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


19th - 20th September, 2026 | Rio de Janeiro, Brazil

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

20th August, 2026

Paper Submission Deadline

25th August, 2026

Last Date Of Registration

4th September, 2026

Date Of Conference

19th - 20th September, 2026

Downloads

Call for Papers

The (ICBDAMLITS-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.