Authentic learning of mobile security with case studies
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6679339/6684765/06685091.pdf?arnumber=6685091
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Effecting mobile security awareness and interest in cybersecurity using the CovertEyeOp mobile app driven user hack based learning approach;Education and Information Technologies;2023-12-07
2. Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware: Neural Network Algorithms for Network Denial of Service (DOS) Detection;2022 IEEE International Conference on Big Data (Big Data);2022-12-17
3. Authentic Learning of Machine Learning to Ransomware Detection and Prevention;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06
4. Developing a Unique Android App-driven Nifty Middle-School Educational Module on Mobile Security for Driving Basic Information Security Awareness and Generating Interests in Cybersecurity;Proceedings of the 49th ACM Technical Symposium on Computer Science Education;2018-02-21
5. The Development of a Longitudinal Security Case Study;Proceedings of the 16th Annual Conference on Information Technology Education;2015-09-29
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