Computer Sciences Commons^™

Conservation Of Limited Resources: Design Principles For Security And Usability On Mobile Devices, Ann-Marie Horcher

CCAC Theses and Dissertations

Mobile devices have evolved from an accessory to the primary computing device for an increasing portion of the general population. Not only is mobile the primary device, consumers on average have multiple Internet-connected devices. The trend towards mobile has resulted in a shift to “mobile-first” strategies for delivering information and services in business organizations, universities, and government agencies. Though principles for good security design exist, those principles were formulated based upon the traditional workstation configuration instead of the mobile platform. Security design needs to follow the shift to a “mobile-first” emphasis to ensure the usability of the security interface. The …

Assessing The Impact Of A Geospatial Information System For Improving Campus Emergency Decision-Making Of Novice Crisis Managers, Adam R. Albina

CCAC Theses and Dissertations

A significant increase in campus-based emergencies warrants the investigation into emergency management information systems that serve a novice crisis decision-maker. Institutions of higher education that are not large enough to have dedicated emergency management offices generally press novice decision-makers into emergency management roles. An investigation was conducted to assess the impact of an emergency management geospatial information system on the decision performance of novice crisis managers through the use of a scenario-based simulation. A mixed method sequential explanatory method was used to collect quasi-experimental data on decision time, decision accuracy and situational awareness. Qualitative analysis was conducted through interviews with …

Beyond Automated Assessment: Building Metacognitive Awareness In Novice Programmers In Cs1, James Prather

CCAC Theses and Dissertations

The primary task of learning to program in introductory computer science courses (CS1) cognitively overloads novices and must be better supported. Several recent studies have attempted to address this problem by understanding the role of metacognitive awareness in novices learning programming. These studies have focused on teaching metacognitive awareness to students by helping them understand the six stages of learning so students can know where they are in the problem-solving process, but these approaches are not scalable. One way to address scalability is to implement features in an automated assessment tool (AAT) that build metacognitive awareness in novice programmers. Currently, …

A Knowledge Management System (Kms) Using A Storytelling-Based Approach To Collect Tacit Knowledge, Nicholas Shaw

CCAC Theses and Dissertations

Since the 1990s, Knowledge Management Systems (KMS) have been largely unsuccessful in the collection of tacit knowledge. The process, whether through direct input by the holder of the tacit knowledge or through an intermediary such as the collection of tacit knowledge through interviews and videos, has not succeeded. Reasons encompass the organizational (such as culture of the organization), the technological (example: poor tools), and the individual (example: knowledge is power, i.e. where experts with rare knowledge results in knowledge hoarding instead of transfer). The purpose of this study was to demonstrate that tacit knowledge could be successfully and consistently collected …

Factors That Contribute To The Resistance To Cloud Computing Adoption By Tech Companies Vs. Non-Tech Companies, Zadok Hakim

CCAC Theses and Dissertations

Cloud computing (CC) may be the most significant development in recent history for businesses seeking to utilize technology. However, the adoption of CC hinges on many factors, and can have a greater positive impact on organizational performance. This study examined the different factors that contribute to the resistance to CC adoption. Anchored in The Theory of Technology-Organization-Environment (TOE), the study used a qualitative, grounded theory approach to develop a theoretical model for the acceptance of CC across firms. CC can have significant effects on efficiency and productivity for firms, but these effects will only be realized if IT usage becomes …

An Investigation Of The Interaction Between Organizational Culture And Knowledge Sharing Through Socialization: A Multi-Level Perspective, Ali Baker

CCAC Theses and Dissertations

Knowledge management (KM) has been determined by many researchers as one of the most important domains within the information systems (IS) field, and knowledge sharing (KS) has been identified as the most vital component of KM. Lack of KS within organizations has been approached from many perspectives. One perspective that has been outlined in recent studies is the organizational culture (OC) perspective, which examines the interaction between OC and KS behaviors. Although research has been conducted on OC and KS, the findings of recent studies have been contradictory. These conflicts were due to the different operationalization of KS. The purpose …

Development, Implementation, And Assessment Of An Online Doctoral Student Orientation, Russell J. Garner

CCAC Theses and Dissertations

An examination of the recent literature revealed there are no established standards for orienting online doctoral students. To address this problem, the relevant literature was examined and suggested that doctoral students can be effectively oriented to their academic environment when provided with the requisite programmatic and institutional information, and factors that support socialization and self-efficacy.

A literature-based orientation was developed to examine its impact on students’ first semester success in terms of rates of retention and grade point averages (GPA). This was accomplished using a developmental study approach that included three primary phases: 1) development of a literature-based orientation; 2) …

Design And Development Of Simulation-Based Instruction On Meaningful Use And Interprofessionalism Core Competencies In A Healthcare Team-Based Learning Environment, Elizabeth Oviawe

CCAC Theses and Dissertations

Policymakers and electronic health records (EHR) experts agree that healthcare professionals lack proficiency in meaningful use of EHRs. This competency gap can result in increased medical errors. It is essential for health professions graduates to acquire skill sets that are adaptable to any electronic health information technologies including the EHRs to facilitate work process and information access. Simulation as an instructional method to create transformative learning experiences has shown promise in the medical profession. In simulations, learners are able to engage in real-life scenarios and practice their cognitive, affective, and psychomotor skills in a safe environment.

