Computer Sciences Commons^™

Security Vulnerabilities And Cyber Threat Analysis Of The Amqp Protocol For The Internet Of Things, Ian Noel Mcateer, Muhammad Imran Malik, Zubair Baig, Peter Hannay

Australian Information Security Management Conference

The Internet of Things (IoT) expands the global Internet-connected network to encompass device-to-device, device-to-server, and server-to-server connectivity for an ever-increasing variety of end-user devices. IoT remains a somewhat amorphous entity, with little in the way of coordinated development, and is undermined largely by a manufacturer-driven scramble to be first-to-market with the latest innovation. Communication between IoT devices/servers relies on underlying protocols, which must be efficient and effective to establish and maintain reliability and integrity of data transfer. However, the lack of coordination during IoT’s expansion has resulted in a variety of communications protocols being developed. AMQP (Advanced Message Queuing Protocol) …

Infodemiology For Syndromic Surveillance Of Dengue And Typhoid Fever In The Philippines, Ma. Regina Justina E. Estuar, Kennedy E. Espina

Department of Information Systems & Computer Science Faculty Publications

Finding determinants of disease outbreaks before its occurrence is necessary in reducing its impact in populations. The supposed advantage of obtaining information brought by automated systems fall short because of the inability to access real-time data as well as interoperate fragmented systems, leading to longer transfer and processing of data. As such, this study presents the use of realtime latent data from social media, particularly from Twitter, to complement existing disease surveillance efforts. By being able to classify infodemiological (health-related) tweets, this study is able to produce a range of possible disease incidences of Dengue and Typhoid Fever within the …

A Multi-Model Approach In Developing An Intelligent Assistant For Diagnosis Recommendation In Clinical Health Systems, Christian E. Pulmano, Ma. Regina Justina E. Estuar

Department of Information Systems & Computer Science Faculty Publications

Clinical health information systems capture massive amounts of unstructured data from various health and medical facilities. This study utilizes unstructured patient clinical text data to develop an intelligent assistant that can identify possible related diagnoses based on a given text input. The approach applies a one-vs-rest binary classification technique wherein given an input text data, it is identified whether it can be positively or negatively classified for a given diagnosis. Multi-layer Feed-Forward Neural Network models were developed for each individual diagnosis case. The task of the intelligent assistant is to iterate over all the different models and return those that …

Discovering Conversation Spaces In The Public Discourse Of Gender Violence: A Comparative Between Two Different Contexts, Meliza M. De La Paz, Ma. Regina Justina E. Estuar, John Noel C. Victorino

Department of Information Systems & Computer Science Faculty Publications

A huge factor in gender-based violence is perception and stigma, revealed by public discourse. Topic modelling is useful for discourse analysis and reveals prevalent topics and actors. This study aims to find and compare examples of collectivist and individualist conversation spaces of gendered violence by applying Principal Component Analysis, NGram analysis and word association in two gender violence cases which occured in the different contexts of the Philippines and the United States. The data from the Philippines consist of 2010-2011 articles on the 1991 Vizconde Massacre and the data from the United States consist of 2016-2017 articles from the 2015 …

Exploratory Analysis Of Discourses Between Students Engaged In A Debugging Task, Ma. Mercedes T. Rodrigo

Department of Information Systems & Computer Science Faculty Publications

This paper determined if and how high-performing and low-performing students differed in the language that they used as they collaborated on a debugging task. 180 students worked in pairs to debug 12 small programs with known errors. Students were segregated into high and low achievement levels based on the number of bugs they found. Chat transcripts from the pairs were analyzed using the Linguistic Inquiry and Word Count (LIWC) software. We found that high- and low-performing students only varied in terms of their use of words that implied discrepancy and sadness.

