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Articles 601 - 630 of 1161

Full-Text Articles in Computer Sciences

Privacy Harm And Non-Compliance From A Legal Perspective, Suvineetha Herath, Haywood Gelman, Lisa Mckee Oct 2023

Privacy Harm And Non-Compliance From A Legal Perspective, Suvineetha Herath, Haywood Gelman, Lisa Mckee

Journal of Cybersecurity Education, Research and Practice

In today's data-sharing paradigm, personal data has become a valuable resource that intensifies the risk of unauthorized access and data breach. Increased data mining techniques used to analyze big data have posed significant risks to data security and privacy. Consequently, data breaches are a significant threat to individual privacy. Privacy is a multifaceted concept covering many areas, including the right to access, erasure, and rectify personal data. This paper explores the legal aspects of privacy harm and how they transform into legal action. Privacy harm is the negative impact to an individual as a result of the unauthorized release, gathering, …

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What You See Is Not What You Know: Studying Deception In Deepfake Video Manipulation, Cathryn Allen, Bryson R. Payne, Tamirat Abegaz, Chuck Robertson Oct 2023

What You See Is Not What You Know: Studying Deception In Deepfake Video Manipulation, Cathryn Allen, Bryson R. Payne, Tamirat Abegaz, Chuck Robertson

Journal of Cybersecurity Education, Research and Practice

Research indicates that deceitful videos tend to spread rapidly online and influence people’s opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat. This study aims to discover what factors can influence viewers’ capability to distinguish deepfake videos from genuine video footage. This work focuses on exploring deepfake videos’ potential use for deception and misinformation by exploring people’s ability to determine whether videos are deepfakes in a survey consisting of deepfake videos and original unedited videos. The participants viewed a set of four videos and were asked to judge whether the videos shown …

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Service-Oriented Framework For Developing Interoperable E-Health Systems In A Low-Income Country, Bonface Abima, Agnes Nakakawa, Geoffrey Mayoka Kituyi Oct 2023

Service-Oriented Framework For Developing Interoperable E-Health Systems In A Low-Income Country, Bonface Abima, Agnes Nakakawa, Geoffrey Mayoka Kituyi

The African Journal of Information Systems

e-Health solutions in low-income countries are fragmented, address institution-specific needs, and do little to address the strategic need for inter-institutional exchange of health data. Although various e-health interoperability frameworks exist, contextual factors often hinder their effective adoption in low-income countries. This underlines the need to investigate such factors and to use findings to adapt existing e-health interoperability models. Following a design science approach, this research involved conducting an exploratory survey among 90 medical and Information Technology personnel from 67 health facilities in Uganda. Findings were used to derive requirements for e-health interoperability, and to orchestrate elements of a service oriented …

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Blended Learning In The Wake Of Ict Infrastructure Deficiencies: The Case Of A Zimbabwean University, Lucia Makwasha, Sam Jnr Takavarasha, Hazel Mubango Sep 2023

Blended Learning In The Wake Of Ict Infrastructure Deficiencies: The Case Of A Zimbabwean University, Lucia Makwasha, Sam Jnr Takavarasha, Hazel Mubango

African Conference on Information Systems and Technology

In the wake of debates between actors in the Zimbabwean higher education sector about the effectiveness of e-learning models, it is important to investigate the effectiveness of using blended learning at a time when infrastructure challenges are disrupting ICT access. This paper aims to address this quest for a deeper understanding by investigating students' perceptions of blended learning at a selected Zimbabwean university. Twelve in-depth interviews were conducted with students from a Zimbabwean university that employs blended learning under an interpretivist paradigm. Vygotsky's Zone of Proximal Development (ZPD) was used for conceptualising students' cognitive development and Engestrom's (2003) Third-generation Activity …

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Factors Influencing User Adherence Towards Privacy Standards Of Internet Of Things Devices, Philip Bazanye, Walter Uys, Wallace Chigona Sep 2023

Factors Influencing User Adherence Towards Privacy Standards Of Internet Of Things Devices, Philip Bazanye, Walter Uys, Wallace Chigona

