Digital Commons Network^™

Lightweight Pairwise Key Distribution Scheme For Iots, Kanwalinderjit Kaur

Journal of Cybersecurity Education, Research and Practice

Embedding a pairwise key distribution approach in IoT systems is challenging as IoT devices have limited resources, such as memory, processing power, and battery life. This paper presents a secure and lightweight approach that is applied to IoT devices that are divided into Voronoi clusters. This proposed algorithm comprises XOR and concatenation operations for interactive authentication between the server and the IoT devices. Predominantly, the authentication is carried out by the server. It is observed that the algorithm is resilient against man-in-the-middle attacks, forward secrecy, Denial of Service (DoS) attacks, and offers mutual authentication. It is also observed that the …

Reinventing Cybersecurity Internships During The Covid-19 Pandemic, Lori L. Sussman

Journal of Cybersecurity Education, Research and Practice

The Cybersecurity Ambassador Program provides professional skills training for emerging cybersecurity professionals remotely. The goal is to reach out to underrepresented populations who may use Federal Work-Study (FWS) or grant sponsored internships to participate. Cybersecurity Ambassadors (CAs) develop skills that will serve them well as cybersecurity workers prepared to do research, lead multidisciplinary, technical teams, and educate stakeholders and community members. CAP also reinforces leadership skills so that the next generation of cybersecurity professionals becomes a sustainable source of management talent for the program and profession. The remote curriculum innovatively builds non-technical professional skills (communications, teamwork, leadership) for cybersecurity research …

Risk Perceptions About Personal Internet-Of-Things: Research Directions From A Multi-Panel Delphi Study, Paul M. Di Gangi, Barbara A. Wech, Jennifer D. Hamrick, James L. Worrell, Samuel H. Goh

Journal of Cybersecurity Education, Research and Practice

Internet-of-Things (IoT) research has primarily focused on identifying IoT devices' organizational risks with little attention to consumer perceptions about IoT device risks. The purpose of this study is to understand consumer risk perceptions for personal IoT devices and translate these perceptions into guidance for future research directions. We conduct a sequential, mixed-methods study using multi-panel Delphi and thematic analysis techniques to understand consumer risk perceptions. The results identify four themes focused on data exposure and user experiences within IoT devices. Our thematic analysis also identified several emerging risks associated with the evolution of IoT device functionality and its potential positioning …

Cybersecurity Continuity Risks: Lessons Learned From The Covid-19 Pandemic, Tyler Fezzey, John H. Batchelor, Gerald F. Burch, Randall Reid

Journal of Cybersecurity Education, Research and Practice

The scope and breadth of the COVID-19 pandemic were unprecedented. This is especially true for business continuity and the related area of cybersecurity. Historically, business continuity and cybersecurity are viewed and researched as separate fields. This paper synthesizes the two disciplines as one, thus pointing out the need to address both topics simultaneously. This study identifies blind spots experienced by businesses as they navigated through the difficult time of the pandemic by using data collected during the height of the COVID-19 pandemic. One major shortcoming was that most continuity and cybersecurity plans focused on single-axis threats. The COVID-19 pandemic resulted …

Alpha Phi-Shing Fraternity: Phishing Assessment In A Higher Education Institution, Marco Casagrande, Mauro Conti, Monica Fedeli, Eleonora Losiouk

Journal of Cybersecurity Education, Research and Practice

Phishing is a common social engineering attack aimed to steal personal information. Universities attract phishing attacks because: 1) they store employees and students sensitive data, 2) they save confidential documents, 3) their infrastructures often lack security. In this paper, we showcase a phishing assessment at the University of Redacted aimed to identify the people, and the features of such people, that are more susceptible to phishing attacks. We delivered phishing emails to 1.508 subjects in three separate batches, collecting a clickrate equal to 30%, 11% and 13%, respectively. We considered several features (i.e., age, gender, role, working/studying field, email template) …

Workforce Of The Future Begins With Aviation Stem, Lyndsay Digneo

National Training Aircraft Symposium (NTAS)

The United States has always been a world leader in aviation. This leadership position relies on the strength of the American STEM workforce and the quality of the nation’s educational, industrial, and government institutions. Therefore, it is imperative to nurture today’s students to become a well-trained STEM workforce in the future.

