Computer Engineering Commons^™

Ggnb: Graph-Based Gaussian Naive Bayes Intrusion Detection System For Can Bus, Riadul Islam, Maloy K. Devnath, Manar D. Samad, Syed Md Jaffrey Al Kadry

Computer Science Faculty Research

The national highway traffic safety administration (NHTSA) identified cybersecurity of the automobile systems are more critical than the security of other information systems. Researchers already demonstrated remote attacks on critical vehicular electronic control units (ECUs) using controller area network (CAN). Besides, existing intrusion detection systems (IDSs) often propose to tackle a specific type of attack, which may leave a system vulnerable to numerous other types of attacks. A generalizable IDS that can identify a wide range of attacks within the shortest possible time has more practical value than attack-specific IDSs, which is not a trivial task to accomplish. In this …

Ransomware Education: Availability, Accessibility, And Ease Of Use, Judson Gager, Judson Gager

Honors College Theses

With cybersecurity constantly in the media outlets with breaches, cybercrime, and cyberwarfare, it has become a significant concern for all. One of the most recent breaches in the summer of 2021 was the Colonial Pipeline breach, which has proven the country's reliance on these industrial control systems and networking. The systems were taken for ransom by a new type of ransomware written in a different programming language. Although the Colonial Pipeline breach was quickly addressed, the impact of the gas shortage and the response time were alarming at triaging the breach. However, this attack showed the public how dangerous ransomware …

The Factors Influencing The Acceptance Of Web-Based E-Learning System Among Academic Staffs Of Saudi Arabia, Ikhlas Zamzami

Future Computing and Informatics Journal

It is possible to learn more quickly and effectively with e-learning software development because it provides learners with convenient and flexible learning environments. This allows them to progress further in their careers. Reports on web-based e-learning systems for in-service education have frequently neglected to include the viewpoint of the instructor. In order to conduct quantitative research, a sample of 50 academic staff members was selected. The purpose of this study was to investigate various factors that influence the intention to use web-based e-learning, with the theoretical foundation being provided by university lecturers. According to the findings of the study, the …

Joint Latency-Energy Optimization Scheme For Offloading In Mobile Edge Computing Environment Based In Deep Reinforcement Learning, Jui Mhatre

Symposium of Student Scholars

With the increasing number of mobile devices (MD), IoT devices, and computation-intensive tasks deployed on these devices, there is a need to increase the efficiency and speed of the deliverable. Due to inadequate resources, it is infeasible to compute all the tasks locally. Similarly, due to time constraints, it is not possible to compute the entire task at a remote site. Edge computing (EC) and cloud computing (CC) play the role of providing the resources to these devices on the fly. But a major drawback is increased delay and energy consumption due to transmission and offloading of computation tasks to …

Virtual Reality As Pedagogical Tool To Enhance Experiential Learning: A Systematic Literature Review, Muhammad Mujtaba Asad, Aisha Naz Ansari, Prathamesh Churi, Mohammad Mehdi Tahanzadeh

Institute for Educational Development, Karachi

Since half of the century, technology has dominated the modern era. The rapid advancement of technology has reached generating artificial intelligence and artificial realities. So, virtual reality is an emerging technology and is applicable in education as well. Virtual reality is a computer-generated simulation, where people can interact within an artificial environment. Moreover, in an educational setting, such an environment provides students with a chance to get experiential learning. This paper has a systematic literature review on emerging technologies, such as virtual reality as a pedagogical tool for enhancing students’ experiential learning. This review aims to explore and understand the …

Disaster Recovery System And Service Continuity Of Digital Library, Sivankalai S, Virumandi A, Sivasekaran K, Sharmila M

Library Philosophy and Practice (e-journal)

This paper will discuss catastrophe recovery and likelihood development for digital library structures. The article establishes a foundation for establishing Library continuity and disaster recovery strategies through the use of best practices. Library continuity development and catastrophe recovery are critical modules of the planning stage for a virtual digital library. Few institutions that experience a catastrophic disaster occurrence are powerless to recover always, but libraries can suggestively boost the possibility of long-term recovery of institutional digital resources by drafting a continuity and recovery strategy in preparation. This article is intended for system designers and administrators, as well as high-ranking library …

Don't Bite The Bait: Phishing Attack For Internet Banking (E-Banking), Ilker Kara

Journal of Digital Forensics, Security and Law

Phishing attacks are based on obtaining desired information from users quickly and easily with the help of misdirecting, panicking, curiosity, or excitement. Most of the phishing web sites are designed on internet banking(e-banking) and the attackers can acquire financial information of misled users with the tactics and discourses they develop. Despite the increase of prevention techniques against phishing attacks day by day, an effective solution could not be found for this issue due to the human factor. Because of this reason, real phishing attack studies are essential to study and analyze the attackers’ attack techniques and strategies. This study focused …