African Conference on Information Systems and Technology

The upsurge in the use of Internet of things (IoT) devices increases the likelihood of cyber-attacks on end users. The objective of the study reported here was to investigate the factors that influence IoT device users’ adherence to privacy standards. This interpretivist exploratory research was guided by a three-phased approach using activity theory. The interview questions were derived from the conceptual model and themes analysed using deductive thematic analysis. The findings indicate that a lack of adherence is driven by a lack of trust in IoT devices and service providers, as well as convenience and health factors. In addition, users’ …

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Social Media & Privacy: Understanding Privacy In The Age Of Content Creator Culture, Robert Tagoe, Raphael Amponsah, Emmanuel Awuni Kolog, Eric Afful-Dadzie Sep 2023

Social Media & Privacy: Understanding Privacy In The Age Of Content Creator Culture, Robert Tagoe, Raphael Amponsah, Emmanuel Awuni Kolog, Eric Afful-Dadzie

African Conference on Information Systems and Technology

In today's digital age, content creators are gaining public attention and becoming highly influential. With that increased influence, it is important to acknowledge the privacy concerns within this culture. This interpretive research study seeks to identify and understand the dynamics of privacy within the content creator culture. This research will leverage information from interviews with content creators from various social media platforms such as YouTube, Instagram, Facebook, and TikTok. Using theories to understand the phenomena, theories of privacy calculus, privacy paradox and self-disclosure, will be used to view how content creators define and navigate privacy, strategies employed to control personal …

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Digital Transformation In Government: A Bibliometric Scoping Of African Aspirations And The Realities, Hossana Twinomurinzi, Sibukele Gumbo Sep 2023

Digital Transformation In Government: A Bibliometric Scoping Of African Aspirations And The Realities, Hossana Twinomurinzi, Sibukele Gumbo

African Conference on Information Systems and Technology

African countries have persistently ranked poorly in the United Nations E-Government Development index (EGDI). This study therefore sought to make sense of the nature and form of digital transformation (DX) in African governments. It used a bibliometric analysis and a critical realist lens to explore some of the underlying structures and generative mechanisms that influence DX. The key findings from 606 scholarly publications over the three decades of DX research reveals marked sharp contrasts, with South Africa dominating the research on DX, an underrepresentation of DX research from most African nations, and some influence from non-African nations, particularly the United …

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Codesigning A Big Data Analytic Tool For Girl Child Learner Drop Out From Eastern Cape Province -South Africa, Nobert Rangarirai Jere, Nosipho Carol Mavuso, Nelly Sharpley Sep 2023

Codesigning A Big Data Analytic Tool For Girl Child Learner Drop Out From Eastern Cape Province -South Africa, Nobert Rangarirai Jere, Nosipho Carol Mavuso, Nelly Sharpley

African Conference on Information Systems and Technology

Developing sustainable solutions is critical for adoption of digital solutions. As the high number of learners dropping out of school continues to increase, it is critical to find innovative ways of predicting and preventing high drop out. Current literature has documented a number of factors that influence learner drop out. Innovative ideas, techniques and activities have been undertaken to motivate learners to stay at school. It is unfortunate that most of the initiatives have not helped to avoid drop out of learners. The study is based on a mixed approached that was used targeting female learns from Oliver Tambo District …

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A Social Profile-Based E-Learning Model, Xola Ntlangula Sep 2023

A Social Profile-Based E-Learning Model, Xola Ntlangula

African Conference on Information Systems and Technology

Many High Education Institutions (HEIs) have migrated to blended or complete online learning to cater for less interruption with learning. As such, there is a growing demand for personalized e-learning to accommodate the diversity of students' needs. Personalization can be achieved using recommendation systems powered by artificial intelligence. Although using student data to personalize learning is not a new concept, collecting and identifying appropriate data is necessary to determine the best recommendations for students. By reviewing the existing data collection capabilities of the e-learning platforms deployed by public universities in South Africa, we were able to establish the readiness of …

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Factors Influencing The Retention Of Millennial Software Developers In South African Companies, Kim Fouche, Maureen Tanner Sep 2023

Factors Influencing The Retention Of Millennial Software Developers In South African Companies, Kim Fouche, Maureen Tanner

