theses and Dissertations

Knowledge is a sustainable advantage and knowledge assets can increase value with use. A snowball effect of knowledge advantage advocates effective knowledge management and fosters its continual growth as it flows. Knowledge, however, flows unevenly throughout an organization and the problem is that the fundamental dynamics of these flows are still not well characterized in theoretical and computational models. This study built on existing work—knowledge-flow theory, need knowledge generation, and the critical success factors for enterprise resource planning implementation—to examine the multidimensional knowledge-flow phenomenon in context, and used the case study methodology for knowledge-flow theory building. The research question was …

Semi-Informed Multi-Agent Patrol Strategies, Chad E. Hardin

CCAC Theses and Dissertations

The adversarial multi-agent patrol problem is an active research topic with many real-world applications such as physical robots guarding an area and software agents protecting a computer network. In it, agents patrol a graph looking for so-called critical vertices that are subject to attack by adversaries. The agents are unaware of which vertices are subject to attack by adversaries and when they encounter such a vertex they attempt to protect it from being compromised (an adversary must occupy the vertex it targets a certain amount of time for the attack to succeed). Even though the terms adversary and attack are …

A Developmental Research Of A Taxonomy For Employees’ Mobile Device Cyberslacking And Commitment To The Organization In The Context Of Productivity, Saleh Alharthi

CCAC Theses and Dissertations

While the introduction of the Internet facilitated the communication channels at the workplace to improve employees’ productivity, it also raised new challenges, such as Internet use for personal activities. Organizations face productivity losses due to employees’ involvement in counterproductive behaviors, such as cyberslacking. The frequency of mobile device cyberslacking is anticipated to increase due to continuous developments in online connectivity, applications, and the significant growth of mobile device usage worldwide. In addition, research has shown that employees’ commitment to their organization can encourage behaviors that positively influence productivity. Employee’s commitment is a crucial factor because it can benefit an organization …

An Operational Management Competency Model For Online Education Administrators, Fanniel Demarks

CCAC Theses and Dissertations

Despite the steady rise in online education and increasingly empirical studies on related learning technologies and technology support, there is considerable evidence that the field has not kept the pace with studies related to online education administrators (OEAs). Further investigation was needed into OEAs’ practice of day-to-day administration of their programs. Therefore, this study examined OEAs’ perceptions of their areas of responsibility, tasks to be accomplished and skills and knowledge needed for them to get the job done. A three-round Delphi research technique was employed as a structured group communication method between five participants to answer three research questions. The …

Development Of A Client-Side Evil Twin Attack Detection System For Public Wi-Fi Hotspots Based On Design Science Approach, Liliana R. Horne

CCAC Theses and Dissertations

Users and providers benefit considerably from public Wi-Fi hotspots. Users receive wireless Internet access and providers draw new prospective customers. While users are able to enjoy the ease of Wi-Fi Internet hotspot networks in public more conveniently, they are more susceptible to a particular type of fraud and identify theft, referred to as evil twin attack (ETA). Through setting up an ETA, an attacker can intercept sensitive data such as passwords or credit card information by snooping into the communication links. Since the objective of free open (unencrypted) public Wi-Fi hotspots is to provide ease of accessibility and to entice …

Multi-Robot Complete Coverage Using Directional Constraints, Stefanus Malan

CCAC Theses and Dissertations

Complete coverage relies on a path planning algorithm that will move one or more robots, including the actuator, sensor, or body of the robot, over the entire environment. Complete coverage of an unknown environment is used in applications like automated vacuum cleaning, carpet cleaning, lawn mowing, chemical or radioactive spill detection and cleanup, and humanitarian de-mining.

The environment is typically decomposed into smaller areas and then assigned to individual robots to cover. The robots typically use the Boustrophedon motion to cover the cells. The location and size of obstacles in the environment are unknown beforehand. An online algorithm using sensor-based …

Supporting Education For Students With Children Through Mobile Technology, Brenda C. Varner

CCAC Theses and Dissertations

The original goal of this project was to build a peer e-mentoring program for parents and measure the effect of the program on persistence. In spite of strong mentor participation, two terms of focused recruiting did not attract mentees. This sparked the question of why those who had successfully navigated the higher education system thought a peer e-mentoring program was needed but those in the process did not. A focused ethnography was designed to try to understand why students with children were resistant to peer e-mentoring. Students with children used technology to integrate the various roles of life. They used …

