Computer Sciences Commons^™

Uc-087 - Hibernate Funds: Back Office Portals For Fundraisers, Phillip Blackwell, Kasey L. Merritt, Patrick A. Krouba, Daniel Duran, Diana Calixto, Logan Miller

C-Day Computing Showcase

No abstract provided.

Uc-138 - 3d Extraction From Physics Exercise Videos, Zachary Matthews, Lhakpa N. Sherpa, Francisco J. Alvarez, Sam Guan, Philip Mcfarland, Cole Bruton

C-Day Computing Showcase

No abstract provided.

Uc-116 - Security Solution For A Small Business, Jessica Casasola, Craig Englert, Phuc Nguyen, Charles Pegram, James Vesper

C-Day Computing Showcase

No abstract provided.

Molecular Dynamics Simulations Of Vibrational Infrared And Raman Spectra Of H5o2+, Oluwaseun Omodemi, Ivonne Meares, Gabriella Garofalo, Martina Kaledin

Symposium of Student Scholars

We report infrared (IR) and Raman vibrational spectra of H₅O₂⁺ protonated water dimer using computational chemistry methods, the normal mode analysis (NMA), and molecular dynamics (MD) simulations. Various computational methods and basis sets were used. We also located the H₅O₂⁺ stationary points on the potential energy surface using the Gaussian 16 program. The H₅O₂⁺ Zundel complex serves as a benchmark system to study the proton transfer process. We also investigated IR and Raman intensities of other deuterated analogs, such as D₅O₂⁺, D_{4 …}

Emotional Analysis Of Learning Cybersecurity With Games Using Iot, Maria Valero, Md Jobair Hossain, Shahriar Sobhan

KSU Proceedings on Cybersecurity Education, Research and Practice

The constant rise of cyber-attacks poses an increasing demand for more qualified people with cybersecurity knowledge. Games have emerged as a well-fitted technology to engage users in learning processes. In this paper, we analyze the emotional parameters of people while learning cybersecurity through computer games. The data are gathered using a non-invasive Brain-Computer Interface (BCI) to study the signals directly from the users’ brains. We analyze six performance metrics (engagement, focus, excitement, stress, relaxation, and interest) of 12 users while playing computer games to measure the effectiveness of the games to attract the attention of the participants. Results show participants …

Resilience Vs. Prevention. Which Is The Better Cybersecurity Practice?, Frank Katz

KSU Proceedings on Cybersecurity Education, Research and Practice

Students in multiple cohorts of our 3000 level Fundamentals of Information Systems Security course were given a discussion question where they had to either agree or disagree with the premise that given all the constant threats to our systems, we should dedicate more of our efforts to quickly repairing the damage of an attack rather than dedicate more of our time and energies to preventing such attacks. They were required to give their reasoning and provide sources to back up their analysis of his comment.

This paper will describe and explain the concept of cyber resiliency. It will then evaluate …

Warshipping: Hacking The Mailroom, Jackson Szwast, Bryson Payne

KSU Proceedings on Cybersecurity Education, Research and Practice

Everyone knows what package shipping is, but not everyone knows what warshipping is. Corporate mailrooms are rarely considered as part of the cybersecurity attack surface of most organizations, but they offer physical access to millions of uninspected packages daily. UPS shipped 5.5 billion items last year, with their daily average being 21.9 million items and operating through 1,800 locations in 2020. FedEx shipped 6.5 million packages daily and operates 2,150 locations. The United States Postal Service delivered 143 billion pieces of mail in 2019. Increasingly the world’s consumers are relying on e-commerce, and during the recent COVID-19 pandemic, package deliveries …

Towards Assessing Password Workarounds And Perceived Risk To Data Breaches For Organizational Cybersecurity Risk Management Taxonomy, Michael J. Rooney, Yair Levy, Wei Li, Ajoy Kumar

KSU Proceedings on Cybersecurity Education, Research and Practice

Cybersecurity involves a broad range of techniques, including cyber-physical, managerial, and technical, while authentication provides a layer of protection for Information Systems (IS) against data breaches. The recent COVID-19 pandemic brought a tsunami of data breach incidents worldwide. Authentication serves as a mechanism for IS against unauthorized access utilizing various defense techniques, with the most popular and frequently used technique being passwords. However, the dramatic increase of user accounts over the past few decades has exposed the realization that technological measures alone cannot ensure high level of IS security; this leaves the end-users holding a critical role in protecting their …

Analyzing Robotics Software Vulnerabilities, Hossain Shahriar, Md Jobair Hossain Faruk, Shahriar Sobhan, Mohammad Nazim

KSU Proceedings on Cybersecurity Education, Research and Practice

Robots are widely used in our day-to-day life in various domains. For example, eldercare robots, such as CareO-Bots [1]are used to perform household tasks and provide mobility assistance [2]. Amazon uses manufacturing robots to accomplish manufacturing labor activities, such as welding and assembling equipment [2]. According to the International Data Corporation, spending on robotics is expected to reach USD 241.4 billion by the end of 2023 [4].

