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Articles 24631 - 24660 of 63886

Full-Text Articles in Computer Sciences

Exploring Strategies For Enforcing Cybersecurity Policies, Bayo Olushola Omoyiola Jan 2020

Exploring Strategies For Enforcing Cybersecurity Policies, Bayo Olushola Omoyiola

Walden Dissertations and Doctoral Studies

Some cybersecurity leaders have not enforced cybersecurity policies in their organizations. The lack of employee cybersecurity policy compliance is a significant threat in organizations because it leads to security risks and breaches. Grounded in the theory of planned behavior, the purpose of this qualitative case study was to explore the strategies cybersecurity leaders utilize to enforce cybersecurity policies. The participants were cybersecurity leaders from 3 large organizations in southwest and northcentral Nigeria responsible for enforcing cybersecurity policies. The data collection included semi-structured interviews of participating cybersecurity leaders (n = 12) and analysis of cybersecurity policy documents (n = 20). Thematic …

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Exploring Strategies For Capturing Requirements For Developing Ict4d Applications, Jonathan Makanjera Jan 2020

Exploring Strategies For Capturing Requirements For Developing Ict4d Applications, Jonathan Makanjera

Walden Dissertations and Doctoral Studies

Some software engineers make decisions using applications designed from poorly captured user requirements. The quality of user requirements is crucial in the requirements engineering process, costing 50 times more to remedy the defects of using poorly captured user requirements. Grounded in the socialization, externalization, combination and internalization model of Nonaka theoretical framework, the purpose of this qualitative multiple case study was to explore strategies software engineers in Southern African software houses and IT departments use for capturing information and communication technology for development (ICT4D) requirements. The participants consisted of software 12 engineers who were working in Southern Africa, capturing ICT4D …

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Strategies For Information Technology Employee Retention, Stephen Horton Jan 2020

Strategies For Information Technology Employee Retention, Stephen Horton

Walden Dissertations and Doctoral Studies

Information technology (IT) employee retention is essential to IT departments tasked with supporting the goals and objectives of the organization. IT employees manage, support, and direct IT to drive business, pursue innovation, and create a competitive edge. The purpose of this qualitative exploratory multiple case study was to identify strategies that IT managers use to retain IT employees in order to support the goals and objectives of the IT organization. The population for this study consisted of 5 IT managers in the transportation industry. The IT managers selected for this study had subordinates and delegation duties and worked for employers …

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Denial Of Service Attacks: Difference In Rates, Duration, And Financial Damages And The Relationship Between Company Assets And Revenues, Abebe Gebreyes Jan 2020

Denial Of Service Attacks: Difference In Rates, Duration, And Financial Damages And The Relationship Between Company Assets And Revenues, Abebe Gebreyes

Walden Dissertations and Doctoral Studies

AbstractDenial-of-service/distributed denial-of-service (DoS) attacks on network connectivity are a threat to businesses that academics and professionals have attempted to address through cyber-security practices. However, currently there are no metrics to determine how attackers target certain businesses. The purpose of this quantitative study was to address this problem by, first, determining differences among business sectors in rates and duration of attacks and financial damages from attacks and, second, examining relationship among assets and/or revenues and duration of attacks and financial damages. Cohen and Felson's routine activity theory and Cornish and Clarke's rational choice theory served as frameworks as they address the …

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Leadership Styles And Emotional Intelligence Of Federal Employees In Diversified Work Environments, Richard Lopez Jan 2020

Leadership Styles And Emotional Intelligence Of Federal Employees In Diversified Work Environments, Richard Lopez

Walden Dissertations and Doctoral Studies

On the Office of Personnel Management Federal Viewpoint Surveys, followers rated their leaders as ineffective. The public expects federal government leaders to effectively lead their followers in order to efficiently manage public services. The purpose of this correlational nonexperimental study was to determine whether there is a correlation between emotional intelligence (EQ) and a full range of leadership styles, as measured by the multileadership questionnaire (MLQ), from the perspective of the follower. Grounded in the theory of EQ, the extant scholarly literature revealed EQ skills complements leadership styles and predict leader success in a variety of business sectors, cultures, and …

