QsecR: Secure QR Code Scanner According to a Novel Malicious URL Detection Framework

Author:

Rafsanjani Ahmad Sahban1ORCID,Kamaruddin Norshaliza Binti2ORCID,Rusli Hazlifah Mohd2ORCID,Dabbagh Mohammad3ORCID

Affiliation:

1. Department of Computing and Information Systems, School of Engineering and Technology, Sunway University, Selangor, Malaysia

2. Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

3. School of Information Technology and Engineering, MIT Sydney, Sydney, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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. Detecting Malicious Uniform Resource Locators Using an Applied Intelligence Framework;Computers, Materials & Continua;2024

2. Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation;IEEE Access;2024

3. WebGuardML: Safeguarding Users with Malicious URL Detection Using Machine Learning;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

4. Secured QR Scanner (SQR) based on Query Method;2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2023-12-02

5. Investigating IPTV Malware in the Wild;Future Internet;2023-09-28

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