Intelligent Internet Of Things Frameworks For Smart City Safety, Dimitrios Sikeridis

Electrical and Computer Engineering ETDs

The emerging Smart City ecosystem consists of a vast edge network of Internet of Things (IoT) devices that continuously interact with mobile devices carried by its citizens. In this setting, the IoT infrastructure, apart from the main communications facilitator, acts as a crowdsourcing mechanism that collects massive amounts of user data, and can support public safety applications for the Smart City. In this thesis, we design and analyze learning mechanisms that extract intelligence from crowd interactions with the wireless IoT infrastructure, and optimize its energy efficiency while operating as a public safety network. First, we deploy a multi-story facility testbed …

Protection Of Patient Privacy On Mobile Device Machine Learning, Matthew Nguyen

Cybersecurity Undergraduate Research Showcase

An existing StudentLife Study mobile dataset was evaluated and organized to be applied to different machine learning methods. Different variables like user activity, exercise, sleep, study space, social, and stress levels are optimized to train a model that could predict user stress level. The different machine learning methods would test if both patient data privacy and training efficiency can be ensured.

Crest Or Trough? How Research Libraries Used Emerging Technologies To Survive The Pandemic, So Far, Scout Calvert

University of Nebraska-Lincoln Libraries: Faculty Publications

Introduction

In the first months of the COVID-19 pandemic, it was impossible to tell if we were at the crest of a wave of new transmissions, or a trough of a much larger wave, still yet to peak. As of this writing, as colleges and universities prepare for mostly in-person fall 2021 semesters, case counts in the United States are increasing again after a decline that coincided with easier access to the COVID vaccine. Plans for a return to campus made with confidence this spring may be in doubt, as we climb the curve of what is already the second …

Effects Of Cloud Computing In The Workforce, Kevin Rossi Acosta

Cybersecurity Undergraduate Research Showcase

In recent years, the incorporation of cloud computing and cloud services has increased in many different types of organizations and companies. This paper will focus on the philosophical, economical, and political factors that cloud computing and cloud services have in the workforce and different organizations. Based on various scholarly articles and resources it was observed that organizations used cloud computing and cloud services to increase their overall productivity as well as decrease the overall cost of their operations, as well as the different policies that were created by lawmakers to control the realm of cloud computing. The results of this …

Shifting Satellite Control Paradigms: Operational Cybersecurity In The Age Of Megaconstellations, Carl A. Poole, Robert A. Bettinger, Mark Reith

Faculty Publications

The introduction of automated satellite control systems into a space-mission environment historically dominated by human-in-the-loop operations will require a more focused understanding of cybersecurity measures to ensure space system safety and security. On the ground-segment side of satellite control, the debut of privately owned communication antennas for rent and a move to cloud-based operations or mission centers will bring new requirements for cyber protection for both Department of Defense and commercial satellite operations alike. It is no longer a matter of whether automation will be introduced to satellite operations, but how quickly satellite operators can adapt to the onset of …

Adopting A Risk-Intelligent Approach To Digital Transformation: Four Traits Of Digitally Mature Organisations, Clarence Goh, Gary Pan, Poh Sun Seow, Yuanto Kusnadi, Seah Gek Choo, Cheryl Lim

Research Collection School Of Accountancy

Our objective is to understand how digitally mature organisations are managing the GRC aspects of their digital transformation programmes, and identify any traits or behaviours that could inform the development of best practices.

Incorporating Virtual Reality Training In An Introductory Public Speaking Course, Kevin Kryston, Henry Goble, Allison Eden

Journal of Communication Pedagogy

This study presents the results of two studies using a virtual reality (VR) public-speaking training simulation as an instructional aid in a basic communication course. Results from the first study suggest that VR practice was associated with higher subsequent speech delivery grades in the course compared to no practice. However, VR practice did not reduce public speaking anxiety (PSA). In a follow-up study, VR practice was compared with other forms of lab-based practice including in front of a mirror and a recorded video session. All forms of lab practice (VR, mirror, or video) were associated with higher speech grades than …

Human-Robot Teaming Configurations: A Study Of Interpersonal Communication Perceptions And Affective Learning In Higher Education, Bryan Abendschein, Chad Edwards, Autumn P. Edwards, Varun Rijhwani, Jasmine Stahl

Journal of Communication Pedagogy

Technology encourages collaboration in creative ways in the classroom. Specifically, social robots may offer new opportunities for greater innovation in teaching. In this study, we combined the established literature on co-teaching teams with the developing field of machine actors used in education to investigate the impressions students had of different team configurations that included both a human and a robot. Participants saw one of three teams composed of a human and a social robot with different responsibilities present a short, prerecorded lecture (i.e., human as lead teacher-robot as teaching assistant, robot as lead teacher-human as teaching assistant, human and robot …

A New Era Of Education: Incorporating Machine Teachers Into Education, Jihyun Kim

Journal of Communication Pedagogy

This editorial briefly discusses the potential of machine agents in education that can assist in creating more positive and meaningful teaching and learning environments. Then, it introduces three articles, two empirical research studies and one research-based instructional activity, compromising a special section on “Machine Teachers in Education” of Journal of Communication Pedagogy. Collectively, these articles help us better understand the role of machines in education and facilitate intellectual dialogues.