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Small-To-Medium-Size Enterprise Managers’ Experiences With Cloud Computing, Anthony Effiong Jan 2020

Small-To-Medium-Size Enterprise Managers’ Experiences With Cloud Computing, Anthony Effiong

Walden Dissertations and Doctoral Studies

Historically, managers of small- and medium-sized enterprises (SMEs) have had concerns regarding cloud computing and cybersecurity. Their resistance to using cloud computing has influenced their ability to do business effectively and to compete with businesses that use cloud computing. The purposes of this descriptive phenomenological study were to explore the lived experiences and perceptions of SME managers that might influence their decisions to adopt cloud computing. Watson’s concept of resistance to change and Davis, Bagozzi, and Warhaw’s technology acceptance model were the conceptual frameworks that guided this qualitative study. Data collection consisted of conducting 16 semi-structured interviews with open-ended questions …

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Strategies For Implementing Successful It Security Systems In Small Businesses, Martins Donbruce Idahosa Jan 2020

Strategies For Implementing Successful It Security Systems In Small Businesses, Martins Donbruce Idahosa

Walden Dissertations and Doctoral Studies

Owners of small businesses who do not adequately protect business data are at high risk for a cyber attack. As data breaches against small businesses have increased, it has become a growing source of concern for consumers who rely on owners of small businesses to protect their data from data breaches. Grounded in general systems theory and routine activity approach, the focus of this qualitative multiple case study was to explore strategies used by owners of small businesses to protect confidential company data from cyber attacks. The process used for collecting data involved semistructured face-to-face interviews with 5 owners of …

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Security Strategies To Prevent Data Breaches In Infrastructure As A Service Cloud Computing, Alberta Amanda Pratt-Sensie Jan 2020

Security Strategies To Prevent Data Breaches In Infrastructure As A Service Cloud Computing, Alberta Amanda Pratt-Sensie

Walden Dissertations and Doctoral Studies

Due to the ever-growing threat of security breaches that information technology (IT) organizations continually face, protecting customer information stored within the cloud is critical to ensuring data integrity. Research shows that new categories of data breaches constantly emerge; thus, security strategies that build trust in consumers and improve system performance are a must. The purpose of this qualitative multiple case study was to explore and analyze the strategies used by database administrators (DBAs) to secure data in a private infrastructure as a service (IaaS) cloud computing. The participants comprised of 6 DBAs from 2 IT companies in Baltimore, Maryland, with …

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Hacking For Intelligence Collection In The Fight Against Terrorism: Israeli, Comparative, And International Perspectives, Asaf Lubin Jan 2020

Hacking For Intelligence Collection In The Fight Against Terrorism: Israeli, Comparative, And International Perspectives, Asaf Lubin

Articles by Maurer Faculty

תקציר בעברית: הניסיון של המחוקק הישראלי להביא להסדרה מפורשת של סמכויות השב״כ במרחב הקיברנטי משקף מגמה רחבה יותר הניכרת בעולם לעיגון בחקיקה ראשית של הוראות בדבר פעולות פצחנות מצד גופי ביון ומודיעין ורשויות אכיפת חוק למטרות איסוף מודיעין לשם סיכול עבירות חמורות, ובייחוד עבירות טרור אם בעבר היו פעולות מסוג אלה כפופות לנהלים פנימיים ומסווגים, הרי שהדרישה לשקיפות בעידן שלאחר גילויי אדוארד סנודן מחד והשימוש הנרחב בתקיפות מחשב לביצוע פעולות חיפוש וחקירה לסיכול טרור מאידך, מציפים כעת את הדרישה להסמכה מפורשת. במאמר זה אבקש למפות הן את השדה הטכנולוגי והן את השדה המשפטי בכל האמור בתקיפות מחשבים למטרות ריגול ומעקב. …

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Iot Devices In The Public Health Sector, Cayla Young Jan 2020

Iot Devices In The Public Health Sector, Cayla Young

Cybersecurity Undergraduate Research Showcase

In this research, proper attention is drawn to privacy and security concerns with the integration of Internet of Things (IoT) devices in the public health sector. Often, not much attention is given to IoT devices and its vulnerabilities concerning the medical industry. Effects of COVID-19 contact tracing applications are explored through research of various source types. Mitigation techniques for these privacy and security issues is given. Focus is brought to topics outlining the risks associated with genetic testing companies and the vulnerabilities of data collection and data storage. Recommendations are provided to help consumers avoid these risks. Lastly, a comprehensive …