African Conference on Information Systems and Technology

South Africa has an Information Technology skills shortage leading to high turnover of Information Technology professionals. Not only do companies face significant costs in replacing software developers, but high mobility also affects staff morale. Millennials are known to be more loyal to their own needs and do not tend to stay at companies for long, increasing the complexities of retention. This study explores the factors that influence the retention of millennial software developers in South African companies. The qualitative study was carried out using online semi-structured interviews. The study found that work environment, lifestyle, and management style, play a key …

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An Assessment Of The Consistency Gap In Developing Countries: A Case Of Zimbabwe’S Ict Regulatory Framework, Casper Chigwedere Sep 2023

An Assessment Of The Consistency Gap In Developing Countries: A Case Of Zimbabwe’S Ict Regulatory Framework, Casper Chigwedere

African Conference on Information Systems and Technology

An effective Information and Communications Technology (ICT) regulatory system is expected to advance regulatory consistency, independence, pro-competitiveness, consistency, competency, and accountability. These qualities will inspire investor confidence, sectoral growth, and customer satisfaction. Since we considered regulatory independence elsewhere, this paper investigates the level of regulatory consistency in developing countries. This is done using data from Zimbabwe a developing country in Sub-Saharan Africa. The study employs a Qualitative methodology, and Heeks’ (2002) Design Reality Gap (DRG) model under an interpretivist paradigm. Data collection employed in-depth interviews with purposively selected stakeholders and the analysed using Nvivo (release 1.6.1 (1136)) and thematic analysis …

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On Training Neurons With Bounded Compilations, Lance Kennedy Jul 2023

On Training Neurons With Bounded Compilations, Lance Kennedy

Master of Science in Computer Science Theses

Knowledge compilation offers a formal approach to explaining and verifying the behavior of machine learning systems, such as neural networks. Unfortunately, compiling even an individual neuron into a tractable representation such as an Ordered Binary Decision Diagram (OBDD), is an NP-hard problem. In this thesis, we consider the problem of training a neuron from data, subject to the constraint that it has a compact representation as an OBDD. Our approach is based on the observation that a neuron can be compiled into an OBDD in polytime if (1) the neuron has integer weights, and (2) its aggregate weight is bounded. …

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Using Machine Learning Techniques To Model Encoder/Decoder Pair For Non-Invasive Electroencephalographic Wireless Signal Transmission, Ernst Fanfan Jul 2023

Using Machine Learning Techniques To Model Encoder/Decoder Pair For Non-Invasive Electroencephalographic Wireless Signal Transmission, Ernst Fanfan

Master of Science in Computer Science Theses

This study investigated the application and enhancement of Non-Invasive Brain-Computer Interfaces (NI-BCIs), focused on enhancing the efficiency and effectiveness of this technology for individuals with severe physical limitations. The core research goal was to improve current limitations associated with wires, noise, and invasive procedures often associated with BCI technology. The key discussed solution involves developing an optimized Encoder/Decoder (E/D) pair using machine learning techniques, particularly those borrowed from Generative Adversarial Networks (GAN) and other Deep Neural Networks, to minimize data transmission and ensure robustness against data degradation. The study highlighted the crucial role of machine learning in self-adjusting and isolating …

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Examination Of Cybersecurity Technologies, Practices, Challenges, And Wish List In K-12 School Districts, Florence Martin, Julie Bacak, Erik Jon Byker, Weichao Wang, Jonathan Wagner, Lynn Ahlgrim-Delzell Jul 2023

Examination Of Cybersecurity Technologies, Practices, Challenges, And Wish List In K-12 School Districts, Florence Martin, Julie Bacak, Erik Jon Byker, Weichao Wang, Jonathan Wagner, Lynn Ahlgrim-Delzell

Journal of Cybersecurity Education, Research and Practice

With the growth in digital teaching and learning, there has been a sharp rise in the number of cybersecurity attacks on K-12 school networks. This has demonstrated a need for security technologies and cybersecurity education. This study examined security technologies used, effective security practices, challenges, concerns, and wish list of technology leaders in K-12 settings. Data collected from 23 district websites and from interviews with 12 district technology leaders were analyzed. Top security practices included cloud-based technologies, segregated network/V-LAN, two-factor authentication, limiting access, and use of Clever or Class Link. Top challenges included keeping users informed, lack of buy-in from …