However, malicious users can exploit security vulnerabilities in hardware and software components of robotics systems to conduct security attacks and cause malfunction, i.e., deviate robots from their expected behaviors. Security attacks on robots …

A Taxonomy Of Cyberattacks Against Critical Infrastructure, Miloslava Plachkinova, Ace Vo

KSU Proceedings on Cybersecurity Education, Research and Practice

The current study proposes a taxonomy to organize existing knowledge on cybercrimes against critical infrastructure such as power plants, water treatment facilities, dams, and nuclear facilities. Routine Activity Theory is used to inform a three-dimensional taxonomy with the following dimensions: hacker motivation (likely offender), cyber, physical, and cyber-physical components of any cyber-physical system (suitable target), and security (capable guardian). The focus of the study is to develop and evaluate the classification tool using Design Science Research (DSR) methodology. Publicly available data was used to evaluate the utility and usability of the proposed artifact by exploring three possible scenarios – Stuxnet, …

An Empirical Study Of Thermal Attacks On Edge Platforms, Tyler Holmes

Symposium of Student Scholars

Cloud-edge systems are vulnerable to thermal attacks as the increased energy consumption may remain undetected, while occurring alongside normal, CPU-intensive applications. The purpose of our research is to study thermal effects on modern edge systems. We also analyze how performance is affected from the increased heat and identify preventative measures. We speculate that due to the technology being a recent innovation, research on cloud-edge devices and thermal attacks is scarce. Other research focuses on server systems rather than edge platforms. In our paper, we use a Raspberry Pi 4 and a CPU-intensive application to represent thermal attacks on cloud-edge systems. …

Molecular Vibrations Of Symmetric Molecules: Raman Scattering Driven Molecular Dynamics Method, Martina Kaledin, Dominick Pierre-Jacques, Ciara Tyler, Jason Dyke

Symposium of Student Scholars

This project focuses on developing a novel computational technique to study molecular vibrations through infrared (IR) and Raman scattering Driven Molecular Dynamics (DMD) method. While the main criterion for IR absorption is a net change in the dipole moment in a molecule as it vibrates, presently we wish to predict and analyze vibrational spectra to study symmetric vibrational modes that are IR inactive or weakly active while strongly Raman active. A newly developed method was tested on CO₂, H₂O, CH₄, and C₂₀ molecules. Students optimized the molecular structures, obtained vibrational frequencies, and IR …

Learning Environment Containerization Of Machine Learning For Cybersecurity, Hao Zhang

Symposium of Student Scholars

Machine learning plays a critical role in detecting and preventing in the field of cybersecurity. However, many students have difficulties on configuring the appropriate coding environment and retrieving datasets on their own computers, which, to some extent, wastes valuable time for learning core contents of machine learning and cybersecurity. In this paper, we propose an approach with learning environment containerization of machine learning algorithm and dataset. This will help students focus more on learning contents and have valuable hand-on experience through Docker container and get rid of the trouble of configuration coding environment and retrieve dataset. This paper provides an …

Spam Email Detection: Comparison Between Naïve Bayes And Neural Network, Zhuolin Li

Symposium of Student Scholars

Classification is an important technique to deal with cybersecurity threats. In this paper, we detect spam emails from publicly available dataset using Naive Bayes and Neural Network (NN). The results from experiments show that for data sets with more balanced for classification, the accuracy of Naive Bayes is better than NN

Finding Similar Stocks By Detecting Cliques In Market Graphs, Sudhashree Sayenju

Symposium of Student Scholars

The stock market provides an abundant source of data. However, when the amount of raw data becomes overwhelming it grows increasingly difficult to know how the stocks interact with each other. Stock data visualization as a market graph serves as one of the most popular way of summarizing important information. When modelling the data as a graph, vertices correspond to stocks and edges correspond to strong correlation in their pricing in a certain period of time. This project presents a technique to find stocks that behave very similarly. Such information helps investors make decisions on which stocks to purchase next. …

Probing Structure And Energetics Of Proton-Bound Complexes N2…Hco+ And N2h+…Oc Using Computational Chemistry Methods, Antonio Barrios, Dalton Boutwell, Onyi Okere, Monique Olocha, Oluwaseun Omodemi, Alexander Toledo, Antonio Barrios