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Score Following With Hidden Tempo Using A Switching State-Space Model, Yucong Jiang, Chris Raphael Jan 2020

Score Following With Hidden Tempo Using A Switching State-Space Model, Yucong Jiang, Chris Raphael

Department of Math & Statistics Faculty Publications

A score-following program traces the notes in a musical score during a performance. This capability is essential to many meaningful applications that synchronize audio with a score in an on-line fashion. Existing algorithms often stumble on certain difficult cases, one of which is piano music. This paper presents a new method to tackle such cases. The method treats tempo as a variable rather than a constant (with constraints), allowing the program to adapt to live performance variations. This is first expressed by a Kalman filter model at the note level, and then by an almost equivalent switching state-space model at …

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Fault Detection And Classification Of A Single Phase Inverter Using Artificial Neural Networks, Ayomikun Samuel Orukotan Jan 2020

Fault Detection And Classification Of A Single Phase Inverter Using Artificial Neural Networks, Ayomikun Samuel Orukotan

All Graduate Theses, Dissertations, and Other Capstone Projects

The detection of switching faults of power converters or the Circuit Under Test (CUT) is real-time important for safe and efficient usage. The CUT is a single-phase inverter. This thesis presents two unique methods that rely on backpropagation principles to solve classification problems with a two-layer network. These mathematical algorithms or proposed networks are able to diagnose single, double, triple, and multiple switching faults over different iterations representing range of frequencies. First, the fault detection and classification problems are formulated as neural network-based classification problems and the neural network design process is clearly described. Then, neural networks are trained over …

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Performing The Digital Self: Understanding Location-Based Social Networking, Territory, Space, And Identity In The City, Konstantinos Papangelis, Alan Chamberlain, Ioanna Lykourentzou, Vassilis-Javed Khan, Michael Saker, Hai-Ning Liang, Irwyn Sadien, Ting Cao Jan 2020

Performing The Digital Self: Understanding Location-Based Social Networking, Territory, Space, And Identity In The City, Konstantinos Papangelis, Alan Chamberlain, Ioanna Lykourentzou, Vassilis-Javed Khan, Michael Saker, Hai-Ning Liang, Irwyn Sadien, Ting Cao

Articles

Expressions of territoriality have been positioned as one of the main reasons users alter their behaviors and perceptions of spatiality and sociality while engaging with location-based social networks (LBSN). Despite the potential for this interplay to further our understanding of LBSN usage in the context of identity, very little work has actually been done towards this. Addressing this gap in the literature is one the chief aims of the article. Drawing on an original six-week study with 42 participants utilizing a bespoke LBSN entitled ‘GeoMoments’, our research explores: (1) the way that territoriality is linked to self-identity; and (2) how …

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Security Camera Using Raspberry Pi, Tejendra Khatri Jan 2020

Security Camera Using Raspberry Pi, Tejendra Khatri

Student Academic Conference

Making a security camera using raspberry pi utilizing OpenCV for facial recognition, upper body recognition or full-body recognition

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Improving Pain Management In Patients With Sickle Cell Disease Using Machine Learning Techniques, Fan Yang Jan 2020

Improving Pain Management In Patients With Sickle Cell Disease Using Machine Learning Techniques, Fan Yang

Browse all Theses and Dissertations

Sickle cell disease (SCD) is an inherited red blood cell disorder that can cause a multitude of complications throughout a patient's life. Pain is the most common complication and a significant cause of morbidity. Since pain is a highly subjective experience, both medical providers and patients express difficulty in determining ideal treatment and management strategies for pain. Therefore, the development of objective pain assessment and pain forecasting methods is critical to pain management in SCD. On the other hand, the rapidly increasing use of mobile health (mHealth) technology and wearable devices gives the ability to build a remote health intervention …

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Enabling Static Program Analysis Using A Graph Database, Jialun Liu Jan 2020