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Cyberbullying: Senior Prospective Teachers’ Coping Knowledge And Strategies, Kürşat Arslan, İnan Aydın Jul 2023

Cyberbullying: Senior Prospective Teachers’ Coping Knowledge And Strategies, Kürşat Arslan, İnan Aydın

Journal of Cybersecurity Education, Research and Practice

This study aimed to determine senior prospective teachers’ coping knowledge and strategies for cyberbullying in terms of demographic variables. The sample consisted of 471 prospective teachers (324 female and 147 male) studying in the 4th grade in Dokuz Eylül University Buca Education Faculty in Izmir in the 2019-2020 academic year. It was a quantitative study using a causal-comparative research design to find out whether prospective teachers’ coping knowledge differed by independent variables. The "Coping with Cyberbullying Scale" developed by Koç et al. (2016) was employed to discover prospective teachers’ coping strategies for cyberbullying. A "Personal Information" form was also prepared …

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A Systematic Mapping Study On Gamification Applications For Undergraduate Cybersecurity Education, Sherri Weitl-Harms, Adam Spanier, John Hastings, Matthew Rokusek Jul 2023

A Systematic Mapping Study On Gamification Applications For Undergraduate Cybersecurity Education, Sherri Weitl-Harms, Adam Spanier, John Hastings, Matthew Rokusek

Journal of Cybersecurity Education, Research and Practice

Gamification in education presents a number of benefits that can theoretically facilitate higher engagement and motivation among students when learning complex, technical concepts. As an innovative, high-potential educational tool, many educators and researchers are attempting to implement more effective gamification into undergraduate coursework. Cyber Security Operations (CSO) education is no exception. CSO education traditionally requires comprehension of complex concepts requiring a high level of technical and abstract thinking. By properly applying gamification to complex CSO concepts, engagement in students should see an increase. While an increase is expected, no comprehensive study of CSO gamification applications (GA) has yet been undertaken …

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Editorial - 2023 - 1, Hossain Shahriar, Herbert J. Mattord, Michael E. Whitman Jul 2023

Editorial - 2023 - 1, Hossain Shahriar, Herbert J. Mattord, Michael E. Whitman

Journal of Cybersecurity Education, Research and Practice

No abstract provided.

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Sociocultural Barriers For Female Participation In Stem: A Case Of Saudi Women In Cybersecurity, Alanoud Aljuaid, Xiang Michelle Liu Jul 2023

Sociocultural Barriers For Female Participation In Stem: A Case Of Saudi Women In Cybersecurity, Alanoud Aljuaid, Xiang Michelle Liu

Journal of Cybersecurity Education, Research and Practice

The participation of women in Science, Technology, Engineering, and Mathematics (STEM) workforces is overwhelmingly low as compared to their male counterparts. The low uptake of cybersecurity careers has been documented in the previous studies conducted in the contexts of the West and Eastern worlds. However, most of the past studies mainly covered the Western world leaving more knowledge gaps in the context of Middle Eastern countries such as Saudi Arabia. Thus, to fill the existing knowledge gaps, the current study focused on women in Saudi Arabia. The aim of the study was to investigate the factors behind the underrepresentation of …

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Compete To Learn: Toward Cybersecurity As A Sport, Tj Oconnor, Dane Brown, Jasmine Jackson, Bryson Payne, Suzanna Schmeelk Jul 2023

Compete To Learn: Toward Cybersecurity As A Sport, Tj Oconnor, Dane Brown, Jasmine Jackson, Bryson Payne, Suzanna Schmeelk

Journal of Cybersecurity Education, Research and Practice

To support the workforce gap of skilled cybersecurity professionals, gamified pedagogical approaches for teaching cybersecurity have exponentially grown over the last two decades. During this same period, e-sports developed into a multi-billion dollar industry and became a staple on college campuses. In this work, we explore the opportunity to integrate e-sports and gamified cybersecurity approaches into the inaugural US Cyber Games Team. During this tenure, we learned many lessons about recruiting, assessing, and training cybersecurity teams. We share our approach, materials, and lessons learned to serve as a model for fielding amateur cybersecurity teams for future competition.