The Federal Aviation Administration (FAA) William J. Hughes Technical Center (WJHTC) recognizes that in pursuing its mission of aviation research, engineering, development, and test and evaluation, it is in a unique position to support aviation STEM activities for schools (K-12), post-secondary institutions, and community organizations. In 2016, the Technical …

Development Of A Safety Performance Decision-Making Tool For Flight Training Organizations, Marisa D. Aguiar Phd, Carolina L. Anderson Phd

National Training Aircraft Symposium (NTAS)

The purpose of the research was to create and validate a safety performance decision-making tool to transform a reactive safety model into a predictive, decision-making tool, specific to large, collegiate Title 14 of the Code of Federal Regulations (CFR) Part 141 flight training organizations, to increase safety and aid in operational decision-making. Using Monte Carlo simulation, the study conducted simulation runs based on true operational ranges to simulate the operating conditions possible within large, collegiate CFR Part 141 flight training organizations with varying levels of controllable resources in terms of personnel (Aviation Maintenance Technicians and Instructor Pilots) and expenditures (active …

A Bidirectional Deep Lstm Machine Learning Method For Flight Delay Modelling And Analysis, Desmond B. Bisandu, Irene Moulitsas

National Training Aircraft Symposium (NTAS)

Flight delays can be prevented by providing a reference point from an accurate prediction model because predicting flight delays is a problem with a specific space. Only a few algorithms consider predicted classes' mutual correlation during flight delay classification or prediction modelling tasks. None of these existing methods works for all scenarios. Therefore, the need to investigate the performance of more models in solving the problem of flight delay is vast and rapidly increasing. This paper presents the development and evaluation of LSTM and BiLSTM models by comparing them for a flight delay prediction. The LSTM does the feature extraction …

Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard, Paul Thomas, Eric Webb, Jon Martin, Austin Walden

National Training Aircraft Symposium (NTAS)

An increased availability of data and computing power has allowed organizations to apply machine learning techniques to various fleet monitoring activities. Additionally, our ability to acquire aircraft data has increased due to the miniaturization of small form factor computing machines. Aircraft data collection processes contain many data features in the form of multivariate time-series (continuous, discrete, categorical, etc.) which can be used to train machine learning models. Yet, three major challenges still face many flight organizations 1) integration and automation of data collection frameworks, 2) data cleanup and preparation, and 3) embedded machine learning framework. Data cleanup and preparation has …

Aircraft Energy Management: A Best Practice For Integrating Safety And Efficiency, Juan Merkt

National Training Aircraft Symposium (NTAS)

Aircraft Energy Management: A Best Practice for Integrating Safety and Efficiency

The airplane is the quintessential energy system, constantly transforming, transferring, distributing, storing, and exchanging various forms of energy as it moves through the air. By its very nature, flight warrants safe and efficient management of the airplane’s energy. Thus, poor aircraft energy management can lead to unsafe and/or inefficient operations. Unfortunately, energy principles associated with motion control and performance have not found their way into civilian flight training. As a result, energy management skills, founded on those guiding principles, are not adequately taught to new pilots. The energy-training gap …

National Development And The Sustainability Of Mining In The Atacama Desert, Chile, Dakota Soleil Osgood

Capstone Collection

As climate change continues to intensify on a global scale, efforts have been made to implement renewable energies and progressive technologies. These tools are critical in the shift towards a more sustainable practice, and yet analysis of localized impacts from the development of these mechanisms is inadequate. Chile has been and continues to be a leading country in mineral extraction, with an economic history founded in the mining industry. The establishment of mining in Chile as a progressive tool has aided the social and economic development of the nation. Consequences of mining extraction, however, include intensive environmental degradation, human rights …

