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Articles 2911 - 2940 of 3613
Full-Text Articles in Computer Sciences
Corporate Cybersecurity In The Context Of M&A Transactions, Cameron Beck
Corporate Cybersecurity In The Context Of M&A Transactions, Cameron Beck
Cybersecurity Undergraduate Research Showcase
The rapid rise of digital devices has unlocked a new dimension of innovation and prosperity in the 21st century. Computers are now an integrated and ubiquitous part of our global culture. You would be hard-pressed to walk into any given room without several computer chips humming inaudibly inside the machines that facilitate our modern world. Even lightbulbs and doorbells are connected to the Internet, capturing information from the world around them and sending that information to the Cloud. The Internet expands access to communication, international marketplaces, entertainment, professional resources, and nearly every book in the world.
Random Password Generation, Kirk Smith
Random Password Generation, Kirk Smith
Cybersecurity Undergraduate Research Showcase
This paper will discuss the topic of random generation, first by explaining the topic, followed by how the literature review was performed. Then, a literature review will be performed, followed by a discussion of human biases and the strength of random password generation.
The Future Of Blockchain, Elijah N. Gartrell
The Future Of Blockchain, Elijah N. Gartrell
Cybersecurity Undergraduate Research Showcase
Blockchain is the leading technology for cryptocurrencies, NFT’s and other online marketplace transactions that go through it because of it’s secure technology and how they distribute their data with Smart Contracts. This report shows how we can use Blockchain for other uses in our world and how it could advance us in the cybersecurity aspects. Showing also why we should use blockchain with basic cybersecurity concerns as in: Malware Detection, Voter Fraud, and Medical Record Security.
Odu Undergraduate Students Addressing The Societal Problems Of Parking Control, Classroom Seating, And Flood Monitoring In Hampton Roads, Stephanie K. Trusty, Gabriel Del Razo, Nathan Potter, Soad Ibrahim, Ayman Elmesalami
Odu Undergraduate Students Addressing The Societal Problems Of Parking Control, Classroom Seating, And Flood Monitoring In Hampton Roads, Stephanie K. Trusty, Gabriel Del Razo, Nathan Potter, Soad Ibrahim, Ayman Elmesalami
OUR Journal: ODU Undergraduate Research Journal
During the summer of 2021, ODU undergraduate computer science students undertook image processing research projects. These projects focused on utilizing the Raspberry Pi computer and camera module to address three real-world problems concerning parking control, classroom seating, and flood monitoring. The parking lot occupancy project aimed to develop a system that monitors the occupancy of parking spaces in a lot and communicates the status of the lot of drivers and the lot attendants. The COVID-19 classroom occupancy project sought to enforce social distancing protocols in a classroom environment by detecting seating violations and notifying the instructor and the impacted students …
The “Office Of The Ciso”: A Framework For Chief Information Security Officers, Yael Nagler, Christophe Veltsos
The “Office Of The Ciso”: A Framework For Chief Information Security Officers, Yael Nagler, Christophe Veltsos
Computer Information Science Department Publications
As we enter 2022, cybersecurity continues to challenge corporations and their CISOs. The sophistication of cyberthreats coupled with an evolving digital landscape has resulted in increased complexity and expanded responsibilities for the CISO. Simply put, there is greater scrutiny, greater regulation, greater complexity, and greater scope than ever before. To respond to these changes, CISOs must organize their “Office of the CISO” to meet the expectations and deliver for their organizations. Whether the CISO has a staff of three or thirty and whether they are prepared or not, these elements are being increasingly expected of CISOs. You can think of …
Leveraging Human-Centered Insights And Vision Transformers To Understand And Detect Online Risks In Teens' Private Social Media Conversations On Instagram, Joshua Gracie
Electronic Theses and Dissertations, 2020-2023
With the growing ubiquity of the internet and internet enabled devices, the issue of online risk and the need for safety measures against such risks has grown paramount. Many researchers have analyzed the scope and characteristics of online risk, especially with respect to demographics, yet few have studied the risky media itself. This work sets out to move the conversation from surveys and interviews to content analysis and automation through a comprehensive thematic analysis of online multi-media risks (images and videos) sent to and from teens in private messages on Instagram. These messages, along with demographic information such as age …
Multivariate Cognitive Walkthrough Of Qubitvr: An Educational Quantum Computing, Virtual Reality Application, Pauline Johnson