Enabling Static Program Analysis Using A Graph Database, Jialun Liu

Browse all Theses and Dissertations

This thesis presents the design, the implementation, and the evaluation of a database-oriented static program analysis engine for the PHP programming language. This engine analyzes PHP programs by representing their semantics using a graph-based data structure, which will be subsequently stored into a graph database. Such scheme will fundamentally facilitate various program analysis tasks such as static taint analysis, visualization, and data mining. Specifically, these complex program analysis tasks can now be translated into built-in declarative graph database operations with rich features. Our engine fundamentally differs from other existing static program analysis systems that mainly leverage intermediate representation (IRs) to …

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Detection Of Weak Ties, Jerry Scripps Jan 2020

Detection Of Weak Ties, Jerry Scripps

Technical Reports

In a small world social network, strong and weak ties exist that define tightly clustered areas and isolated links between them. Granovetter provided an heuristic that strong links have a higher common neighbor count than weak ones. The problem of identifying weak links is the central focus of this paper. The proposed metric vett will be shown that within certain constraints of a (modified) small world network the accuracy of the proposed method is 100%.

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Comparison Of The Tally Numbering System To Traditional Arithmetic Systems In Field Programmable Gate Arrays, Robert Paul Shredow Jan 2020

Comparison Of The Tally Numbering System To Traditional Arithmetic Systems In Field Programmable Gate Arrays, Robert Paul Shredow

EWU Masters Thesis Collection

This research explores the use of heterogeneous computing platforms for use in machine learning as well as different neural network architectures. These platforms and architectures can be used to accelerate the complex operations that are required for machine learning, more specifically neural networks. The use of different architectures, implementing different types of numbering and mathematics systems is explored in hopes of accelerating mathematical functions. The heterogeneous computing platform explored in this thesis is a Field Programmable Gate Arrays (FPGA), specifically a SoC/FPGA which is a ARM CPU and a FPGA in the same chip. FPGAs are unique because they are …

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Facilitating Cross-Chain Cryptocurrency Exchanges: An Inquiry Into Blockchain Technology And Interoperability With An Emphasis On Cryptocurrency Arbitrage, Samuel Grone Jan 2020

Facilitating Cross-Chain Cryptocurrency Exchanges: An Inquiry Into Blockchain Technology And Interoperability With An Emphasis On Cryptocurrency Arbitrage, Samuel Grone

Senior Honors Theses and Projects

Since the introduction and proliferation of the blockchain-based cryptocurrency Bitcoin, alternative cryptocurrencies also based on blockchain technology have exploded in number. It was once believed that one, or very few, cryptocurrencies would eventually dominate the market and drive out competitors. This assumption, however, was incorrect. Thousands of cryptocurrencies exist concurrently. The vast number of cryptocurrencies leads to a problem—what if the cryptocurrency that an individual possesses does not meet their current needs as well as another cryptocurrency might? The attempt to solve this problem has led to the rise of many cryptocurrency exchanges and exchange schemes. In this paper, we …

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On Predicting Stopping Time Of Human Sequential Decision-Making Using Discounted Satisficing Heuristic, Mounica Devaguptapu Jan 2020

On Predicting Stopping Time Of Human Sequential Decision-Making Using Discounted Satisficing Heuristic, Mounica Devaguptapu

Masters Theses

“Human sequential decision-making involves two essential questions: (i) "what to choose next?", and (ii) "when to stop?". Assuming that the human agents choose an alternative according to their preference order, our goal is to model and learn how human agents choose their stopping time while making sequential decisions. In contrary to traditional assumptions in the literature regarding how humans exhibit satisficing behavior on instantaneous utilities, we assume that humans employ a discounted satisficing heuristic to compute their stopping time, i.e., the human agent stops working if the total accumulated utility goes beyond a dynamic threshold that gets discounted with time. …

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Health-Aware Food Planner: A Personalized Recipe Generation Approach Based On Gpt-2, Bushra Aljbawi Jan 2020

Health-Aware Food Planner: A Personalized Recipe Generation Approach Based On Gpt-2, Bushra Aljbawi

Theses and Dissertations (Comprehensive)