Forecasting Quality Of Service (Qos) Parameters Of Iot Based Web Services With An Artificial Electric Field Algorithm Trained Artificial Neural Network, Stitapragyan Lenka, Sateesh Kumar Pradhan, Samaleswari Prasad Nayak, Sarat Chandra Nayak

Karbala International Journal of Modern Science

Development of an accurate forecasting model for effective prediction of Quality of Service (QoS) parameters of inter-net of things (IoT) based web services is highly desired, such that it improves service management and user experience. Mostly, QoS parameters are volatile in nature which make the IoT based service and recommendation process chal-lenging. Artificial neural network (ANN) based models are found to be worthy in modeling and forecasting nonlinear QoS parameter sequences. However, improper tuning of ANN parameters with conventional training algorithms may lead to a suboptimal model. Nature-inspired optimization methods are found suitable in fine tuning ANN parameters and have …

Antiproton Collisions With Excited Positronium, M. Charlton, H. B. Ambalampitiya, Ilya I. Fabrikant, I. Kalinkin, D. V. Fursa, A. S. Kadyrov, I. Bray

Department of Physics and Astronomy: Faculty Publications

We present results of calculations of several processes resulting from positronium (Ps) collisions with antiprotons: antihydrogen formation, Ps breakup, and n_Ps-changing collisions. Calculations utilize the quantum convergent close-coupling (CCC) method and the classical trajectory Monte Carlo (CTMC) method. We identify a region of Ps principal quantum numbers n_Ps and Ps energies where the classical description is valid and where the CCC calculations become computationally too expensive. This allows us to present the most complete and reliable set of cross sections in a broad range of n_Ps and initial orbital momentum quantum numbers lPs which are necessary …

January 19-20, 2023, Ohio University Board Of Trustees Meeting Minutes, Ohio University Board Of Trustees

Board of Trustees Meeting Minutes

Meeting minutes document the activities of Ohio University's Board of Trustees.

Paternal Origin Of Mongolic-Speaking Populations: A Review Of Studies From Recent Decades (1999–2019) And Their Implications For Multidisciplinary Research In The Future, Sharengaowa, Peng-Cheng Ma, Wen-Jiao Yang, Altangoo Ochirbat, Maxat Zhabagin, Na Sun, Yong-Mei Xie, Yong-Lan Li, Lan-Hai Wei

Human Biology Open Access Pre-Prints

The activities of Mongolic-speaking populations, a large group of people in eastern Eurasia, have important impact on the history of East Asia and other parts of Eurasia. Most previous genetic research of East Asian populations, including ancient DNA studies, have involved samples from Mongolic-speaking populations or their ancient relatives. Here, we summarized frequency data of paternal Y-chromosome haplogroups from all available literature about Mongolic-speaking populations from 1999 to 2019. Fourteen paternal components were identified and six of them were proposed as major and common components in ancestor groups of Mongolic-speaking populations. We thoroughly discussed the possible origin, migration patterns, and …

Essential Oils Composition And Biological Activity Of Chamaecyparis Obtusa, Chrysopogon Nigritanus And Lavandula Coronopifolia Grown Wild In Sudan, Loai M H Eltayeb, Sakina Yagi, Hanan M M Mohamed, Gokhan Zengin, Mohammad Ali Shariati, Maksim Rebezov, Abdullah Ibrahim Uba, Jose Manuel Lorenzo

College of Science & Mathematics Departmental Research

Generally, there are scant data about the constituents and eventually the biological activity of essential oils (EOs) from aromatic plants that grow naturally in Sudan. The present study aimed to determine the chemical composition, and antioxidant and enzyme inhibitory activities of EO extracted from the fruit of Chamaecyparis obtusa (Siebold and Zucc.) Endl. (family Cupressaceae), root of Chrysopogon nigritanus (Benth.) Veldkampis (family Poaceae) and aerial part of Lavandula coronopifolia Poir (family Lamiaceae). The fruit of C. obtusa contained only monoterpenes, mainly hydrogenated ones, with α-pinene (69.07%) as the major component. Oxygenated sesquiterpenes comprised the highest content of the C. nigritanus …