Multivariate Cognitive Walkthrough Of Qubitvr: An Educational Quantum Computing, Virtual Reality Application, Pauline Johnson
Electronic Theses and Dissertations, 2020-2023
Quantum computing is a promising field but understanding how it works can be challenging for a beginner. There are also not many educational resources to visualize and learn about quantum computing. To advance knowledge in this area, we have created QubitVR, which employs a Bloch sphere representation of a qubit, and supports trajectory visualizations and state equations in a virtual reality (VR) setting. We also conducted a multivariate cognitive walkthrough with subject matter experts (SMEs) on QubitVR to assess the effectiveness of trajectory visualizations and state equations in learning about quantum gates. The results were that trajectory visualizations aided users …
Quantum Graph Parameters, Parisa Darbari Kozekanan
Quantum Graph Parameters, Parisa Darbari Kozekanan
Electronic Theses and Dissertations, 2020-2023
This dissertation considers some of the advantages, and limits, of applying quantum computing to solve two important graph problems. The first is estimating a graph's quantum chromatic number. The quantum chromatic number is the minimum number of colors necessary in a two-player game where the players cannot communicate but share an entangled state and must convince a referee with probability one that they have a proper vertex coloring. We establish several spectral lower bounds for the quantum chromatic number. These lower bounds extend the well-known Hoffman lower bound for the classical chromatic number. The second is the Pattern Matching on …
Methods For Defending Neural Networks Against Adversarial Attacks, Sharvil Shah
Methods For Defending Neural Networks Against Adversarial Attacks, Sharvil Shah
Electronic Theses and Dissertations, 2020-2023
Convolutional Neural Networks (CNNs) have been at the frontier of the revolution within the field of computer vision. Since the advent of AlexNet in 2012, neural networks with CNN architectures have surpassed human-level capabilities for many cognitive tasks. As the neural networks are integrated in many safety critical applications such as autonomous vehicles, it is critical that they are robust and resilient to errors. Unfortunately, it has recently been observed that deep neural network models are susceptible to adversarial perturbations which are imperceptible to human vision. In this thesis, we propose a solution to defend neural networks against white box …
Algorithms For The Detection Of Resolved And Unresolved Targets In The Infrared Bands, Bruce Mcintosh
Algorithms For The Detection Of Resolved And Unresolved Targets In The Infrared Bands, Bruce Mcintosh
Electronic Theses and Dissertations, 2020-2023
This dissertation proposes algorithms for the detection of both resolved and unresolved targets in the infrared bands. Recent breakthroughs in deep learning have spurred major advancements in computer vision, but most of the attention and progress has been focused on RGB imagery from the visual band. The infrared bands such as Long Wave Infrared (LWIR), Medium Wave Infrared (MWIR), Short Wave Infrared (SWIR) and Near Infrared (NIR) each respond differently to physical phenomena, providing information that can be used to better understand the environment. The first task addressed is that of detecting vehicles in heavy clutter in MWIR imagery. A …
Load Forecasting And Synthetic Data Generation For Smart Home Energy Management System, Mina Razghandi
Load Forecasting And Synthetic Data Generation For Smart Home Energy Management System, Mina Razghandi
Electronic Theses and Dissertations, 2020-2023
A number of recent trends, such as the increased power consumption in developed and developing countries, the dangers associated with greenhouse gases, the potential shortages of fossil fuels, and the increasing availability of solar and wind energy act as motivating factors for the development of more intelligent and efficient systems both on the power provider as well as the consumer side. One of the most important prerequisites for making efficient energy management decisions is the ability to predict energy production and consumption patterns. While long-term forecasting of average consumption had been extensively used to direct investments in the energy grid, …
Visual Question Answering: Exploring Trade-Offs Between Task Accuracy And Explainability, Aisha Urooj
Visual Question Answering: Exploring Trade-Offs Between Task Accuracy And Explainability, Aisha Urooj
Electronic Theses and Dissertations, 2020-2023
Given visual input and a natural language question about it, the visual question answering (VQA) task is to answer the question correctly. To improve a system's reliability and trustworthiness, it is imperative that it links the text (question and answer) to specific visual regions. This dissertation first explores the VQA task in a multi-modal setting where questions are based on video as well as subtitles. An algorithm is introduced to process each modality and their features are fused to solve the task. Additionally, to understand the model's emphasis on visual data, this study collects a diagnostic set of questions which …
