1. Detection of Cross-Site Scripting and Phishing Website Vulnerabilities Using Machine Learning.
2. A Review: Security and Privacy Defensive Techniques for Cyber Security Using Deep Neural Networks (DNNs).
3. DNA-Based Cryptosystem for Connected Objects and IoT Security.
4. A Role of Digital Evidence: Mobile Forensics Data.
5. Analysis of Kernel Vulnerabilities Using Machine Learning.
6. Cyber Threat Exploitation and Growth during COVID-19 Times.
7. An Overview of the Cybersecurity in Smart Cities in the Modern Digital Age.
8. The Fundamentals and Potential for Cyber Security of Machine Learning in the Modern World.
9. Qualitative and Quantitative Evaluation of Encryption Algorithms.
10. Analysis and Investigation of Advanced Malware Forensics.
11. Network Intrusion Detection System Using Naive Bayes Classification Technique for Anomaly Detection.
12. Data Security Analysis in Mobile Cloud Computing for Cyber Security.
13. A Comprehensive Review of Investigations of Suspects of Cyber Crimes.
14. Fault Analysis Techniques in Lightweight Ciphers for IoT Devices.
