Registration summary
ConferenceICBDAMLITS
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICBDAMLITS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Big Data Analytics +
This track focuses on the latest methodologies and technologies in big data analytics. Researchers are invited to present innovative approaches that enhance data processing and interpretation in various domains.
02 Machine Learning Techniques for IT Security +
This session explores the application of machine learning algorithms in enhancing IT security measures. Contributions should address novel techniques that improve threat detection and response capabilities.
03 Predictive Analytics in Cybersecurity +
This track emphasizes the role of predictive analytics in anticipating and mitigating cybersecurity threats. Papers should discuss frameworks and models that leverage historical data for proactive security measures.
04 Intelligent Systems for Data Protection +
This session highlights the development of intelligent systems aimed at safeguarding sensitive information. Submissions should explore AI-driven solutions that enhance data protection strategies.
05 Cloud Computing and Security Challenges +
This track addresses the security implications of cloud computing in the context of big data. Researchers are encouraged to present solutions that tackle vulnerabilities and enhance data integrity in cloud environments.
06 Data Encryption Techniques for IT Security +
This session focuses on innovative encryption methods that secure data in transit and at rest. Contributions should highlight advancements in cryptographic algorithms and their practical applications.
07 Data Integration and Automation in IT Systems +
This track examines the challenges and solutions related to data integration and automation within IT infrastructures. Papers should discuss frameworks that streamline data workflows and enhance operational efficiency.
08 Optimization of Machine Learning Models +
This session explores strategies for optimizing machine learning models for better performance in IT security applications. Researchers are invited to share techniques that improve accuracy and reduce computational costs.
09 Frameworks for Big Data Analytics in Security +
This track focuses on the development and evaluation of analytical frameworks tailored for security applications. Submissions should present case studies demonstrating the effectiveness of these frameworks in real-world scenarios.
10 AI Algorithms in Cyber Threat Intelligence +
This session investigates the use of AI algorithms in generating actionable cyber threat intelligence. Papers should explore methodologies that enhance the detection and analysis of emerging threats.
11 Future Trends in IT Security and Machine Learning +
This track anticipates future developments at the intersection of IT security and machine learning. Researchers are encouraged to propose visionary concepts and research directions that could shape the future landscape.
