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Harry May; Travis Atkison – Journal of Cybersecurity Education, Research and Practice, 2024
Detecting and mitigating wormhole attacks in wireless networks remains a critical challenge due to their deceptive nature and potential to compromise network integrity. This paper proposes a novel approach to wormhole detection by leveraging propagation delay analysis between network nodes. Unlike traditional methods that rely on signature-based…
Descriptors: Computer Security, Identification, Computer Networks, Telecommunications
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Di Gangi, Paul M.; Wech, Barbara A.; Hamrick, Jennifer D.; Worrell, James L.; Goh, Samuel H. – Journal of Cybersecurity Education, Research and Practice, 2023
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…
Descriptors: Risk Assessment, Consumer Economics, Computer Security, Information Security
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Tanja Samardzic; Christine Wildman; Paula C. Barata; Mavis Morton – International Journal of Social Research Methodology, 2024
In response to concerns about the use of online focus groups, particularly around sensitive topics research, we provide two case examples of sensitive topics research that pivoted to online focus groups amid university ethics restrictions due to COVID-19 concerns. We begin by contextualizing the studies, one of which used the more traditional…
Descriptors: Focus Groups, Videoconferencing, Young Adults, Foreign Countries
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Casagrande, Marco; Conti, Mauro; Fedeli, Monica; Losiouk, Eleonora – Journal of Cybersecurity Education, Research and Practice, 2023
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; and (3) their infrastructures often lack security. In this paper, we showcase a phishing assessment at the University of…
Descriptors: Fraternities, Computer Security, Information Security, Higher Education
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Švábenský, Valdemar; Vykopal, Jan; Celeda, Pavel; Tkácik, Kristián; Popovic, Daniel – Education and Information Technologies, 2022
Hands-on cybersecurity training allows students and professionals to practice various tools and improve their technical skills. The training occurs in an interactive learning environment that enables completing sophisticated tasks in full-fledged operating systems, networks, and applications. During the training, the learning environment allows…
Descriptors: Computer Security, Information Security, Training, Data Collection
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Pangrazio, Luci; Selwyn, Neil – Pedagogy, Culture and Society, 2021
The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…
Descriptors: Data Collection, Data Analysis, Technology Uses in Education, Data Processing
Nowicki, Jacqueline M. – US Government Accountability Office, 2020
A cybersecurity incident is an event that actually or potentially jeopardizes a system or the information it holds. When a student's personal information is disclosed, it can lead to physical, emotional, and financial harm. Organizations are vulnerable to data security risks, including over 17,000 public school districts and approximately 98,000…
Descriptors: Information Security, Computer Security, Student Records, Elementary Secondary Education
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
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Wu, Yejun – Journal of Education for Library and Information Science, 2013
This paper addresses the curriculum overlap and gap between LIS education and intelligence education by analyzing the content of the websites of the intelligence education programs and courses in 27 representative intelligence education universities in the United States, and the intelligence-related programs and courses in the 56 LIS programs in…
Descriptors: Library Science, Library Education, Web Sites, Computer Literacy