Investiture Ceremony- Inauguration Of Rhea F. Law, Tampa Campus, January 19, 2023, University Of South Florida

USF Graduation and Convocation Programs

Program for the investiture of the eighth President of the University of South Florida, Rhea F. Law

The Student Movement Volume 107 Issue 12: Revisiting "The Dream": Students Celebrate Mlk Day, Grace No, Nora Martin, Gloria Oh, Ysabelle Fernando, Solana Campbell, Amelia Stefanescu, Brendan Oh, Julia Randall, Gabriela Francisco, Peter Lyons, Anthony Bosman, Martin Hanna, Ryan T. Hayes, Karin Thompson, Melissa Moore, Wambui Karanja, Desmond H. Murray, Scott Moncrieff

The Student Movement v. 107 (2022-2023)

HUMANS

Andrews Gaming Club, Interviewed by: Grace No

Meet Gio Lee, Interviewed by: Nora Martin

New Year, Happier Me, Gloria Oh

ARTS & ENTERTAINMENT

Art @ AU: Harrigan's Gallery, Ysabelle Fernando

Currently: The Way of Water, Solana Campbell

Ode to 2022, Amelia Stefanescu

Where Do I Find God - Part I, Anonymous

NEWS

Honoring Martin Luther King Jr.'s Legacy, Brendan Oh

Is America Safe?: First Grader Shoots Teacher, Julia Randall

A House Divided: Current Issues Within the School of Architecture and Interior Design, Student Movement Editorial Staff

IDEAS

Harry & Meghan: Unpacking Royal Pains, Gabriela Francisco

A New Space for …

Rogue Entrepreneurship, Russ Mcbride, Mark D. Packard, Brent B. Clark

Marketing & Entrepreneurship Faculty Publications

We suggest a new category of “rogue entrepreneurship,” that describes entrepreneurial activity where the core business idea violates established or expert consensus, to be contrasted with “conforming entrepreneurship,” where it does not. There are large entrepreneurial rents hidden behind a bulwark of expert consensus that predicts doom for a venture based upon a rogue and unlikely claim. The “rogue” cases, where the predominant assessment context is different from the entrepreneur’s, result in broad skepticism against the entrepreneurial claim. We explain what rogue entrepreneurship is and how it works.

“What important truth do very few people agree with you on? A …

Usage Statistics: Project Counter R5 Pr_P1 Report Fy2022 - Platform Usage, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report PR_P1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The PR_P1 report is defined as "Platform Usage." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Searches Platform - 390,026

Total Item Requests - 1,061,890

Unique Item Requests - 797,626

Unique Title Requests - 43,693

Integrated Mrna Sequence Optimization Using Deep Learning, Haoran Gong, Jianguo Wen, Ruihan Luo, Yuzhou Feng, Jingjing Guo, Hongguang Fu, Xiaobo Zhou

Faculty, Staff and Student Publications

The coronavirus disease of 2019 pandemic has catalyzed the rapid development of mRNA vaccines, whereas, how to optimize the mRNA sequence of exogenous gene such as severe acute respiratory syndrome coronavirus 2 spike to fit human cells remains a critical challenge. A new algorithm, iDRO (integrated deep-learning-based mRNA optimization), is developed to optimize multiple components of mRNA sequences based on given amino acid sequences of target protein. Considering the biological constraints, we divided iDRO into two steps: open reading frame (ORF) optimization and 5' untranslated region (UTR) and 3'UTR generation. In ORF optimization, BiLSTM-CRF (bidirectional long-short-term memory with conditional random …

Ontologies Applied In Clinical Decision Support System Rules: Systematic Review, Xia Jing, Hua Min, Yang Gong, Paul Biondich, David Robinson, Timothy Law, Christian Nohr, Arild Faxvaag, Lior Rennert, Nina Hubig, Ronald Gimbel

Faculty, Staff and Student Publications

BACKGROUND: Clinical decision support systems (CDSSs) are important for the quality and safety of health care delivery. Although CDSS rules guide CDSS behavior, they are not routinely shared and reused.