Computational Methods To Analyze Next-Generation Sequencing Data In Genomics And Metagenomics, Saidi Wang
Computational Methods To Analyze Next-Generation Sequencing Data In Genomics And Metagenomics, Saidi Wang
Electronic Theses and Dissertations, 2020-2023
This thesis focuses on two important computational problems in genomics and metagenomics with the public available next-generation sequencing data. One is about gene regulation, for which we explore how distal regulatory elements may interact with the proximal regulatory elements. The other is about metagenomics, in which we study how to reconstruct bacterial strain genomes from shotgun reads. Studying gene regulation, especially distal gene regulation, is important because regulatory elements, including those in distal regulatory regions, orchestrate when, where and how much a gene is activated under every experimental condition. Their dysfunction results in various types of diseases. Moreover, the current …
A Human-Centered Approach To Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi
A Human-Centered Approach To Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi
Electronic Theses and Dissertations, 2020-2023
Computational risk detection has the potential to protect especially vulnerable populations from online victimization. Conducting a comprehensive literature review on computational approaches for online sexual risk detection led to the identification that the majority of this work has focused on identifying sexual predators after-the-fact. Also, many studies rely on public datasets and third-party annotators to establish ground truth and train their algorithms, which do not accurately represent young social media users and their perspectives to prevent victimization. To address these gaps, this dissertation integrated human-centered approaches to both creating representative datasets and developing sexual risk detection machine learning models to …
Examining Cooperative System Responses Against Grid Integrity Attacks, Alexander D. Parady
Examining Cooperative System Responses Against Grid Integrity Attacks, Alexander D. Parady
Honors Undergraduate Theses
Smart grid technologies are integral to society’s transition to sustainable energy sources, but they do not come without a cost. As the energy sector shifts away from a century’s reliance on fossil fuels and centralized generation, technology that actively monitors and controls every aspect of the power infrastructure has been widely adopted, resulting in a plethora of new vulnerabilities that have already wreaked havoc on critical infrastructure. Integrity attacks that feedback false data through industrial control systems, which result in possible catastrophic overcorrections and ensuing failures, have plagued grid infrastructure over the past several years. This threat is now at …
Distance Perception Through Head-Mounted Displays, Sina Masnadi
Distance Perception Through Head-Mounted Displays, Sina Masnadi
Electronic Theses and Dissertations, 2020-2023
It has been shown in numerous research studies that people tend to underestimate distances while wearing head-mounted displays (HMDs). We investigated various possible factors affecting the perception of distance is HMDs through multiple studies. Many contributing factors has been identified by researchers in the past decades, however, further investigation is required to provide a better understanding of this problem. In order to find a baseline for distance underestimation, we performed a study to compare the distance perception in real world versus a fake headset versus a see-through HMD. Users underestimated distances while wearing the fake headset or the see-through HMD. …
How Adolescents In The Child Welfare System Seek Support For Their Sexual Risk Experiences Online, Taylor L. Moraguez
How Adolescents In The Child Welfare System Seek Support For Their Sexual Risk Experiences Online, Taylor L. Moraguez
Honors Undergraduate Theses
Youth in the foster care system experience unique and challenging situations online, such as higher risks of inappropriate messaging (e.g., sexting) and unwanted solicitations from strangers. As a vulnerable group of adolescents, foster youth often use online platforms as a resource to express themselves and seek support over their sexual experiences online. This thesis analyzes how foster youth seek support online for their sexual risk experiences, including sexual abuse, sexting, and sexuality. To understand how adolescents (ages 13-17) in the child welfare system seek support for these experiences, we conducted a thematic analysis of 541 individual posts made by 121 …
Panic Engine - A Game Engine, Zachary Winters
Panic Engine - A Game Engine, Zachary Winters
Computer Science & Engineering Student Projects
A poster about a 3D web-based game engine based on three.js and their WebGL tools created over J-Term 2022. See link in Notes field for more information.