Designing An Intervention For Novice Programmers Based On Meaningful Gamification: An Expert Evaluation, Jenilyn L. Agapito, Ma. Mercedes T. Rodrigo

Department of Information Systems & Computer Science Faculty Publications

Gamification is defined as the addition of game-like elements and mechanics to non-game contexts to encourage certain desired behaviors. It is becoming a popular classroom intervention used in computer science instruction, including CS1, the first course computer science students take. It is being operationalized to enhance students' learning experience and achievement. However, existing studies have mostly implemented reward-based game elements which have resulted to contrasting behaviors among the students. Meaningful gamification, characterized as the use of game design elements to encourage users build internal motivation to behave in a certain way, is contended to be a more effective approach. The …

Antecedents Of Employees' Behavioral Intentions Regarding Information Technology Consumerization, Alain Ouattara

Walden Dissertations and Doctoral Studies

The majority of organizations worldwide have adopted IT consumerization. However, only a small percentage of them explicitly manage the dual use of personal devices and applications for work purposes. This correlational study used the extended unified technology acceptance and use technology model (UTAUT2) to examine whether employees' perceptions of habit, effort expectancy, performance expectancy, facilitating conditions, hedonic motivation, social influence, and price value can predict IT consumerization behavioral intentions (BI). A pre-existing UTAUT2 survey instrument was used to collect data from employees (N = 112) of small- and medium-sized organizations across different industries in Ontario, Canada. The regression analysis confirmed …

Improving Bespoke Software Quality: Strategies For Application And Enterprise Architects, Daniel Scott Wagner

Walden Dissertations and Doctoral Studies

Despite over 50 years of software engineering as a formal practice, contemporary developers of bespoke software follow development practices that result in low-quality products with high development and maintenance costs. This qualitative case study sought to identify strategies used by software and enterprise architects for applying architectural best practices to improve bespoke software quality and lower the total cost of ownership. The study population was application and enterprise architects associated with delivering bespoke software for the enterprise architecture team at a large enterprise in the Nashville, Tennessee metropolitan area. Interview data were collected from 7 enterprise or solution architects; in …

Improving Workflow At The Point Of Care Using The Electronic Health Record, Rox Ann Sparks

Walden Dissertations and Doctoral Studies

The electronic health record (EHR) is an important part of the effort to improve health care and reduce costs in the United States. Primary care providers, among the largest group of caregivers in the nation, often experience difficulty with implementation and utilization of EHRs. Efforts to enhance the provider's effectiveness in the use of the EHR should result in improved patient outcomes as well as decreasing the overall cost of health care. Guided by the diffusion of innovation theory, this project was initiated to develop a plan for improved usage of the EHR in a primary care setting. A survey …

Gene Expression Prospective Simulation And Analysis Unsing Data Mining And Immersive Virtual Reality Visualization, Joshua Cotes

EWU Masters Thesis Collection

Biological exploration on genetic expression and protein synthesis in living organisms is used to discover causal and interactive relationships in biological processes. Current GeneChip microarray technology provides a platform to an- alyze up to 500,000 molecular reactions on a single chip, providing thousands of genetic and protein expression results per test. Using visualization tools and priori knowledge of genetic and protein interactions, visual networks are used to model and analyze the results. The virtual reality environment designed and implemented for this project provides visualization and data modeling tools commonly used in genetic ex- pression data analysis. The software processes normalized …

Assessing The Influence Of Smart Mobile Devices On How Employees Work, Adam L. Gorski

Walden Dissertations and Doctoral Studies

The smart mobile device market penetration reached 50% and has been increasing an average of 39% per year in the United States. More than 70% of the smart mobile device owners use such devices for personal and work activities. The problem was the lack of management's understanding of the effect smart mobile device use has on how employees work when they are in the office, while traveling, or during the off-hours to improve productivity and customer service. The purpose of this phenomenological study was to understand why, when, and how employees used smart mobile devices. The transformational technology conceptual framework …

Effective Competitive Strategies Of U.S. In Vitro Device Manufacturers, Sofia M. Beglari

