World Forum on Cybersecurity, Machine Learning, and Intelligent Systems (WFCMLS-2026)

About Conference:

The World Forum on Cybersecurity, Machine Learning, and Intelligent Systems (WFCMLS-2026) is a global forum designed to address the growing challenges and opportunities at the intersection of cybersecurity and intelligent technologies. As cyber threats become more complex and adaptive, WFCMLS-2026 provides a collaborative platform for cybersecurity experts, AI researchers, system architects, industry leaders, and policymakers to exchange ideas and present advanced solutions for secure, intelligent, and resilient digital infrastructures.

Scope:

The forum focuses on AI-driven cybersecurity solutions, intelligent threat detection, secure machine learning models, privacy-preserving technologies, and governance frameworks. It also addresses regulatory, ethical, and legal considerations in deploying intelligent security systems across enterprise, government, and critical infrastructure environments.



Topics:

The conference invites high-quality submissions on topics including, but not limited to:

Cybersecurity, Machine Learning, and Intelligent Systems
  • Cybersecurity Architecture and Secure System Design
  • Network and Information Security
  • AI-Based Cyber Threat Intelligence
  • Intelligent Intrusion Detection and Prevention Systems
  • Malware, Ransomware, and Advanced Persistent Threats
  • Phishing and Social Engineering Detection
  • Zero Trust Security Models
  • Identity and Access Management
  • Secure Authentication and Authorization
  • Adversarial Machine Learning
  • Secure and Trustworthy AI Models
  • Privacy-Preserving and Federated Learning
  • Blockchain for Cybersecurity
  • Cryptography and Post-Quantum Security
  • Cloud and Multi-Cloud Security
  • IoT and Edge Security
  • Secure Software and Application Security
  • Vulnerability Assessment and Penetration Testing
  • Digital Forensics and Incident Response
  • Cyber Risk Assessment and Management
  • Security Automation and Orchestration
  • Compliance, Regulations, and Cyber Law
  • Ethical Issues in Cybersecurity
  • AI for Fraud Detection
  • Critical Infrastructure and National Security

Indexed By:

google scholar
DoI
wos