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ICBDSML · Registering as Listener

International Conference on Big Data Security and Machine Learning

31 Oct - 1 Nov 2026 Vanadzor, Armenia Standard / Physical Participation
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$125
virtual · $155 in person
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Registration summary

ConferenceICBDSML
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICBDSML conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure SDG 12 - Responsible Consumption and Production SDG 16 - Peace, Justice and Strong Institutions SDG 17 - Partnerships for the Goals
01 Advancements in Big Data Security +
This track focuses on the latest methodologies and technologies for enhancing security in big data environments. Researchers are invited to present their findings on data protection mechanisms and frameworks that address emerging threats.
02 Machine Learning Techniques for Cybersecurity +
This session explores the application of machine learning algorithms in identifying and mitigating cybersecurity threats. Papers should discuss innovative approaches that leverage AI to enhance security protocols and threat detection.
03 Predictive Analytics in IT Risk Management +
This track examines the role of predictive analytics in assessing and managing IT risks. Contributions should highlight case studies and frameworks that utilize data-driven insights for proactive risk mitigation.
04 Data Governance and Compliance in Big Data +
This session addresses the challenges and best practices of data governance in the context of big data. Submissions should focus on compliance strategies that ensure data integrity and security.
05 Scalable Computing Solutions for Big Data +
This track investigates scalable computing architectures and technologies that facilitate the processing of large datasets. Researchers are encouraged to present innovative solutions that optimize performance and resource utilization.
06 AI Algorithms for Intelligent Systems +
This session delves into the development and application of AI algorithms in creating intelligent systems. Papers should explore novel approaches that enhance decision-making and automation through machine learning.
07 Data Encryption Techniques for Enhanced Security +
This track focuses on the latest advancements in data encryption methods to safeguard sensitive information. Researchers are invited to discuss the effectiveness and applicability of various encryption techniques in big data contexts.
08 Cloud Computing and Data Protection Strategies +
This session explores the intersection of cloud computing and data protection, emphasizing strategies to secure data in cloud environments. Contributions should address challenges and solutions related to data privacy and security in the cloud.
09 Intelligent Systems for Data Analytics +
This track highlights the integration of intelligent systems in the field of data analytics. Researchers are encouraged to present innovative applications that enhance data interpretation and decision-making processes.
10 Emerging Trends in IT Infrastructure Security +
This session examines the evolving landscape of IT infrastructure security in the context of big data and machine learning. Papers should focus on emerging trends, challenges, and solutions for securing IT environments.
11 Collaborative Approaches to Big Data Challenges +
This track encourages discussions on collaborative frameworks and partnerships that address the challenges of big data security and machine learning. Contributions should highlight interdisciplinary approaches and shared solutions.