"What to eat today?" With the flourish of Internet, more and more people nowadays are inclined to find an answer to this most problematic question online. The recent explosion of food networks; however, produces large volumes of recipes, making it even harder to make an informed decision. This yields the need for advanced decision-making algorithms and efficient recommendation systems. Conventional recommender systems are not feasible anymore as food is a complicated feature that presents unique challenges and is less studied. For example, it can be one of the main reasons for obesity and many other chronic diseases. Food recommender system …

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Ecu-Ioht, Mohiuddin Ahmed, Surender Byreddy, Anush Nutakki, Leslie F. Sikos, Paul Haskell-Dowland Jan 2020

Ecu-Ioht, Mohiuddin Ahmed, Surender Byreddy, Anush Nutakki, Leslie F. Sikos, Paul Haskell-Dowland

Research Datasets

In recent times, cyberattacks on Internet of Health Things (IoHT) have continuously been growing, and so it is important to develop robust countermeasures. However, there is a lack of publicly available datasets reflecting cyberattacks on IoHT, mainly due to privacy concerns. To strengthen the cyber security of IoHT, we have developed the dataset, named ECU-IoHT, that is built upon an IoHT environment having different attacks performed that exploit various vulnerabilities. This dataset was designed to help the healthcare security community in analyzing attack behaviour and developing robust countermeasures. To the best of our knowledge, no other publicly available datasets have …

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Law, Artificial Intelligence, And Natural Language Processing: A Funny Thing Happened On The Way To My Search Results, Paul D. Callister Jan 2020

Law, Artificial Intelligence, And Natural Language Processing: A Funny Thing Happened On The Way To My Search Results, Paul D. Callister

Faculty Works

Renowned legal educator Roscoe Pound stated, “Law must be stable and yet it cannot stand still.” Yet, as Susan Nevelow Mart has demonstrated in a seminal article that the different online research services (Westlaw, Lexis Advance, Fastcase, Google Scholar, Ravel and Casetext) produce significantly different results when researching case law. Furthermore, a recent study of 325 federal courts of appeals decisions, revealed that only 16% of the cases cited in appellate briefs make it into the courts’ opinions. This does not exactly inspire confidence in legal research or its tools to maintain stability of the law. As Robert Berring foresaw, …

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A Comparative Analysis Of Reinforcement Learning Applied To Task-Space Reaching With A Robotic Manipulator With And Without Gravity Compensation, Jonathan Fugal Jan 2020

A Comparative Analysis Of Reinforcement Learning Applied To Task-Space Reaching With A Robotic Manipulator With And Without Gravity Compensation, Jonathan Fugal

Theses and Dissertations--Electrical and Computer Engineering

Advances in computing power in recent years have facilitated developments in autonomous robotic systems. These robotic systems can be used in prosthetic limbs, wearhouse packaging and sorting, assembly line production, as well as many other applications. Designing these autonomous systems typically requires robotic system and world models (for classical control based strategies) or time consuming and computationally expensive training (for learning based strategies). Often these requirements are difficult to fulfill. There are ways to combine classical control and learning based strategies that can mitigate both requirements. One of these ways is to use a gravity compensated torque control with reinforcement …

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Topological Analysis Of Averaged Sentence Embeddings, Wesley J. Holmes Jan 2020

Topological Analysis Of Averaged Sentence Embeddings, Wesley J. Holmes

Browse all Theses and Dissertations

Sentence embeddings are frequently generated by using complex, pretrained models that were trained on a very general corpus of data. This thesis explores a potential alternative method for generating high-quality sentence embeddings for highly specialized corpora in an efficient manner. A framework for visualizing and analyzing sentence embeddings is developed to help assess the quality of sentence embeddings for a highly specialized corpus of documents related to the 2019 coronavirus epidemic. A Topological Data Analysis (TDA) technique is explored as an alternative method for grouping embeddings for document clustering and topic modeling tasks and is compared to a simple clustering …

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Design Of A Novel Wearable Ultrasound Vest For Autonomous Monitoring Of The Heart Using Machine Learning, Garrett G. Goodman Jan 2020

Design Of A Novel Wearable Ultrasound Vest For Autonomous Monitoring Of The Heart Using Machine Learning, Garrett G. Goodman