Symposium of Student Scholars

N₂…HCO⁺ and N₂H⁺…OC are predicted to exist in interstellar clouds. These complexes involve HCO⁺ and N₂H⁺ fragments that are bound to N₂ and CO, respectively using hydrogen-bonded interaction. The reason these molecules are important is that the existence of nitrogen can be measured indirectly through ion-molecular complexes studied in this work. The measured vibrational spectra of molecules is an excellent way to characterize and detect molecules. We used B3LYP, MP2, and CCSD(T) computational methods to predict the structure and vibrational frequencies of N₂…HCO⁺ and N …

Theoretical Study On The Isomerization And Detection Of N2h+…Oc Complex In Interstellar Clouds, Dalton Boutwell, Martina Kaledin

Symposium of Student Scholars

In this study, we characterize N₂H⁺…OC linear complex using Driven Molecular Dynamics (DMD) and Vibrational Self-Consistent Field Theory (VSCF) methods due to its relevance in astrochemistry. A central challenge is the detection of the molecular complex in interstellar media (ISM). Computational chemistry approaches can predict vibrational spectra, hence facilitate prediction of its existence and stability in the ISM. N₂H⁺…OC involves the proton transfer process via hydrogen bonding interaction. Proton motion is highly anharmonic, therefore facing a significant challenge to characterize it accurately. Quantum mechanical variational methods are popular among many theoretical chemists …

Energy Saving On Edges: State-Of-The-Art And Future Directions, Kousalya Banka

Symposium of Student Scholars

Internet of Things (IoT) comprises a set of devices that are interconnected ranging from our daily used objects to advanced networked devices. It is a constantly evolving phenomenon as the number of devices owned by the regular user is increasing at a rapid rate. These devices are used for various reasons such as social networking, monitoring, performing complex operations and with the increase of advanced technologies, they demand more energy to perform such tasks. Cloud computing enables these communications to seamlessly perform complex tasks in a cloud environment but utilizing these resources properly to perform at the best is the …

Secure Coding In Five Steps, Mini Zeng, Feng Zhu

Journal of Cybersecurity Education, Research and Practice

Software vulnerabilities have become a severe cybersecurity issue. There are numerous resources of industry best practices available, but it is still challenging to effectively teach secure coding practices. The resources are not designed for classroom usage because the amount of information is overwhelming for students. There are efforts in academia to introduce secure coding components into computer science curriculum, but a big gap between industry best practices and workforce skills still exists. Unlike many existing efforts, we focus on both the big picture of secure coding and hands-on projects. To achieve these two goals, we present five learning steps that …

Observations, Evaluations, And Recommendations For Deterlab From An Educational Perspective, Ahmed Ibrahim, Vitaly Ford

Journal of Cybersecurity Education, Research and Practice

DETERLab is a cluster environment that provides a set of virtual machines that can be used by researchers and teachers to run cybersecurity experiments and competitions, and where it is possible to deploy different network configurations to research attack and defense mechanisms in the cyber world. While we were working to develop a pathway for producing more usable and effective cybersecurity educational resources by investigating and examining several projects, we examined DETERLab as a prospective platform to use in the classroom. Throughout our experimentation, we faced challenges that we decided to document in order to help other educators use the …

An Exploratory Study Of Mode Efficacy In Cybersecurity Training, Michael D. Workman

Journal of Cybersecurity Education, Research and Practice

Cybersecurity capabilities in organizations and governmental agencies continue to lag behind the threats. Given the current environment, these entities have placed renewed emphasis on cybersecurity education. However, education appears to lack its full potential in most settings. Few empirical studies have systematically tested the efficacy of various training methods and modes, and those that have been conducted have yielded inconsistent findings. Recent literature on the use of gamified simulations have suggested that they may improve cybersecurity behaviors. Similarly, live activities such as hackathons and capture the flag events have been surmised to augment learning and capabilities. We conducted an exploratory …

Using Big Data Analytics To Optimize Practical Large Databases, Po-Chun Lu

Master of Science in Computer Science Theses

Big data analytics is gaining popularity for enterprises in optimizing their business processes ranging from retailers, supply chains, to online shopping stores. Existing practical raw data are far from usable to achieve the goal. Therefore, a good data pre-processing approach is required and is a key step to success. We propose to research on the effectiveness of data pre-processing and the business process based on a real world database. Our methodology involves natural language processing. Our key goal is to study appropriate methods with big data analysis techniques that can handle errors, ambiguity, and repeated descriptions caused by human languages. …

Characterizing The Vibrational Spectra Of Hydrogen Bonded Systems With Molecular Dynamics Simulations And Quantum Chemical Methods, Dalton Boutwell

Master of Science in Chemical Sciences Theses

We apply and assess the utility of DMD for the purpose of investigating complex spectral features in N₂H⁺···OC, N₂D⁺···OC, C₂O₄H^-, C₂O₄D^- and (HCOOH)₂. The proton transfer as a vibrational motion consists of diffuse qualities that can be accounted for with classical and quantum chemical analyses. Classical approaches yield a wealth of information about vibrational spectra at a reduced cost, as in the case of previously investigated N₄H⁺. The isoelectronic N₂H⁺···OC has …