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How Effective Are Seta Programs Anyway: Learning And Forgetting In Security Awareness Training, David Sikolia, David Biros, Tianjian Zhang Jul 2023

How Effective Are Seta Programs Anyway: Learning And Forgetting In Security Awareness Training, David Sikolia, David Biros, Tianjian Zhang

Journal of Cybersecurity Education, Research and Practice

Prevalent security threats caused by human errors necessitate security education, training, and awareness (SETA) programs in organizations. Despite strong theoretical foundations in behavioral cybersecurity, field evidence on the effectiveness of SETA programs in mitigating actual threats is scarce. Specifically, with a broad range of cybersecurity knowledge crammed into in a single SETA session, it is unclear how effective different types of knowledge are in mitigating human errors in a longitudinal setting. his study investigates how knowledge gained through SETA programs affects human errors in cybersecurity to fill the longitudinal void. In a baseline experiment, we establish that SETA programs reduce …

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Anonymity And Gender Effects On Online Trolling And Cybervictimization, Gang Lee, Annalyssia Soonah Jul 2023

Anonymity And Gender Effects On Online Trolling And Cybervictimization, Gang Lee, Annalyssia Soonah

Journal of Cybersecurity Education, Research and Practice

The purpose of this study was to investigate the effects of the anonymity of the internet and gender differences in online trolling and cybervictimization. A sample of 151 college students attending a southeastern university completed a survey to assess their internet activities and online trolling and cybervictimization. Multivariate analyses of logistic regression and ordinary least squares regression were used to analyze online trolling and cybervictimization. The results indicated that the anonymity measure was not a significant predictor of online trolling and cybervictimization. Female students were less likely than male students to engage in online trolling, but there was no gender …

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Case Study: The Impact Of Emerging Technologies On Cybersecurity Education And Workforces, Austin Cusak Jul 2023

Case Study: The Impact Of Emerging Technologies On Cybersecurity Education And Workforces, Austin Cusak

Journal of Cybersecurity Education, Research and Practice

A qualitative case study focused on understanding what steps are needed to prepare the cybersecurity workforces of 2026-2028 to work with and against emerging technologies such as Artificial Intelligence and Machine Learning. Conducted through a workshop held in two parts at a cybersecurity education conference, findings came both from a semi-structured interview with a panel of experts as well as small workgroups of professionals answering seven scenario-based questions. Data was thematically analyzed, with major findings emerging about the need to refocus cybersecurity STEM at the middle school level with problem-based learning, the disconnects between workforce operations and cybersecurity operators, the …

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Quantification Of Various Types Of Biases In Large Language Models, Sudhashree Sayenju Apr 2023

Quantification Of Various Types Of Biases In Large Language Models, Sudhashree Sayenju

Doctor of Data Science and Analytics Dissertations

Natural Language Processing (NLP) systems are included everywhere on the internet from search engines, language translations to more advanced systems like voice assistant and customer service. Since humans are always on the receiving end of NLP technologies, it is very important to analyze whether or not the Large Language Models (LLMs) in use have bias and are therefore unfair. The majority of the research in NLP bias has focused on societal stereotype biases embedded in LLMs. However, our research focuses on all types of biases, namely model class level bias, stereotype bias and domain bias present in LLMs. Model class …

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Analysis Of Honeypots In Detecting Tactics, Techniques, And Procedure (Ttp) Changes In Threat Actors Based On Source Ip Address, Carson Reynolds, Andy Green Apr 2023

Analysis Of Honeypots In Detecting Tactics, Techniques, And Procedure (Ttp) Changes In Threat Actors Based On Source Ip Address, Carson Reynolds, Andy Green

Symposium of Student Scholars

The financial and national security impacts of cybercrime globally are well documented. According to the 2020 FBI Internet Crime Report, financially motivated threat actors committed 86% of reported breaches, resulting in a total loss of approximately $4.1 billion in the United States alone. In order to combat this, our research seeks to determine if threat actors change their tactics, techniques, and procedures (TTPs) based on the geolocation of their target’s IP address. We will construct a honeypot network distributed across multiple continents to collect attack data from geographically separate locations concurrently to answer this research question. We will configure the …