Walden Dissertations and Doctoral Studies

Medical manufacturing leaders struggle to maintain their competitive position due to inefficient business strategies. The purpose of this multiple case study was to explore strategies that in vitro diagnostics (IVD) medical manufacturing's leaders have used to gain and maintain a competitive advantage in the global marketplace. Porter's competitive advantage theory was used to understand how IVD medical business leaders maintain their competitive edge. Data were gathered through interviews with a purposive sample of 3 IVD medical device leaders from companies in California, Connecticut, and New York who had run IVD medical businesses for at least 10 years and who attended …

Social Media Strategies For Increasing Sales, Loretta N. Ezeife

Walden Dissertations and Doctoral Studies

Social media have transformed business commerce and consumer communication, yet organizational leaders lack clear strategies for using social media platforms to their advantage. The purpose of this qualitative multicase study was to explore social media marketing strategies for increasing sales. The relationship marketing conceptual framework grounded this study. Data collection included semistructured interviews with 5 organizational leaders from 5 different organizations in the San Francisco, California, Bay Area and a review of participants’ documents including marketing materials, social media posts, and published sales reports. Data analysis included coding, categorization, and identification of major themes. The thematic assessment approach revealed 5 …

The Relationship Between Nonprofit Organizations And Cloud Adoption Concerns, Dana Haywood

Walden Dissertations and Doctoral Studies

Many leaders of nonprofit organizations (NPOs) in the United States do not have plans to adopt cloud computing. However, the factors accounting for their decisions is not known. This correlational study used the extended unified theory of acceptance and use of technology (UTAUT2) to examine whether performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit can predict behavioral intention (BI) and use behavior (UB) of NPO information technology (IT) managers towards adopting cloud computing within the Phoenix metropolitan area of Arizona of the U.S. An existing UTAUT2 survey instrument was used with a sample of …

Health Portal Functionality And The Use Of Patient-Centered Technology, Anita Joyce Simmons

Walden Dissertations and Doctoral Studies

Health portals are dedicated web pages for medical practices to provide patients access to their electronic health records. The problem identified in this quality improvement project was that the health portal in the urgent care setting had not been available to staff nor patients. To provide leadership with information related to opening the portal, the first purpose of the project was to assess staff and patients' perceived use, ease of use, attitude toward using, and intention to use the portal. The second purpose was to evaluate the portal education materials for the top 5 urgent care diagnoses: diabetes, hypertension, asthma, …

On Comparative Algorithmic Pathfinding In Complex Networks For Resource-Constrained Software Agents, Michael Moran

Walden Dissertations and Doctoral Studies

Software engineering projects that utilize inappropriate pathfinding algorithms carry a

significant risk of poor runtime performance for customers. Using social network theory,

this experimental study examined the impact of algorithms, frameworks, and map

complexity on elapsed time and computer memory consumption. The 1,800 2D map

samples utilized were computer random generated and data were collected and processed

using Python language scripts. Memory consumption and elapsed time results for each of

the 12 experimental treatment groups were compared using factorial MANOVA to

determine the impact of the 3 independent variables on elapsed time and computer

memory consumption. The MANOVA indicated a …

Nursing Informatics Competency Program, Kristina Ann Dunn

Walden Dissertations and Doctoral Studies

Currently, C Hospital lacks a standardized nursing informatics competency program to validate nurses' skills and knowledge in using electronic medical records (EMRs). At the study locale, the organization is about to embark on the implementation of a new, more comprehensive EMR system. All departments will be required to use the new EMR, unlike the current policy that allows some areas to still document on paper. The Institute of Medicine, National League of Nursing, and American Association of Colleges of Nursing support and recommend that information technology be an essential core competency for nurses. Evidence of the need for nursing informatic …

A Complex Systems Simulation Study For Increasing Adaptive-Capacity, Kadambari Ram

