Functioning Media Research Interests
Research Subject - Network Security and Cybersecurity in Web-Based Systems
Research Topics
Threat Detection and Intrusion Detection Systems (IDS)
Anomaly-Based and Signature-Based Detection Techniques
DDoS Attack Analysis and Mitigation
Malware and Ransomware Detection
AI and Machine Learning for Network Security
Secure Network Protocols and Authentication
Encryption and Secure Key Management
IoT, Cloud, and Edge Security
Core Focus
The core focus of this research is to understand, evaluate, and apply modern network security practices that protect web applications and digital platforms. Emphasis is placed on proactive threat detection, data protection, system availability, and secure communication within web-based environments.
Technical Overview
The research involves studying intrusion detection mechanisms, including both signature-based and anomaly-based models, to identify malicious network behavior. Attack analysis focuses on high-impact threats such as DDoS attacks and malware infiltration. AI and machine learning techniques are explored to enhance detection accuracy and adaptability through traffic pattern analysis. Secure routing, authentication mechanisms, and encryption techniques are examined to ensure confidentiality and integrity of data. Additional focus is placed on IoT and cloud environments, where distributed architectures introduce new security challenges.
Conclusion
Network security is a critical component of modern web systems. Through structured research, testing, and technical evaluation, this work highlights the importance of integrating security measures into web development processes. A strong focus on detection, prevention, and data protection ensures resilient, trustworthy, and future-ready digital platforms.
