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A Novel Optimization Based Deep Learning with Artificial Intelligence Approach to Detect Intrusion Attack in Network System
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S. Siva Shankar; Bui Thanh Hung; Prasun Chakrabarti; Tulika Chakrabarti; Gayatri Parasa – Education and Information Technologies, 2024
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of study. However, due to their few resources and varied makeup, they are more vulnerable to a wide range of cyber-attacks. Such risks result in sensitive information being stolen as well as financial and reputational harm to firms. How far malicious detection…
Descriptors: Learning Processes, Artificial Intelligence, Information Security, Computer Security
Effecting Mobile Security Awareness and Interest in Cybersecurity Using the CovertEyeOp Mobile App Driven User Hack Based Learning Approach
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Tyler Poe; Ankur Chattopadhyay – Education and Information Technologies, 2024
Existing research literature in computing and IT education shows that there has been limited work on investigating how offense based learning approaches using hacks can enhance learning of mobile security topics. In an effort to fill this research gap, we performed an experimental study with a unique, nifty user hack driven offense based learning…
Descriptors: Information Security, Computer Security, Telecommunications, Handheld Devices
Classification and Evaluation of Educational Apps for Early Childhood: Security Matters
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Vaiopoulou, Julie; Papadakis, Stamatios; Sifaki, Eirini; Kalogiannakis, Michail; Stamovlasis, Dimitrios – Education and Information Technologies, 2023
This study explored certain popular educational apps' vital characteristics and potential profiles (n1 = 50) for kindergarten kids. The profile analysis involved a categorization ascended from an evaluation process conducted by pre-service early childhood teachers' (n2 = 295) at the University of Crete, Greece, using a new instrument, validated in…
Descriptors: Foreign Countries, Young Children, Kindergarten, Educational Technology