Improved Blockchain Technique Based On Modified Slim Algorithm For Cyber Security, Sarah Mohammed Shareef, Rehab Flaih Hassan

Mesopotamian Journal of CyberSecurity

The number of cybersecurity incidents is increasing, and the cost of a security breach has a catastrophic financial effect. The existing real estate information systems require more robust and resilient cybersecurity solutions to secure hardware, software, and databases. Cybersecurity often relies on user behavior. Phishing attacks and social engineering can bypass blockchain security, highlighting the need for robust user education and awareness. Many blockchain networks face challenges in handling a high volume of transactions. Solutions that work well on a small scale may not perform efficiently as the network grows, leading to delays and increased costs. A secure system is …

Robust And Efficient Methods For Key Generation Using Chaotic Maps And A2c Algorithm, Ali A. Mahdi, Mays M. Hoobi

Mesopotamian Journal of CyberSecurity

In the current digital landscape, information security has become a critical necessity given the escalating frequency and sophistication of cyberattacks across global computing networks. Cryptography is the science and practice of securing information by transforming it into a format that is unreadable or inaccessible to unauthorized parties. The strength of the cryptography algorithm lies in the strength of used encryption key. Recently, the nonlinear behavior of chaotic maps has been utilized as a random source to generate robust key stream bits for cryptographic purposes. The aim of this paper is to introduce an efficient and robust system for generating strong …

Secured Multi-Objective Optimisation-Based Protocol For Reliable Data Transmission In Underwater Wireless Sensor Networks, Mostfa Albdair, Zainab Rustum Mohsin, Ahmed Saihood, Aqeel M. Hamad, Aqeel M. Hamad

Mesopotamian Journal of CyberSecurity

Underwater wireless sensor network (UWSN) requirements have increased beyond applications in environmental monitoring and underwater exploration to military surveillance. The complex underwater environment raises many challenges due to high propagation delays, limited bandwidth, high error rates, and dynamic underwater currents. Most traditional clustering algorithms do not consider the multifaceted requirements of UWSNs. In most cases, a single objective is optimised at the cost of other essential factors, such as energy consumption, network robustness, and data transmission reliability. This paper proposes a new UWSN protocol based on the tiger beetle optimisation (TBO) algorithm for multiobjective K-means clustering (TBO-MOK). The protocol comprises …

Smartphone Authentication Based On 3d Touch Sensor And Finger Locations On Touchscreens Via Decision-Making Techniques, Moceheb Lazam Shuwandy, Rawan Adel Fawzi Alsharida, Maytham M. Hammood

Mesopotamian Journal of CyberSecurity

Smartphone authentication systems must balance security and user convenience, which is a persistent challenge in the digital realm. Traditional biometrics, such as fingerprints and facial recognition, face vulnerabilities to spoofing and environmental conditions, limiting reliability. This study introduces a novel approach by integrating three-dimensional (3D) touch sensors with finger location data for authentication. The goal is to develop a system that improves accuracy while minimizing false positives and negatives, leveraging touch pressure and spatial interaction as unique biometric identifiers. Data from 20 participants, including pressure levels, spatial coordinates, and timestamps, were analysed using Random Forest (RF) and Extreme Gradient Boosting …

Enhancing Cybersecurity With Machine Learning: A Hybrid Approach For Anomaly Detection And Threat Prediction, Adil M. Salman, Bashar Talib Al-Nuaimi, Alhumaima Ali Subhi, Hussein Alkattan, Hussein Alkattan

Mesopotamian Journal of CyberSecurity

In today's digital era, cybersecurity has become a principal concern because of the increasing frequency and advancement of cyber threats. This study explores machine learning models for detecting and predicting anomalies in cybersecurity datasets. The research evaluates models such as linear regression, decision tree, RF, gradient boosting, KNN, SVR, LSTM, and neural networks utilizing performance metrics such as accuracy, MAE and MSE. A hybrid model that integrates different learning strategies is additionally proposed to improve the predictive accuracy and strength. The results highlight the superiority of ensemble approaches, especially the hybrid model, in improving peculiarity detection capabilities. The comparative analysis …

Enhancing Traffic Data Security In Smart Cities Using Optimized Quantum-Based Digital Signatures And Privacy-Preserving Techniques, Tuqa Ghani Tregi, Mishall Al-Zubaidie

Mesopotamian Journal of CyberSecurity

Securing big data in power plants is an important and fundamental step in the infrastructure of smart cities. In addition, it becomes a barrier if it is not controlled from the beginning. Security must be a combination of fast and robust properties. This research presents a traffic security system (TSS) in a smart city (SC). It is a novel paradigm meant to improve data security and integrity by means of a multilayered method. Advanced fault analysis, dual-stage pseudonymizing, quantum key distribution via the BB84 protocol, and Falcon signatures (FS) are combined in the proposed system. TSS enhances data security by …

