Flex Conference (Physical / Digital)

International Conference on Cybersecurity Threat Modeling and IT Systems Engineering - (ICTMITS-27)

9th - 10th April 2027 , San Diego - USA

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Call For Papers

The (ICTMITS-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Artificial Intelligence, Cybersecurity, Software Engineering, Information Technology are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Cyber Threat Modeling Techniques
  • Risk Assessment in IT Systems Engineering
  • Vulnerability Management in Cybersecurity
  • Case Studies in Cybersecurity Threats
  • Integrating Threat Modeling into Development
  • Cybersecurity Frameworks for IT Systems
  • Automated Threat Detection Systems
  • User-Centric Security Design Principles
  • Emerging Technologies in Threat Modeling
  • Collaboration in Cybersecurity Research
  • Threat Intelligence and Information Sharing
  • Security Metrics for IT Systems
  • Incident Response Planning and Execution
  • Privacy Considerations in Threat Modeling
  • AI in Cybersecurity Threat Detection
  • Behavioral Analysis for Threat Identification
  • Cloud Security Threat Modeling Approaches
  • Regulatory Compliance in Cybersecurity
  • Education and Training in Cybersecurity
  • Future Trends in Cybersecurity Engineering

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.