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Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning (open access)

Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning

Article describes how distributed-denial-of-service (DDoS) attacks can cause a great menace to numerous organizations and their stakeholders. The authors assert that the objective of this research work is to take into account a DDoS afflicted SDN specific dataset and detect the malicious traffic by using various machine learning algorithms namely., K-Nearest Neighbours, Logistic Regression, Multilayer Perceptron, Iterative Dichotomiser 3, and Stochastic Gradient Descent.
Date: January 10, 2022
Creator: Prasad, Ashwani; Prasad, Sanjana; Arockiasamy, Karmel; P, Karthika & Yuan, Xiaohui
Object Type: Article
System: The UNT Digital Library
Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model (open access)

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model

This article presents a study detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.
Date: January 18, 2022
Creator: Lee, Ernesto; Rustam, Furqan; Washington, Patrick Bernard; El Barakaz, Fatima; Aljedaani, Wajdi & Ashraf, Imran
Object Type: Article
System: The UNT Digital Library
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model (open access)

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Date: January 19, 2022
Creator: Rupapara, Vaibhav; Rustam, Furqan; Aljedaani, Wajdi; Shahzad, Hina Fatima; Lee, Ernesto & Ashraf, Imran
Object Type: Article
System: The UNT Digital Library
COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset (open access)

COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset

Article is a study analyzing the global perceptions and perspectives towards COVID-19 vaccination using a worldwide Twitter dataset, natural language processing, and machine learning.
Date: December 20, 2021
Creator: Reshi, Aijaz Ahmad; Rustam, Furqan; Aljedaani, Wajdi; Shafi, Shabana; Alhossan, Abdulaziz; Alrabiah, Ziyad et al.
Object Type: Article
System: The UNT Digital Library
REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates (open access)

REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates

Data management plan for the grant, "REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates." TaMaLe (Testing and Machine Learning for Context-Driven Systems), a renewal Research Experience for Undergraduates (REU) Site at University of North Texas, engages 10 undergraduate students for 10 weeks with problems in the context-driven system domain. The students explore research problems to improve the reliability and security of context-driven systems. Context-driven systems, such as mobile apps, face constant streams of input from both users and context changes in their environments. Users interact with apps through touch and speech interfaces. These systems also respond to context events that occur in their environments such as changes to network connection, battery level, screen orientation, and more. The combined explosion of possible user events and context event sequences pose new challenges that require cost effective testing solutions. Students and mentors in this REU program work in small teams to develop and empirically evaluate new software testing techniques for context-driven systems using strategies such as reinforcement learning and combinatorial-based techniques.
Date: 2022-03-01/2025-02-28
Creator: Bryce, Renee & Tunc, Cihan
Object Type: Text
System: The UNT Digital Library
Computing microRNA-gene interaction networks in pan-cancer using miRDriver (open access)

Computing microRNA-gene interaction networks in pan-cancer using miRDriver

This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.
Date: March 8, 2022
Creator: Bose, Banabithi; Moravec, Matthew & Bozdag, Serdar
Object Type: Article
System: The UNT Digital Library
Detecting Covid-19 chaos driven phishing/malicious URL attacks by a fuzzy logic and data mining based intelligence system (open access)

Detecting Covid-19 chaos driven phishing/malicious URL attacks by a fuzzy logic and data mining based intelligence system

Article analyses the impact of Covid-19 on various cyber-security related aspects.
Date: June 7, 2022
Creator: Zahra, Syed Rameem; Chishti, Mohammad Ahsan; Baba, Asif Iqbal & Wu, Fan
Object Type: Article
System: The UNT Digital Library
UNT Gencyber Academy (open access)

UNT Gencyber Academy

Data management plan for the grant, "UNT Gencyber Academy."
Date: 2022-06-15/2024-06-14
Creator: Fu, Song
Object Type: Text
System: The UNT Digital Library
PharmaChain: A blockchain to ensure counterfeit‐free pharmaceutical supply chain (open access)

PharmaChain: A blockchain to ensure counterfeit‐free pharmaceutical supply chain

Article discusses how globalisation has facilitated different industries to eliminate geographical boundaries and equipped organisations to work collectively to produce goods. The authors of the article propose a novel Distributed Ledger Technology (DLT) based transparent supply chain for PSC and proof-of-concept is implemented to analyse the scalability and efficiency of the proposed architecture.
Date: July 5, 2022
Creator: Bapatla, Anand K.; Mohanty, Saraju P.; Kougianos, Elias; Putha, Deepak & Bapatla, Anusha
Object Type: Article
System: The UNT Digital Library
GEOS Visualization And Lagrangian dynamics Immersive eXtended Reality Tool (VALIXR) for Scientific Discovery (open access)

GEOS Visualization And Lagrangian dynamics Immersive eXtended Reality Tool (VALIXR) for Scientific Discovery