Spatial Analysis Of American Chestnut (Castanea Dentata) Distribution And Ecology In Kentucky’S Federal Lands, Jacob Raymond Pease

Murray State Theses and Dissertations

Anthropogenic factors have been the cause of the decline of tree species across the globe. From unsustainable logging and development to disease and improper management, threats to forests have taken their toll. The American chestnut (Castanea dentata) was once an integral basal tree species in Appalachian forests, but chestnut blight drove the species to functional extinction by the mid-1900s. The recent creation of genetically modified chestnuts gives hope for future restoration of the species throughout its historical range. Despite blight resistance, effective restoration will require optimal site selection for finding and planting chestnuts, which will maximize limited resources. …

An Examination Of Middle School Enrollment And Participation In The National Ffa Organization, Melanie Dorminey

Murray State Theses and Dissertations

Middle school agricultural education programs and opportunities for middle school students to be members of the National FFA Organization were first made available in 1988. The Perkins V Act of 2018 provided the first federal funding to support middle school career and technical education programs. In conjunction with the federal funding provided by the Perkins V Act of 2018, the National FFA Organization adopted a national middle school membership affiliation program where middle school FFA chapters could pay a flat fee for all students enrolled in middle school agricultural education courses over the traditional membership of paying per individual student. …

The Link Between Poor Student Reading Proficiency And College And Career Readiness, James D. Kirkland Iii

Murray State Theses and Dissertations

The ability to read proficiently is a skill often considered necessary for the success of an individual while in school and after graduating from high school. Although reading proficiency plays a large role in an individual's success, many students in our nation’s schools struggle to read and comprehend the texts they are presented with in their academic courses. The purpose of this research study was to determine whether a link existed between the reading proficiency and college and career readiness of high school agriculture students. The study used a mixed methods approach that collected both qualitative and quantitative data to …

Identifying The Agricultural Mechanics Knowledge And Skills Needed By Kentucky Agriculture Teachers, Thomas Poole Jr

Murray State Theses and Dissertations

The agricultural industry increasingly relies on complex machinery and technology, creating a need for skilled workers that are proficient in agricultural mechanics. School-based Agricultural Education (SBAE) programs play a crucial role in preparing students for careers in this field. However, many agriculture teachers feel unprepared to teach agricultural mechanics due to gaps in technical skills, self-efficacy concerns, and safety considerations. This study sought to determine the agricultural mechanics knowledge and skills that Kentucky agriculture teachers need to successfully teach agricultural mechanics in SBAE programs across the state. Using Wells et al.'s (2021) Agricultural Teacher Education and Agricultural Industry Partnership Model …

Strong Neighborhood-Prime Labelings Under Ordinary & Gaussian Integers, Micheal Arnal-Brown

Murray State Theses and Dissertations

This thesis introduces and studies the notion of a strong neighborhood-prime labeling, a strengthening of the neighborhood-prime labeling where the label 1 can be assigned to any vertex in a graph. We prove that several graph families—including paths, cycles (excluding those congruent to 2 modulo 4), caterpillars, helm graphs, closed helm graphs, gear graphs, and graphs with universal vertices—admit such labelings, and also provide results to more general classes of graphs. We extend this new labeling concept to the Gaussian integers using a spiral order- ing on Z[i] and define a Gaussian analogue of strongly neighborhood-primeness. To support this extension, …

Examining Kentucky Agriculture Teachers’ Use Of Student Credentialing In Agricultural Education Programming, Kaycee J. Palmeri, Kevin T. Wells

Murray State Theses and Dissertations

The purpose of this qualitative study was to explore Kentucky agriculture teachers’ perceptions regarding current industry credential offerings, how they operationalize the curricula, knowledge, and skills necessary to prepare for industry credential offerings, and the perceived benefits for students who earn such credentials. The current study was undergirded by human capital theory. Using random sampling across the 12 Kentucky FFA service regions, the researcher collected data from nine current Kentucky agriculture teachers via semi-structured interviews. Further, the researcher used a Qualtrics-based instrument to collect participant demographics data. The analysis of the interview data revealed eight distinct emerging themes. The researcher …

How Did The Covid-19 Pandemic Affect The Educational Level Of Students, Measured By The Act?, Davey A. Reed, Davey A. Reed