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Gr-342 Integration Of Blockchain In Computer Networking: Overview, Applications, And Future Perspectives For Software-Defined Networking (Sdn), Network Security And Protocols, Md Jobair Hossain Faruk Apr 2023

Gr-342 Integration Of Blockchain In Computer Networking: Overview, Applications, And Future Perspectives For Software-Defined Networking (Sdn), Network Security And Protocols, Md Jobair Hossain Faruk

C-Day Computing Showcase

The rapid advancement and increasing complexity of computer networks have created a need for robust, secure, and scalable solutions to manage and protect network resources. Blockchain, an emerging distributed ledger technology, offers enhanced security, transparency, and privacy preservation, making it a promising solution for addressing networking challenges. This paper presents a comprehensive survey of blockchain integration in computer networking, focusing on its potential applications, benefits, and future perspectives in Software-defined Networking (SDN), network security, and networking protocols. We identify that blockchain's tamper-proof nature could significantly improve network security by mitigating risks associated with centralized control and single points of failure. …

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Ec-371 Planit Crm - Refactoring For The Future, Justin Hall, Oluwaseyi Falaiye, Thomas Anderson, Sai Krupa Bariki Vidura, Samet Yekta Guclu, Ahmet Bugra Dogan Apr 2023

Ec-371 Planit Crm - Refactoring For The Future, Justin Hall, Oluwaseyi Falaiye, Thomas Anderson, Sai Krupa Bariki Vidura, Samet Yekta Guclu, Ahmet Bugra Dogan

C-Day Computing Showcase

Planit CRM is a Customer Relationship Management (CRM) software that helps in managing and tracking projects, tasks, invoices, quotes, leads, customers, transactions and much more. This software allows anyone to manage leads, create invoices, and start collecting payments seamlessly. The system was developed by Driven Software Solutions under the guidance of Shahzib Sarfraz in 2018. The software has since been used by business owners to allow for easier management of the income and expenses of their operation. It is supported by a team of around fifty developers who maintain the PlanIT CRM software off the site https://planitcrm.com, which can be …

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Gr-334 Comparative Evaluation Of Embed Dataset For Mammogram Classification Using Deep Learning Techniques, Nalla Vineela Apr 2023

Gr-334 Comparative Evaluation Of Embed Dataset For Mammogram Classification Using Deep Learning Techniques, Nalla Vineela

C-Day Computing Showcase

Breast cancer is a global health concern for women. The detection of breast cancer in its early stages is crucial, and screening mammography serves as a vital leading-edge tool for achieving this goal. In this study, we evaluated the performance of centralized versions of Resnet 50v2 and Resnet 152v2 models for classification of mammograms using different datasets, which were divided by location number extracted from the EMBED dataset. The datasets were preprocessed and used various techniques to improve the performance of the models. The models are trained and evaluated using metrics such as accuracy, area under the curve (AUC), F1 …

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Teaching By Practice: Shaping Secure Coding Mentalities Through Cybersecurity Ctfs, Jazmin Collins, Vitaly Ford Jan 2023

Teaching By Practice: Shaping Secure Coding Mentalities Through Cybersecurity Ctfs, Jazmin Collins, Vitaly Ford

Journal of Cybersecurity Education, Research and Practice

The use of the Capture the Flag (CTF)-style competitions has grown popular in a variety of environments as a method to improve or reinforce cybersecurity techniques. However, while these competitions have shown promise in student engagement, enjoyment, and the teaching of essential workforce cybersecurity concepts, many of these CTF challenges have largely focused on cybersecurity as a general topic. Further, most in-school CTF challenges are designed with technical institutes in mind, prepping only experienced or upper-level students in cybersecurity studies for real-world challenges. Our paper aims to focus on the setting of a liberal arts institute, emphasizing secure coding as …

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Lightweight Pairwise Key Distribution Scheme For Iots, Kanwalinderjit Kaur Jan 2023

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 …

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Reinventing Cybersecurity Internships During The Covid-19 Pandemic, Lori L. Sussman Jan 2023

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 …

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