Cyber attack detection with QR code images using lightweight deep learning models

Author:

Alaca YusufORCID,Çelik YükselORCID

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference50 articles.

1. Detecting server-side request forgery (SSRF) attack by using deep learning techniques;Al-talak;Int. J. Adv. Comput. Sci. Appl.,2021

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4. Classification of apple tree leaves diseases using deep learning methods;Alsayed;Int. J. Comput. Sci. Netw. Secur.,2021

5. Real-time DDoS attack detection system using big data approach;Awan;Sustainability,2021

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1. Detection of QR Code-based Cyberattacks using a Lightweight Deep Learning Model;Engineering, Technology & Applied Science Research;2024-08-02

2. Security Information Event Management data acquisition and analysis methods with machine learning principles;Results in Engineering;2024-06

3. Pearson Correlation Coefficient based Improved Least Square - Support Vector Machine for Cyber-Attack Detection in Internet of Things;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

4. Recognition of Valid QR Codes with Machine Learning;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

5. ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT;2024 2nd International Conference on Cyber Resilience (ICCR);2024-02-26

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