Murray State Theses and Dissertations

This study examined the relationship between socioeconomic status (SES), chronic absenteeism, and ACT performance among Alabama’s 4A public high schools, with a particular focus on how these factors evolved before and after the COVID-19 pandemic. Utilizing a longitudinal design, the research examined data from four academic years: 2019 (pre-COVID) and 2022, 2023, and 2024 (post-COVID). Data were obtained from the Alabama State Department of Education’s public report card portal and included ACT composite scores, school-level SES data, and chronic absenteeism rates. Schools were anonymized to ensure confidentiality and grouped into SES categories (Low, Mid, High) for comparative analysis. A combination …

Alabama Agriculture Teachers’ Perceptions Toward Compensation And Extended Contracts, Allison Kincer

Murray State Theses and Dissertations

Abstract

The purpose of the current study was to explore Alabama agriculture teachers’ perceptions toward compensation and extended contract grants that the state offers annually. The current study was a microreplication of Still and Solomonson’s (2024) prior study and was conceptually framed by their agriculture teacher compensation model. Using a Qualtrics-based data collection instrument, the researcher used multiple points of contact as recommended by Dillman et al. (2014) and collected usable data from 95 Alabama agriculture teachers. The researcher used descriptive statistics to analyze all data collected as part of the current study. The researcher found that respondents felt they …

Bridging Classroom And Competition: How Students With Intellectual Disabilities Learn And Apply Ffa-Related Skills, Skyler Lempert

Murray State Theses and Dissertations

Though people often hear about inclusion and differentiation in education and their classroom settings there are questions about the capability and effectiveness of students with moderate to severe disabilities to participate in intra-curricular activities such as the National FFA Organization. Often teachers are tasked with trying to find ways for students to be a part of these experiences with little education on this aspect. This research begins by examining the historical progress of special education, particularly in relation to students with moderate to severe disabilities. It then explores the complex educational needs of this population and how schools have worked …

Relationship Between School Climate And Effectiveness, Michele D. Franklin Mrs

Murray State Theses and Dissertations

Abstract

The purpose of this quasi-experimental study was to explore the relationship between school climate and school effectiveness in six rural elementary schools. School effectiveness was defined by state reading, math, and index achievement scores. The districts’ Studer Education Survey and the KSA’s Quality of School Climate and Safety survey assessment data were combined to determine each school’s climate score. The Multi-Tiered Systems of Support (MTSS) framework guided the study. The study examined a rural school district’s focus on providing a system of support for reading, math, social emotional learning (SEL), and behavior (SEB) that influenced school climate and ultimately …

Elementary School Mathematics Teacher Perspectives Of Blended Learning, Elizabeth H. Forrester

Murray State Theses and Dissertations

This qualitative case study explored the experiences and perceptions of teachers who utilize technology for instructional purposes, blended learning in elementary school instruction, and the impact of professional development (PD) on blended learning instruction. Guided by the Technological, Pedagogical, and Content Knowledge theory (TPACK), research aims to understand teachers' motivation and use of blended learning during instruction and the impact PD has had on teachers’ implementation of blended learning. Data was collected through semi-structured interviews of seven elementary school teachers in grades two through five in the state of Kentucky. Findings revealed that teachers experienced technology integration instruction during their …

Zika Virus Encephalitis Causes Transient Reduction Of Functional Cortical Connectivity, Shannon C Agner, Lindsey M Brier, Jeremy D Hill, Ethan Y Liu, Annie Bice, Rachel M Rahn, Shengxuan Chen, Joseph P Culver, Robyn S Klein

2020-Current year OA Pubs

SIGNIFICANCE: Determining the long-term cognitive impact of infections is clinically challenging. Using functional cortical connectivity, we demonstrate that interhemispheric cortical connectivity is decreased in individuals with acute Zika virus (ZIKV) encephalitis. This correlates with decreased presynaptic terminals in the somatosensory cortex. During recovery from ZIKV infection, presynaptic terminals recover, which is associated with recovered interhemispheric connectivity. This supports the contribution of synapses in the cortex to functional networks in the brain, which can be detected by widefield optical imaging. Although myeloid cell and astrocyte numbers are still increased during recovery, RNA transcription of multiple proinflammatory cytokines that increase during acute …

Schistosomiasis Interventions In Africa: Assessment And Systematic Review, Christopher Yaw Dumevi, George Boateng Kyei, Patience B Tetteh-Quarcoo, James-Paul Kretchy, Irene Ayi, Patrick F Ayeh-Kumi

2020-Current year OA Pubs

No abstract provided.

Qualitative And Quantitative Analysis Of A Novel Dental Health Education Program To Improve Dental Care Utilization By Bhutanese-, Burmese-, And Swahili-Speaking Refugees In A Midwestern United States City, Chandra Swanson, Katherine Gordon, Kelly Kreisler, Elizabeth Montgomery Collins

2020-Current year OA Pubs

No abstract provided.