Computer Science Masters Papers: Recent submissions
Now showing items 41-60 of 256
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Positioning of Relay Stations in Wireless Sensor Networks
(North Dakota State University, 2011)A sensor is a device which can detect or measure a physical property and which records, indicates, or otherwise responds to the signal received. A wireless sensor in a network can communicate with the sensors located within ... -
Analysis of Security Vulnerabilities in Web Applications using Threat Modeling
(North Dakota State University, 2011)Software security issues have been a major concern to the cyberspace community; therefore, a great deal of research on security testing has been performed, and various security testing techniques have been developed. A ... -
Novel Techniques Using Graph Neural Networks (GNNS) for Anomaly Detection
(North Dakota State University, 2023)This paper explores 2 new mechanisms that leverage graphs for anomaly detection. The novelty in approach one is to leverage the global attention capability of transformer architecture using a Graph Attention Network (GAT) ... -
Chatting with Confidence: A Review on the Impact of User Interface, Trust, and User Experience in Chatbots, and a Proposal of a Redesigned Prototype
(North Dakota State University, 2023)As artificial intelligence (AI) becomes more prevalent in our daily lives, trust has become a critical issue in ensuring that AI systems are reliable, ethical, and beneficial to society. This paper explores the role of ... -
A Mobile Game for Learning Cyber-Attacks and Their Prevention
(North Dakota State University, 2023)This paper's primary goal is to use Bloom's Revised Taxonomy educational objectives in creating Cyber Air-Attack. It's a game that teaches fundamental concepts about cybersecurity. Because it simplifies and makes learning ... -
Enhancing Restaurant Dining Experience: Design and Evaluation of a Mobile App for Personalized Menu Item Selection in Restaurants
(North Dakota State University, 2023)Picking the right food item from a restaurant menu can be challenging for people, specially for those who are unfamiliar with local cuisine and those with specific dietary requirements. Existing menus often lack essential ... -
Analysis of Image Classification Deep Learning Algorithm
(North Dakota State University, 2023)This study explores the use of TensorFlow 2 and Python for image classification problems. Image categorization is an important area in computer vision, with several real-world applications such as object identification/r ... -
CHAPS Online
(North Dakota State University, 2022)This paper explores the application development phases of the online version of Cow Herd Appraisal Performance Software (CHAPS). Beef producers and Extension professionals have been using CHAPS since 1985 as a herd management ... -
Zero-Trust Architecture and Its Cost-Effectiveness on Network Security
(North Dakota State University, 2022)Zero-Trust Architecture (ZTA) is a ‘Never Trust, Always Verify’ concept to improve cybersecurity by eliminating trust and validating network requests continuously. ZTA replaces Virtual Private Networks (VPNs) and provides ... -
Evaluating the Effectiveness of Music Recommendations Using Cosine Similarities of Various Combined Feature Sets Consisting of Metadata and User Generated Tags
(North Dakota State University, 2022)This paper aims to compare and evaluate the methods for recommending songs using metadata, user generated tags, metadata and tags, and metadata and top five tags. Recommendations are calculated using cosine similarities ... -
Comparison of Non-Learned and Learned Molecule Representations for Catalyst Discovery
(North Dakota State University, 2022)Catalyst discovery is one very important task in storing renewable energy to address climate change and energy scarcity globally. Catalyst candidates can be represented by molecular descriptors and also can be modeled by ... -
Analyzing Three Different Tuning Strategies for Random Forest Hyperparameters for Fraud Detection
(North Dakota State University, 2021)Technology is advancing rapidly, and more tasks are becoming online than ever. Along with the benefits comes the disadvantages of this great advancement. While online services relieve from the struggle of in person activities, ... -
Comparison of Global and Local Particle Swarm Optimization
(North Dakota State University, 2021)Particle swarm optimization is a computational algorithm used to optimize a solution through sequential processing of particles using a specified estimation of quality. The algorithm is inspired by biological systems such ... -
Comparison Analysis of Classification Algorithms for Intrusion Detection
(North Dakota State University, 2021)As the Internet of Things becomes more prevalent in our lives, we are confronted with more security concerns. Network attacks have become more common in the cyber world these days. Denial of service, Prove, Remote to Local ... -
Covid-19 Face Cover Tracker Using Amazon Web Services
(North Dakota State University, 2021)Numerous studies have shown that wearing face covers and following other social distancing guidelines reduce community transmission of air borne diseases like COVID-19 during a pandemic. While public health administrators ... -
Investigating Super Learner on Healthcare Data Sets
(North Dakota State University, 2021)In the field of machine learning, classification is the essential task that predicts the target class or label for each sample in the data. Improving the performance of a classification model has been a challenging research ... -
Threat Identification from Access Logs Using Elastic Stack
(North Dakota State University, 2020)Access log management is an essential part of cybersecurity. Lack of insight into user authentication patterns can hinder readiness and reaction to the growing threat of cyberattacks. Central Authentication Service (CAS) ... -
A Comparative Study on Different Big Data Tools
(North Dakota State University, 2020)Big data has long been the topic of fascination for computer science enthusiasts around the world, and has gained even more prominence in recent times with the continuous explosion of data resulting from the likes of social ... -
Prediction Accuracy of Financial Data - Applying Several Resampling Techniques
(North Dakota State University, 2020)With the help of Data Mining and Machine Learning, prediction has been a very popular and demanding instrument to plan and accomplish a future goal. The financial sector is one of the crucial sectors of present human ... -
Feature Engineering on the Cybersecurity Dataset for Deployment on Software Defined Network
(North Dakota State University, 2020)These days, due to dependency on the fast-moving world's modern technology, the increasing use of smart devices and the internet affect network traffic. Many intrusion detection studies concentrate on feature selection or ...