Data management plan for the grant, "GEOS Visualization And Lagrangian dynamics Immersive eXtended Reality Tool (VALIXR) for Scientific Discovery."
Date: 2022-07-12/2024-07-11
Creator: West, Ruth
Object Type: Text
System: The UNT Digital Library
A Gaze into the Internal Logic of Graph Neural Networks, with Logic (open access)

A Gaze into the Internal Logic of Graph Neural Networks, with Logic

Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.
Date: August 4, 2022
Creator: Tarau, Paul
Object Type: Article
System: The UNT Digital Library
A Parallel Convolution and Decision Fusion-Based Flower Classification Method (open access)

A Parallel Convolution and Decision Fusion-Based Flower Classification Method

This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.
Date: August 4, 2022
Creator: Jia, Lianyin; Zhai, Hongsong; Yuan, Xiaohui; Jiang, Ying & Ding, Jiaman
Object Type: Article
System: The UNT Digital Library
GenCyber Teachers Camp (open access)

GenCyber Teachers Camp

Data management plan for the grant, "GenCyber Teachers Camp." The goal of the UNT GenCyber Teacher Camp is to increase the cybersecurity expertise of middle and high school Computer Science teachers so that they can introduce cybersecurity curriculum into their classrooms. We will recruit 20 teachers who teach Computer Science and STEM-related middle/high school courses. We will create modules that teachers can use to create positive environments for students and thus to motivate them to gain interest in cybersecurity.
Date: 2022-08-05/2024-08-05
Creator: Do, Hyunsook & Bryce, Renee
Object Type: Text
System: The UNT Digital Library
Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends (open access)

Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends

Article states that vaccines, though reliable preventative measures for diseases, also raise public concerns; public apprehension and doubts challenge the acceptance of new vaccines including the COVID-19 vaccines. This study is the first attempt to review the role of AI approaches in COVID-19 vaccination-related sentiment analysis.
Date: September 5, 2022
Creator: Aljedaani, Wajdi; Saad, Eysha; Rustam, Furqan; de la Torre Díez, Isabel & Ashraf, Imran
Object Type: Article
System: The UNT Digital Library
Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features (open access)

Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features

Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.
Date: September 9, 2022
Creator: Daghriri, Talal; Rustam, Furqan; Aljedaani, Wajdi; Bashiri, Abdullateef H. & Ashraf, Imran
Object Type: Article
System: The UNT Digital Library
Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation (open access)

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
Date: October 18, 2022
Creator: Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun & Albert, Mark
Object Type: Article
System: The UNT Digital Library
agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers (open access)

agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers

Article discusses the large quantities of farm and meat products that rot and are wasted if correct actions are not taken leading to serious health concerns if consumed. Because there is no proper system for tracking and communicating the status of goods to consumers, a right which according to the authors should be a given, they propose a method of increased communication using Corda private blockchain.
Date: October 27, 2022
Creator: Vangipuram, Sukrutha L. T.; Mohanty, Saraju P.; Kougianos, Elias & Ray, Chittaranjan
Object Type: Article
System: The UNT Digital Library
Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing (open access)

Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing

Article discusses how with the wider adoption of edge computing services, intelligent edge devices, and high-speed V2X communication, compute-intensive tasks for autonomous vehicles, such as object detection using camera, LiDAR, and/or radar data, can be partially offloaded to road-side edge servers. The authors aim to address the privacy problem by protecting both vehicles' sensor data and the detection results.
Date: October 31, 2022
Creator: Bai, Tianyu; Fu, Song & Yang, Qing
Object Type: Article
System: The UNT Digital Library
Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure (open access)

Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure

Data management plan for the grant, "Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure." This project aims to develop a novel set of interactive training materials, including hands-on lecture modules, invited research talks from renowned researchers, and an interdisciplinary collaborative project in an intensive workshop, integrating a wide variety of advanced and inter-connected techniques employed by research workforce for deep learning (DL) systems in advanced GPU cyberinfrastructure (CI). Specifically, this project focuses on training seniors, graduate students, and researchers on how advanced GPU CI can be efficiently utilized and improved to enable high-performance DL systems for data-intensive DL applications in geoscience (GS) and computer science and engineering (CSE) research. The goal is to foster future CI users and contributors to adopt, develop, and improve advanced GPU CI for DL systems in their research.
Date: 2022-12-01/2024-11-30
Creator: Shu, Tong
Object Type: Text
System: The UNT Digital Library
OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans (open access)

OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans

Article asserts that the foot is a vital organ, as it stabilizes the impact forces between the human skeletal system and the ground. The authors present an instep girth measurement algorithm, and they used a pixel per metric algorithm for measurement; these algorithms were accordingly integrated with the application.
Date: December 6, 2022
Creator: Rafiq, Riyad Bin; Hoque, Kazi Miftahul; Kabir, Muhammad Ashad; Ahmed, Sayed & Laird, Craig
Object Type: Article
System: The UNT Digital Library