Envisage Planner Archive, Tim Swanson
Envisage Planner Archive, Tim Swanson
Computer Science & Engineering Student Projects
Envisage Planner is a web application designed to help students with all areas of academic planning. The developer started working on it several years ago (2020), and for the CS Senior project, he and several other CS students developed an update to it.
A Systematic Analysis Of Community Detection In Complex Networks, Haji Gul, Feras Al-Obeidat, Adnan Amin, Muhammad Tahir, Fernando Moreira
A Systematic Analysis Of Community Detection In Complex Networks, Haji Gul, Feras Al-Obeidat, Adnan Amin, Muhammad Tahir, Fernando Moreira
All Works
Numerous techniques have been proposed by researchers to uncover the hidden patterns of real-world complex networks. Finding a hidden community is one of the crucial tasks for community detection in complex networks. Despite the presence of multiple methods for community detection, identification of the best performing method over different complex networks is still an open research question. In this article, we analyzed eight state-of-the-art community detection algorithms on nine complex networks of varying sizes covering various domains including animal, biomedical, terrorist, social, and human contacts. The objective of this article is to identify the best performing algorithm for community detection …
Developing An Ios Game Application: Magnet Hockey, Trevor D. Wysong
Developing An Ios Game Application: Magnet Hockey, Trevor D. Wysong
The Graduate Review
Mobile application development requires mindful and meticulous planning. Application design should be responsive and intuitive so that navigation feels natural for the user. All targeted devices should be offered a relatively consistent experience. To ensure this, app performance needs to be closely monitored and different screen sizes and aspect ratios need to be considered when scaling. For an app to become attractive to many people, it should either be competitive with similar apps or be unique and interesting enough to entice people to download it. A unique app should couple familiar elements with new components or twists [8]. People are …
The State Of The Art Of Information Integration In Space Applications, Zhuming Bi, K. L. Yung, Andrew W.H. Ip., Yuk Ming Tang, Chris W.J. Zhang, Li Da Xu
The State Of The Art Of Information Integration In Space Applications, Zhuming Bi, K. L. Yung, Andrew W.H. Ip., Yuk Ming Tang, Chris W.J. Zhang, Li Da Xu
Information Technology & Decision Sciences Faculty Publications
This paper aims to present a comprehensive survey on information integration (II) in space informatics. With an ever-increasing scale and dynamics of complex space systems, II has become essential in dealing with the complexity, changes, dynamics, and uncertainties of space systems. The applications of space II (SII) require addressing some distinctive functional requirements (FRs) of heterogeneity, networking, communication, security, latency, and resilience; while limited works are available to examine recent advances of SII thoroughly. This survey helps to gain the understanding of the state of the art of SII in sense that (1) technical drivers for SII are discussed and …
The Effects Of Recommender System On Sales Promotion Of High-Value Products: Evidence From A Field Experiment In The Real Estate Industry, Lian Liu
Dissertations and Theses Collection (Open Access)
Real estate sales industry in China has long suffered the problem of inefficient matching of customers to projects. Inspired by the design of recommender systems, which have been widely used in the online retail industry, and are shown to facility customer-product matching and improve sales, we apply this system to the real estate sales industry using a novel approach. Instead of recommending products to customers, we suggest the best potential customers to salespeople with whom they will conduct sales with. Using city-wide sales data from the largest real estate sales company in China, we first develop a recommend system based …
Improving Collaborative Recommendation Based On Item Weight Link Prediction, Sahraoui Kharroubi, Youcef Dahmani, Omar Nouali
Improving Collaborative Recommendation Based On Item Weight Link Prediction, Sahraoui Kharroubi, Youcef Dahmani, Omar Nouali
Turkish Journal of Electrical Engineering and Computer Sciences
There is a continuous information overload on the Web. The problem treated is how to have relevant items (documents, products, services, etc.) at time and without difficulty. Filtering system also called recommender systems are widely used to recommend items to users by similarity process such as Amazon, MovieLens, Cdnow, etc. In the literature, to predict a link in a bipartite network, most methods are based either on a binary history (like, dislike) or on the common neighbourhood of the active user. In this paper, we modelled the recommender system by a weighted bipartite network. The bipartite topology offers a bidirectional …