Human-Machine Communication: Complete Volume. Volume 3. Diffusion Of Human-Machine Communication During And After The Covid-19 Pandemic

Human-Machine Communication

This is the complete volume of HMC Volume 3. Diffusion of Human-Machine Communication During and After the COVID-19 Pandemic

The Impact Of Cloud Computing On Academic Libraries, Sivankalai S

Library Philosophy and Practice (e-journal)

With the introduction of computers and other forms of communication technology, library services have undergone a significant transformation. Libraries have been automated, networked, and are currently being converted into virtual or paperless libraries. This article is dedicated to many aspects of cloud computing, including different kinds and applications. There is a discussion about the advantages and drawbacks of cloud computing in academic libraries. The article also includes recommendations for professional librarians and academic libraries across the globe on how to take advantage of cloud computing resources. This article may be of use in the development of cloud-based services for university …

Evaluating Testing Procedures For Openflow Controller Network Re-Provisioning Time, Steven J. Jensen

Theses and Dissertations

Software-Defined Networking promises several advantages over traditional networking architectures, but has seen little adoption. Recently codified controller evaluation methodologies have seen little validation without strong statistical analysis of the results. The research developed an environment testing implementing a published Network Re-provisioning Time methodology to evaluate five OpenFlow controllers. The methodology is strong with required parameters but had issues with some edge cases. Further refinement and adding a convergence metric may close the gaps.

Rollover V2x Soft Antenna For Vehicular Safety, Jiwoo Park, Devansh Singh

Symposium of Student Scholars

Vehicle-2-Everything (V2X) technology can make roads safer by allowing vehicles to communicate with each other. The goal of V2X is to reduce accidents where there is not a line-of-sight of the other vehicle, such as at intersections, in harsh driving conditions, and around curves. Considering that the antenna for V2X will be mounted on the roof, how then should a turned over vehicle communicate reliably with other vehicles if another antenna doesn't also exist on the bottom of the vehicle? We explore using soft-robotics for deploying a spare antenna from under the vehicle. Experiments show that when the antenna is …

Securing Global Positioning Systems In A Blockchain Using Vehicle-To-Everything Communications, Malik Purefoy

Symposium of Student Scholars

Intelligent transportation systems (ITS) are being deployed globally to support vehicular safety innovation using wireless communication. The ITS paradigm of vehicle-to-everything communication (V2X) enables vehicles equipped with an on-board unit (OBU) to communicate with a roadside unit (RSU) infrastructure to provide safe intersection movements between similarly equipped vehicles, pedestrians, and animal life. However, the current paradigm relies heavily on the availability of a Global Positioning System (GPS) for ensuring road user safety. In a doomsday scenario where GPS becomes unavailable, collision avoidance services provided through V2X may be rendered unavailable. The proposed solution is to develop a secure and reliable …

Design And Test Of Novel Vehicle-To-Everything Packet For Sensor Arrays In Under Roadway Deployment, Marquis Brown

Symposium of Student Scholars

Title: Design and Test of Novel Vehicle-to-Everything Packet for Sensor Arrays in Under Roadway Deployment

Poster Presentation Undergraduate Student(s): Hakeem Wilson, Marquis Brown Research Mentor(s): Dr. Billy Kihei

Vehicle-to-Everything (V2X) communications is a burgeoning technology that will enable safer, greener, and more productive usage of roadways. In the V2X paradigm, all equipped vehicles and infrastructure can communicate with each other in real-time. By utilizing V2X communications as an Internet-of-Things gateway, a sensor array installed under roadways, allows real-time monitoring of road conditions which increases overall road safety and road maintenance cost. In our research, we have utilized the WAVE Short …

Detecting Primitive Jamming Attacks Using Machine Learning In Vehicle-To-Everything Networks​, Hakeem Wilson

Symposium of Student Scholars

Vehicle-to-Everything communications (V2X) is gaining additional ground as an upcoming ad hoc safety network. In V2X, basic safety messages are used for exchanging critical information between vehicles at a set broadcast rate. However, jamming attacks on the safety spectrum could deny V2X radios the ability to save lives on the roadway. This preliminary work analyzes two types of primitive jamming attacks performed on target V2X devices. Lab results reveal that V2X networks are easily susceptible to jamming attacks, due to all V2X standards lacking a requirement to detect/mitigate jamming. To avert this threat and promote safety of life on the …