Challenges And Success Factors Of Scaled Agile Adoption – A South African Perspective, Lucas Khoza, Carl Marnewick

The African Journal of Information Systems

Agile methods and Agile scaling frameworks have become a solution for software-developing organizations striving to improve the success of software projects. Agile methods were developed for small projects, but due to their benefits, even large software-developing organizations have adopted them to scale their software projects. This quantitative study was undertaken to deepen the researchers’ understanding of the critical success factors and challenges of Scaled Agile from the South African perspective. A simple random sampling method was used. Data was collected with the use of an online structured questionnaire and the response rate was 70%. The results reveal that customer satisfaction …

The Social Market Economy As A Formula For Peace, Prosperity, And Sustainability, Almuth D. Merkel

Doctor of International Conflict Management Dissertations

The social market economy was developed in Germany during the interwar period amidst political and economic turmoil. With clear demarcation lines differentiating it from socialism and laissez-faire capitalism, the social market economy became a formula for peace and prosperity for post WWII Germany. Since then, the success of the social market economy has inspired many other countries to adopt its principles. Drawing on evidence from economic history and the history of economic thought, this thesis first reviews the evolution of the fundamental principles that form the foundation of social-market economic thought. Blending the micro-economic utility maximization framework with traditional growth …

Federated Learning For Secure Sensor Cloud, Viraaji Mothukuri

Master of Science in Software Engineering Theses

Intelligent sensing solutions bridge the gap between the physical world and the cyber world by digitizing the sensor data collected from sensor devices. Sensor cloud networks provide resources to physical and virtual sensing devices and enable uninterrupted intelligent solutions to end-users. Thanks to advancements in machine learning algorithms and big data, the automation of mundane tasks with artificial intelligence is becoming a more reliable smart option. However, existing approaches based on centralized Machine Learning (ML) on sensor cloud networks fail to ensure data privacy. Moreover, centralized ML works with the pre-requisite to have the entire training dataset from end-devices transferred …

Fine-Grained Sentiment Analysis For Customer Review, Bing Han, Meng Han, Jing (Selena) He

Master of Science in Computer Science Theses

Natural Language Processing (NLP) is one of the most attractive technologies in many applications in real-life. Sentiment analysis, which has devoted to know others' think or feel about an experience or an item and hence take an action, is one of the most developed area in both academia and industry. Among sentiment analysis, fine-grained aspect sentiment analysis attempts to analyze emotional attitude categorized into different aspects or features of an(a) experience/service/product. Although aspect level sentiment analysis could provide more useful information, the proposed models' performance were relative poor compared with document-level or sentence-level sentiment analysis due to the lack of …

Profile Modeling In Hierarchical Deep Architecture By Mutual Support, Honglai Peng, Meng Han, Jing (Selena) He

Master of Science in Computer Science Theses

Despite significant advances in the field of face analysis over last decade, the current studies are still limited to specific face computation tasks using deep learning approaches. In this paper, we propose an end-to-end hierarchical deep learning structure, called Multi-Features Convolutional Neural Networks (MFCNN), which can comprehensively implement face analysis including age, gender, race and emotion. Moreover, we take the advantages of the mutual support among different facial features from individual tasks to improve the performance of our model. We also contribute one all-labeling dataset called Multiple Facial Features Computation (MFFC) based on Apparent-age-V2 dataset. Firstly, we train four different …

Gc-52 Ksu Spring Capstone - It Security Solution For Small Business – Group 1, William Simmons, Olajumoke Giwa, Beau Beard, Collin Peters

C-Day Computing Showcase

For this project, we decided to use the nopCommerce open-source eCommerce solution for our simulated small business. Leveraging the pre-configured web server provide to our group, we installed the nopCommerce solution package and built our security program around the web site. Our security program consists of nginx configured web server and load balancer, SSL certificate for encryption, firewall and a secure backend SQL server.Advisors(s): Project Sponsor: Dr. Lei Li Course Professor: Dr. Meng HanTopic(s): SecurityIT 7993

Gr-29 Wrist Intent Recognition For Stroke Rehabilitation, Suman Bharti

C-Day Computing Showcase

Abstract Hand mentor robotic device is beneficial for stroke patients . This is rehabilitation technique used in stroke therapy. It strengthens and improves the range of motion which ultimately improves the quality of life for severely impaired stroke patients. It is easy to use without assistance and most importantly stroke survivors able to use independently. Usage of hand mentor device is quite expensive for stroke patients on hourly basis . Coming up with most efficient deep learning algorithm for sensor data is motivation to cut down the cost and easy availability usage for stroke patients. EMG signal is recorded using …