The goal was to …

Probabilistic Clustering Ensemble Evaluation For Intrusion Detection, Steven M. Mcelwee

CCAC Theses and Dissertations

Intrusion detection is the practice of examining information from computers and networks to identify cyberattacks. It is an important topic in practice, since the frequency and consequences of cyberattacks continues to increase and affect organizations. It is important for research, since many problems exist for intrusion detection systems. Intrusion detection systems monitor large volumes of data and frequently generate false positives. This results in additional effort for security analysts to review and interpret alerts. After long hours spent reviewing alerts, security analysts become fatigued and make bad decisions. There is currently no approach to intrusion detection that reduces the workload …

Comparing Training Methodologies On Employee’S Cybersecurity Countermeasures Awareness And Skills In Traditional Vs. Socio-Technical Programs, Jodi Goode

CCAC Theses and Dissertations

Organizations, which have established an effective technical layer of security, continue to experience difficulties triggered by cyber threats. Ultimately, the cybersecurity posture of an organization depends on appropriate actions taken by employees whose naive cybersecurity practices have been found to represent 72% to 95% of cybersecurity threats and vulnerabilities to organizations. However, employees cannot be held responsible for cybersecurity practices if they are not provided the education and training to acquire skills, which allow for identification of security threats along with the proper course of action to mitigate such threats. In addition, awareness of the importance of cybersecurity, the responsibility …

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 …

Investigating Intervention Components And Exploring States Of Receptivity For A Smartphone App To Promote Physical Activity: Study Protocol Of The Ally Micro-Randomized Trial, Jan-Niklas Kramer, Florian Künzler, Varun Mishra, Bastien Presset, David Kotz, Shawna Smith, Urte Scholz, Tobias Kowatsch

Dartmouth Scholarship

Background: Smartphones enable the implementation of just-in-time adaptive interventions (JITAIs) that tailor the delivery of health interventions over time to user- and time-varying context characteristics. Ideally, JITAIs include effective intervention components, and delivery tailoring is based on effective moderators of intervention effects. Using machine learning techniques to infer each user’s context from smartphone sensor data is a promising approach to further enhance tailoring.

Objective: The primary objective of this study is to quantify main effects, interactions, and moderators of 3 intervention components of a smartphone-based intervention for physical activity. The secondary objective is the exploration of participants’ states of receptivity, …

A Matched E-H Plane T-Junction For X-Band Applications, Ashmi Chakraborty Das, Santanu Dwari, Amit Bage

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a method of moment-based analysis of an E-H plane T-junction to find its scattering parameters. The results show that the network is not matched at its ports. Therefore, matching networks have been included in the structure to establish matching at the ports. The matching structure includes an inductive window at the H-plane arm and a bisected funnel structure at the junction. Results of the modified structure show simultaneous matching at all the four ports at 9 GHz, which makes it suitable for X-band application.

L-Index Based Contingency Filtering For Voltage Stability Constrained Reactive Power Planning, Farid Karbalaei, Shahriar Abbasi

Turkish Journal of Electrical Engineering and Computer Sciences

One of the most important objectives in reactive power planning (RPP) is maintaining required voltage stability margin under normal and single-contingency situations. For this, an optimization problem must be formulated considering N-1 contingencies constrained for a set of predetermined contingencies. Traditionally, all these contingencies must simultaneously be addressed in the optimization problem. This can dramatically increase the problem dimension and decrease the convergence ability of its solution for large scale applications. This paper uses an L-index based contingency filtering strategy to select a small number of contingencies to be addressed in RPP problem. For this, the predetermined set of all …

Information Hiding Using Convolutional Encoding, Jonathan Blackledge, Paul Tobin, J. Myeza, C. M. Adolfo

Conference papers

We consider two functions f1(r) and f2(r), for r 2 Rn and the problem of ‘Diffusing’ these functions together, followed by the application of an encryption process we call ‘Stochastic Diffusion’ and then hiding the output of this process in to one or other of the same functions. The coupling of these two processes (i.e., data diffusion and stochastic diffusion) is considered using a form of conditioning that generates a wellposed and data consistent inverse solution for the purpose of decrypting the output. After presenting the basic encryption method and (encrypted) information hiding model, coupled with a mathematical analysis (within …

Interoperable Ocean Observing Using Archetypes: A Use-Case Based Evaluation, Paul Stacey, Damon Berry

Conference papers

This paper presents a use-case based evaluation of the impact of two-level modeling on the automatic federation of ocean observational data. The goal of the work is to increase the interoperability and data quality of aggregated ocean observations to support convenient discovery and consumption by applications. An assessment of the interoperability of served data flows from publicly available ocean observing spatial data infrastructures was performed. Barriers to consumption of existing standards-compliant ocean-observing data streams were examined, including the impact of adherence to agreed data standards. Historical data flows were mapped to a set of archetypes and a backward integration experiment …