Flex Conference (Physical / Digital)

International Conference on Big Data Analytics and Machine Learning for IT Security - (ICBDAMLITS-26)

17th - 18th October 2026 , Sao Tome - Sao Tome and Principe

Listener Participation Present at Conference
Registration Options →

Access Flexible Participation Categories

Call For Papers

The (ICBDAMLITS-26) 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 Big Data,Machine Learning,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:

  • Big data analytics for cybersecurity
  • Machine learning in threat detection
  • AI-driven security solutions
  • Data privacy in big data analytics
  • Real-time security monitoring systems
  • Big data for incident response
  • Machine learning for vulnerability assessment
  • Data protection strategies for analytics
  • AI applications in security analytics
  • Big data in fraud prevention
  • Challenges in IT security analytics
  • Predictive analytics for security threats
  • Machine learning for data breach detection
  • Big data compliance and security
  • Data governance in security analytics
  • AI for risk management in security
  • Big data analytics for compliance
  • Machine learning for network security
  • Future of big data in cybersecurity
  • Innovative security solutions using big data

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.

Submit Your Research Work Register Now