Measuring Cybersecurity Competency: An Exploratory Investigation Of The Cybersecurity Knowledge, Skills, And Abilities Necessary For Organizational Network Access Privileges, Richard Nilsen

CCAC Theses and Dissertations

Organizational information system users (OISU) that are victimized by cyber threats are contributing to major financial and information losses for individuals, businesses, and governments. Moreover, it has been argued that cybersecurity competency is critical for advancing economic prosperity and maintaining national security. The fact remains that technical cybersecurity controls may be rendered useless due to a lack of cybersecurity competency of OISUs. All OISUs, from accountants to cybersecurity forensics experts, can place organizational assets at risk. However, that risk is increased when OISUs do not have the cybersecurity competency necessary for operating an information system (IS). The main goal of …

Investigating The Perceived Influence Of Data Warehousing And Business Intelligence Maturity On Organizational Performance: A Mixed Methods Study, Charles F. Perkins

CCAC Theses and Dissertations

Over the past two decades organizations have made considerable investment in implementing data warehousing and business intelligence to improve business performance through facts-based decision-making. Although many of these organizations reap the rewards of their investments, others find that realizing the full value proposition is elusive. While the literature is rich with studies regarding data warehousing and business intelligence, much of the existing research focused on the initial experiences of adoption and implementation, and few yielded empirical data that reflected post-implementation conditions that lead to mature capabilities and improved business performance. Sited at the Defense Intelligence Agency where data warehousing and …

An Assessment Of The Influence Of Functional Diversity And Perceived Information Quality On The Intention To Use Collaboration Systems, Eric M. Spriggs

CCAC Theses and Dissertations

The role that perceived information quality has on the intention to use a computer supported collaborative work (CSCW) system in the Federal Highway Administration is the focus of this study. The purpose of this study was to examine the functional diversity of the contributors in a CSCW as a major determinant of perceived information quality. The study relied on the Technology Acceptance Model (TAM), the Theory of Reasoned Action (TRA) and the Theory of Planned Behavior (TPB) to propose a theoretical model which shows that perceived information quality influences perceived risk and trusting belief of the users of these systems. …

Automated Feature Engineering For Deep Neural Networks With Genetic Programming, Jeff T. Heaton

CCAC Theses and Dissertations

Feature engineering is a process that augments the feature vector of a machine learning model with calculated values that are designed to enhance the accuracy of a model’s predictions. Research has shown that the accuracy of models such as deep neural networks, support vector machines, and tree/forest-based algorithms sometimes benefit from feature engineering. Expressions that combine one or more of the original features usually create these engineered features. The choice of the exact structure of an engineered feature is dependent on the type of machine learning model in use. Previous research demonstrated that various model families benefit from different types …

Examining The Effects Of Distractive Multitasking With Peripheral Computing In The Classroom, Jaime Eduardo Puente

CCAC Theses and Dissertations

The growing use of information and communication technologies (ICTs) in college campuses has dramatically increased the potential for multitasking among students who have to juggle classes, school assignments, work, and recreational activities. These students believe that they have become more efficient by performing two or more tasks simultaneously. The use of technology, however, has changed the student’s ability to focus and attend to what they need to learn. Research has shown that multitasking divides students’ attention, which could have a negative impact on their cognition and learning. The purpose of this study was to examine the effects of distractive multitasking …

Organizational Information Dissemination Within Collaborative Networks Using Digital Communication Tools, Cristelia Hinojosa

CCAC Theses and Dissertations

While knowledge is one of an organization’s greatest assets, it remains a challenge to facilitate knowledge transfer between people within an organization. Social influence has been studied in its role of facilitating information diffusion, which is necessary for knowledge transfer to occur. Among this research, tie strength, a quantifiable characteristic of a social network that determines the link between two nodes, has been measured to determine the impact of social influence on knowledge transfer and information dissemination within a social network. Current research that explores the impact of social influence on information diffusion has been conducted within public social networks …

The Role Of Cognitive Disposition In Re-Examining The Privacy Paradox: A Neuroscience Study, Zareef Mohammed

CCAC Theses and Dissertations

The privacy paradox is a phenomenon whereby individuals continue to disclose their personal information, contrary to their claim of concerns for the privacy of their personal information. This study investigated the privacy paradox to better understand individuals' decisions to disclose or withhold their personal information. The study argued that individuals’ decisions are based on a cognitive disposition, which involves both rational and emotional mental processes. While the extended privacy calculus model was used as the theoretical basis for the study, the findings of cognitive neuroscience was applied to it to address its limitation in assuming individuals are purely rational decision-makers. …