Browse all Theses and Dissertations

As the population of older individuals increases worldwide, the number of people with cardiovascular issues and diseases is also increasing. The rate at which individuals in the United States of America and worldwide that succumb to Cardiovascular Disease (CVD) is rising as well. Approximately 2,303 Americans die to some form of CVD per day according to the American Heart Association. Furthermore, the Center for Disease Control and Prevention states that 647,000 Americans die yearly due to some form of CVD, which equates to one person every 37 seconds. Finally, the World Health Organization reports that the number one cause of …

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Certified Functions For Mesh Generation, Andrey N. Chernikov Jan 2020

Certified Functions For Mesh Generation, Andrey N. Chernikov

Chemistry & Biochemistry Faculty Publications

Formal methods allow for building correct-by-construction software with provable guarantees. The formal development presented here resulted in certified executable functions for mesh generation. The term certified means that their correctness is established via an artifact, or certificate, which is a statement of these functions in a formal language along with the proofs of their correctness. The term is meaningful only when qualified by a specific set of properties that are proven. This manuscript elaborates on the precise statements of the properties being proven and their role in an implementation of a version of the Isosurface Stuffing algorithm by Labelle and …

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A Tutorial And Future Research For Building A Blockchain-Based Secure Communication Scheme For Internet Of Intelligent Things, Mohammad Wazid, Ashok Kumar Das, Sachin Shetty, Minho Jo Jan 2020

A Tutorial And Future Research For Building A Blockchain-Based Secure Communication Scheme For Internet Of Intelligent Things, Mohammad Wazid, Ashok Kumar Das, Sachin Shetty, Minho Jo

Computational Modeling & Simulation Engineering Faculty Publications

The Internet of Intelligent Things (IoIT) communication environment can be utilized in various types of applications (for example, intelligent battlefields, smart healthcare systems, the industrial internet, home automation, and many more). Communications that happen in such environments can have different types of security and privacy issues, which can be resolved through the utilization of blockchain. In this paper, we propose a tutorial that aims in desiging a generalized blockchain-based secure authentication key management scheme for the IoIT environment. Moreover, some issues with using blockchain for a communication environment are discussed as future research directions. The details of different types of …

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Remembering The City: An Augmented Reality Reconstruction Of Memory, Power, And Identity In Ho Chi Minh City Through Cartography & Architecture, Thuy Dinh Jan 2020

Remembering The City: An Augmented Reality Reconstruction Of Memory, Power, And Identity In Ho Chi Minh City Through Cartography & Architecture, Thuy Dinh

Senior Independent Study Theses

Cartography and architecture are official channels that facilitate remembrance in Ho Chi Minh City. Maps and buildings serve as sites for actors of memory to manipulate the city's narratives and shape its collective identity. Power enables the production of space and knowledge through sites of memory. The ruling regimes of Ho Chi Minh City have leveraged control over the natural environment and the local population to create new forms of materials that propagate their ideologies and ideals for the city. Alterations to the natural and built environments in the city legitimize the authorities' official narratives for its history and future …

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Multiplicative Noise Removal: Nonlocal Low-Rank Model And It's Proximal Alternating Reweighted Minimization Algorithm, Xiaoxia Liu, Jian Lu, Lixin Shen, Chen Xu, Yuesheng Xu Jan 2020

Multiplicative Noise Removal: Nonlocal Low-Rank Model And It's Proximal Alternating Reweighted Minimization Algorithm, Xiaoxia Liu, Jian Lu, Lixin Shen, Chen Xu, Yuesheng Xu

Mathematics & Statistics Faculty Publications

The goal of this paper is to develop a novel numerical method for efficient multiplicative noise removal. The nonlocal self-similarity of natural images implies that the matrices formed by their nonlocal similar patches are low-rank. By exploiting this low-rank prior with application to multiplicative noise removal, we propose a nonlocal low-rank model for this task and develop a proximal alternating reweighted minimization (PARM) algorithm to solve the optimization problem resulting from the model. Specifically, we utilize a generalized nonconvex surrogate of the rank function to regularize the patch matrices and develop a new nonlocal low-rank model, which is a nonconvex …

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