Walden Dissertations and Doctoral Studies

Examination of empirical research confirmed that climate change is a complex problem of anthropological origin and revealed the need for a management framework to facilitate strategic decisions aimed at mitigating a rise in global temperatures of 2-°C linked to irresponsible and unsustainable business practices. The purpose of this simulation study was to develop a management framework of resilience, robustness, sustainability, and adaptive-capacity (RRSA) for organizations viewed as complex systems to address the current unsustainable state. As such, the evolutionary-RRSA prisoner's dilemma (PD) simulation was developed using an evolutionary game theory approach to agent based modeling and simulation, to generate data. …

Using An Online Learning Tutorial To Teach Rea Data Modelling In Accounting Information Systems Courses, Poh Sun Seow, Gary Pan

Research Collection School Of Accountancy

Online learning has been gaining widespread adoption due to its success in enhancing student-learning outcomes and improving student academic performance. This paper describes an online tutorial to teach resource-event-agent (REA) data modeling in an undergraduate accounting information systems course. The REA online tutorial reflects a self-study application designed to help students improve their understanding of the REA data model. As such, the tutorial acts as a supplement to lectures by reinforcing the concepts and incorporating practices to assess student understanding. Instructors can access the REA online tutorial at http://smu.sg/rea. An independent survey by the University's Centre for Teaching Excellence found …

Efficient Reasoning Algorithms For Fragments Of Horn Description Logics, David Carral

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We characterize two fragments of Horn Description Logics and we define two specialized reasoning algorithms that effectively solve the standard reasoning tasks over each of such fragments. We believe our work to be of general interest since (1) a rather large proportion of real-world Horn ontologies belong to some of these two fragments and (2) the implementations based on our reasoning approach significantly outperform state-of-the-art reasoners. Claims (1) and (2) are extensively proven via empirically evaluation.

Multi-Class Classification Of Textual Data: Detection And Mitigation Of Cheating In Massively Multiplayer Online Role Playing Games, Naga Sai Nikhil Maguluri

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The success of any multiplayer game depends on the player’s experience. Cheating/Hacking undermines the player’s experience and thus the success of that game. Cheaters, who use hacks, bots or trainers are ruining the gaming experience of a player and are making him leave the game. As the video game industry is a constantly increasing multibillion dollar economy, it is crucial to assure and maintain a state of security. Players reflect their gaming experience in one of the following places: multiplayer chat, game reviews, and social media. This thesis is an exploratory study where our goal is to experiment and propose …

Sched-Its: An Interactive Tutoring System To Teach Cpu Scheduling Concepts In An Operating Systems Course, Bharath Kumar Koya

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Operating systems is an essential course in computer science curriculum, which helps students to develop a mental model of how computer operating systems work. The internal mechanisms and processes of an operating system (OS) are often complex, non-deterministic and intangible which makes them difficult for students to understand. One such concept is central processing unit (CPU) scheduling. CPU scheduling forms the basis of the multiprogramming in an OS. In practice, OS courses involve classroom lectures describing high-level abstractions of the concepts, and students complete programming assignments to apply the material in a more concrete way. Depending on the programming assignments, …

An Optimization Compiler Framework Based On Polyhedron Model For Gpgpus, Lifeng Liu

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General purpose GPU (GPGPU) is an effective many-core architecture that can yield high throughput for many scientific applications with thread-level parallelism. However, several challenges still limit further performance improvements and make GPU programming challenging for programmers who lack the knowledge of GPU hardware architecture. In this dissertation, we describe an Optimization Compiler Framework Based on Polyhedron Model for GPGPUs to bridge the speed gap between the GPU cores and the off-chip memory and improve the overall performance of the GPU systems. The optimization compiler framework includes a detailed data reuse analyzer based on the extended polyhedron model for GPU kernels, …

Oclep+: One-Class Intrusion Detection Using Length Of Patterns, Sai Kiran Pentukar