Long Distance Li-Fi, Adeyemi Fagbemi

Symposium of Student Scholars

Wi-Fi has been in existence since 1998 providing an increase in the amount of data transmitted and generated by machines. With the growing market demand for network bandwidth, it will make it nearly impossible for typical radio frequency (RF) technologies like Wi-Fi to supply the resources needed for the data transmission. As a complementary solution, Li-Fi was introduced in 2011 as a method of data transfer through the use light of light sources. Li-Fi employs the use of visible light spectrum which has 1000 more times the bandwidth of typical RF spectrums. This study investigates the distance to which this …

Online Grocery Shopping: A Staple Of The Present -- And Maybe The Future?, Henry B. Chao

altREU Projects

This project aims to understand how the COVID-19 pandemic has affected people's food shopping tendencies, specifically focusing on the use of online grocers. It uses data collected by a team of researchers led out of Portland State University. This data consists of roughly 8000 surveys distributed starting in September of 2020. The survey asks respondents to discuss their demographics, household resources, and shopping tendencies.

In particular, this project wants to understand how inclined a respondent is to use online grocers based on their personal experience with COVID-19. To do this, the project uses a Latent Class Model (LCM) to classify …

Internet Of Things Security Case Studies And Internet Of Things Core Service Comparions, Jaseong Koo

Electronic Theses, Projects, and Dissertations

This culminating project conducted an analysis of IoT security breach case studies. The analysis identified numerous vulnerable points: software failure, node tampering attack, eavesdropping, code injection, unauthorized access, social engineering attack, hardware exploitation, and node insertion. It therefor seems that even with the proper tests conducted on vulnerabilities to discover solutions, regular end users are unable to apply patches or other technical solutions to protect themselves. This project solely focuses on analyzing of comprehensive IoT security services that come with devices connected to home network. The devices are those provided by the big three: Amazon, Google, and Microsoft, on the …

Estimating Homophily In Social Networks Using Dyadic Predictions, George Berry, Antonio Sirianni, Ingmar Weber, Jisun An, Michael Macy

Research Collection School Of Computing and Information Systems

Predictions of node categories are commonly used to estimate homophily and other relational properties in networks. However, little is known about the validity of using predictions for this task. We show that estimating homophily in a network is a problem of predicting categories of dyads (edges) in the graph. Homophily estimates are unbiased when predictions of dyad categories are unbiased. Node-level prediction models, such as the use of names to classify ethnicity or gender, do not generally produce unbiased predictions of dyad categories and therefore produce biased homophily estimates. Bias comes from three sources: sampling bias, correlation between model errors …

Review Of Data Mining Techniques For Detecting Churners In The Telecommunication Industry, Mahmoud Ewieda, Mohamed Ismail Roushdy, Essam Shaaban

Future Computing and Informatics Journal

The telecommunication sector has been developed rapidly and with large amounts of data obtained as a result of increasing in the number of subscribers, modern techniques, data-based applications, and services. As well as better awareness of customer requirements and excellent quality that meets their satisfaction. This satisfaction raises rivalry between firms to maintain the quality of their services and upgrade them. These data can be helpfully extracted for analysis and used for predicting churners. Researchers around the world have conducted important research to understand the uses of Data mining (DM) that can be used to predict customers' churn. This …

Signal Processing And Data Analysis For Real-Time Intermodal Freight Classification Through A Multimodal Sensor System., Enrique J. Sanchez Headley

Graduate Theses and Dissertations

Identifying freight patterns in transit is a common need among commercial and municipal entities. For example, the allocation of resources among Departments of Transportation is often predicated on an understanding of freight patterns along major highways. There exist multiple sensor systems to detect and count vehicles at areas of interest. Many of these sensors are limited in their ability to detect more specific features of vehicles in traffic or are unable to perform well in adverse weather conditions. Despite this limitation, to date there is little comparative analysis among Laser Imaging and Detection and Ranging (LIDAR) sensors for freight detection …

Privacy-Preserving Cloud-Assisted Data Analytics, Wei Bao

Graduate Theses and Dissertations

Nowadays industries are collecting a massive and exponentially growing amount of data that can be utilized to extract useful insights for improving various aspects of our life. Data analytics (e.g., via the use of machine learning) has been extensively applied to make important decisions in various real world applications. However, it is challenging for resource-limited clients to analyze their data in an efficient way when its scale is large. Additionally, the data resources are increasingly distributed among different owners. Nonetheless, users' data may contain private information that needs to be protected.

Cloud computing has become more and more popular in …