OBJECTIVE: Ontologies have the potential to promote the reuse of CDSS rules. Therefore, we systematically screened the literature to elaborate on the current status of ontologies applied in CDSS rules, such as rule management, which uses captured CDSS rule usage data and user feedback data to tailor CDSS services to be more accurate, and maintenance, which updates CDSS rules. Through this systematic literature review, we aim to identify the frontiers …

Usage Statistics: Project Counter R5 Tr_J1 Report Fy2022 - Journal Requests (Excluding Oa_Gold) By Platform, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_J1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The TR_J1 report is defined as "Journal Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 771,947

Unique Item Requests - 578,437

Usage Statistics: Project Counter R5 Tr_J1 Report Fy2022 - Journal Requests (Excluding Oa_Gold) By Title, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_J1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The TR_J1 report is defined as "Journal Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 771,947

Unique Item Requests - 578,437

Usage Statistics: Project Counter R5 Tr_B1 Report Fy2022 - Book Requests (Excluding Oa_Gold) By Platform, Andrée J. Rathemacher

Technical Services Reports and Statistics

Project COUNTER R5 Report TR_B1 for the University of Rhode Island for the period from July 1, 2021 - June 30, 2022. The TR_B1 report is defined as "Book Requests (Excluding OA_Gold)." This report presents an annual total only and only includes those platforms successfully configured for automated harvesting via SUSHI.

File for download is Excel spreadsheet generated by Alma Analytics.

Results:

Total Item Requests - 92,619

Unique Title Requests - 43,012

An Alternate Dimensionless Form Of The Linearized Rigid-Body Aircraft Equations Of Motion With Emphasis On Dynamic Parameters, Douglas F. Hunsaker, Benjamin C. Moulton

Mechanical and Aerospace Engineering Student Publications and Presentations

The equations of motion for an aircraft can be linearized about a reference condition within the assumptions of small disturbances and linear aerodynamics. The resulting system of equations is typically solved to obtain the eigenvalues and eigenvectors that describe the small disturbance motion of the aircraft. Results from such an analysis are often used to predict the rigid-body dynamic modes of the aircraft and associated handling qualities. This process is typically carried out in dimensional form in most text books, or in nondimensional form using dimensionless parameters rooted in aerodynamic theory. Here we apply Buckingham’s Pi theorem to obtain nondimensional …

A “Duty To Write” Smart Contracts That Unsophisticated Users Have A “Duty To Read”, Chase Webber

Minnesota Journal of Law, Science & Technology

No abstract provided.

Making Minnesota A Model For Energy Storage Policy, Max Meyer

Minnesota Journal of Law, Science & Technology

No abstract provided.

2023 January 19 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Semantic Orientation Of Crosslingual Sentiments: Employment Of Lexicon And Dictionaries, Arslan Ali Raza, Asad Habib, Jawad Ashraf, Babar Shah, Fernando Moreira

All Works

Sentiment Analysis is a modern discipline at the crossroads of data mining and natural language processing. It is concerned with the computational treatment of public moods shared in the form of text over social networking websites. Social media users express their feelings in conversations through cross-lingual terms, intensifiers, enhancers, reducers, symbols, and Net Lingo. However, the generic Sentiment Analysis (SA) research lacks comprehensive coverage about such abstruseness. In particular, they are inapt in the semantic orientation of Crosslingual based code switching, capitalization and accentuation of opinionative text due to the lack of annotated corpora, computational resources, linguistic processing and inefficient …