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In an earlier paper, a method called One-class Classification using Length statistics of (jumping) Emerging Patterns (OCLEP) was introduced for masquerader detection. Jumping emerging patterns (JEPs) for a test instance are minimal patterns that match the test instance but they do not match any normal instances. OCLEP was based on the observation that one needs long JEPs to differentiate an instance of one class from instances of the same class, but needs short JEPs to differentiate an instance of one class from instances of a different class. In this thesis, we present OCLEP+, One-class Classification using Length statistics of Emerging …

Conditional Correlation Analysis, Sanjeev Bhatta

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Correlation analysis is a frequently used statistical measure to examine the relationship among variables in different practical applications. However, the traditional correlation analysis uses an overly simplistic method to do so. It measures how two variables are related in an application by examining only their relationship in the entire underlying data space. As a result, traditional correlation analysis may miss a strong correlation between those variables especially when that relationship exists in the small subpopulation of the larger data space. This is no longer acceptable and may lose a fair share of information in this era of Big Data which …

Rendering Owl In Latex For Improved Readability: Extensions To The Owlapi, Cogan M. Shimizu

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As ontology engineering is inherently a multidisciplinary process, it is necessary to utilize multiple vehicles to present an ontology to a user. In order to examine the content of an ontology, formal logic renderings of the axioms appear to be a very helpful approach for some. This thesis introduces a number of incremental improvements to the OWLAPI's \LaTeX{} rendering framework in order to improve the readability, concision, and correctness of OWL files translated into Description Logic and First Order Logic. In addition, we examine the efficacy of these renderings as vehicles for understanding an ontology.

Deep Learning Approach For Intrusion Detection System (Ids) In The Internet Of Things (Iot) Network Using Gated Recurrent Neural Networks (Gru), Manoj Kumar Putchala

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The Internet of Things (IoT) is a complex paradigm where billions of devices are connected to a network. These connected devices form an intelligent system of systems that share the data without human-to-computer or human-to-human interaction. These systems extract meaningful data that can transform human lives, businesses, and the world in significant ways. However, the reality of IoT is prone to countless cyber-attacks in the extremely hostile environment like the internet. The recent hack of 2014 Jeep Cherokee, iStan pacemaker, and a German steel plant are a few notable security breaches. To secure an IoT system, the traditional high-end security …

Portable Motion Lab For Diagnostic And Rehabilitation Processes, Yogesh Laxman Chavan

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In this thesis research, we have explored the capabilities of a household body-tracking device - Microsoft Xbox Kinect for motion analysis and assessment to assist patient’s rehabilitation after joint replacement and repair surgeries. In particular, we have combined the motion tracking capabilities of Kinect with the 3D modelling of human body for accurate and intuitive movement assessment and feedback. Our prototype system demonstrates the effective and efficient workflow of motion capturing, data processing and analyzing and augmented reality based presentation, resulting in a design which is not only accurate, reliable and robust, but also extremely cost- and space-efficient. Furthermore, we …

Detecting Information Leakage In Android Malware Using Static Taint Analysis, Soham P. Kelkar

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According to Google, Android now runs on 1.4 billion devices. The growing popularity has attracted attackers to use Android as a platform to conduct malicious activities. To achieve these malicious activities some attacker choose to develop malicious Apps to steal information from the Android users. As the modern day smartphones process, a lot of sensitive information, information security, and privacy becoming a potential target for the attacker. The malicious Apps steal information from the infected phone and send this information to the attacker-controlled URLs using various Android sink functions. Therefore, it necessary to protect data as it can prove detrimental …

Harassment Detection On Twitter Using Conversations, Venkatesh Edupuganti

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Social media has brought people closer than ever before, but the use of social media has also brought with it a risk of online harassment. Such harassment can have a serious impact on a person such as causing low self-esteem and depression. The past research on detecting harassment on social media is primarily based on the content of messages exchanged on social media. The lack of context when relying on a single social media post can result in a high degree of false alarms. In this study, I focus on the reliable detection of harassment on Twitter by better understanding …