Towards A Burden-Free Implicit Authentication For Wearable Device Users, Bryan Lee, Sudip Vhaduri
Towards A Burden-Free Implicit Authentication For Wearable Device Users, Bryan Lee, Sudip Vhaduri
Discovery Undergraduate Interdisciplinary Research Internship
The state of current knowledge-based wearable authentication systems requires users to physically interact with a device to initiate and validate their presence, thereby imposing a burden on the user. However, with the recent advancements of sensor technologies in consumer smart wearables (e.g., Fitbit and Apple watches), we were able to utilize vectors of statistical features extracted from the continuous stream of data from these IoT devices to implicitly validate a user's activities and its spatiotemporal context via the use of machine learning techniques. To improve the performance of our models, additional soft biometric data (i.e., respiratory sounds) was collected, and …
Open-Source Education Management System, Shaoxiong Yang
Open-Source Education Management System, Shaoxiong Yang
LMU Theses and Dissertations
This is an open source education management system developed on React with Agile management method. Suitable for learning various languages, it is currently developed for the purpose of learning Chinese. Teachers can post assignments and announcements, and students can do lots of practice and quiz on this.
A Historical And Practical Survey Of Quantum Computing Using Qiskit, Kenneth Paul Cook
A Historical And Practical Survey Of Quantum Computing Using Qiskit, Kenneth Paul Cook
Senior Honors Theses and Projects
Quantum Computing has been a part of computer science literature since the 1960s, but the call for quantum mechanical-based computation came when renowned theoretical physicist Richard Feynman said, “… nature isn't classical, dammit, and if you want to make a simulation of nature, you'd better make it quantum mechanical, and by golly it's a wonderful problem, because it doesn't look so easy.” (Feynman, 486) His words inspired people to begin work on the project immediately. Although the best ideas have not yet been found, there is much active research and experimentation going on to learn how best to use these …
Password Managers: Secure Passwords The Easy Way, Alexander Master
Password Managers: Secure Passwords The Easy Way, Alexander Master
CERIAS Technical Reports
Poor passwords are often the central problem identified when data breaches, ransomware attacks, and identity fraud cases occur. This Purdue Extension publication provides everyday users of Internet websites and computer systems with tools and strategies to protect their online accounts. Securing information access with password managers can be convenient and often free of cost, on a variety of devices and platforms. “Do’s and Don’ts” of password practices are highlighted, as well as the benefits of multi-factor authentication. The content is especially applicable for small businesses or non-profits, where employees often share access to systems or accounts.
Speciation And Nucleation Of An(Iv) In Aqueous Media, Saikot Mazumder
Speciation And Nucleation Of An(Iv) In Aqueous Media, Saikot Mazumder
Dissertations and Theses
Actinide molecular metal oxides are a family of clusters composed of a variable number of An(IV) centers connected through a network of oxygen and hydroxide ligands with many potential applications in nuclear waste reprocessing and environmental remediation. However, our knowledge regarding the aqueous speciation of actinide ions and their preferred nucleation pathway to form high nuclearity clusters is limited compared to their transition metal counterparts. Here, we present a computational study on the speciation and nucleation of actinide ions up to 4+ in aqueous media in the presence of zwitterionic glycine ligands. Both eight and nine coordinated species were considered. …
A Metric For Machine Learning Vulnerability To Adversarial Examples, Matt Bradley
A Metric For Machine Learning Vulnerability To Adversarial Examples, Matt Bradley
Masters Theses & Doctoral Dissertations
Machine learning is used in myriad aspects, both in academic research and in everyday life, including safety-critical applications such as robust robotics, cybersecurity products, medial testing and diagnosis where a false positive or negative could have catastrophic results. Despite the increasing prevalence of machine learning applications and their role in critical systems we rely on daily, the security and robustness of machine learning models is still a relatively young field of research with many open questions, particularly on the defensive side of adversarial machine learning. Chief among these open questions is how best to quantify a model’s attack surface against …