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International Conference on Cybersecurity and Big Data

30th Sep – 1st Oct 2026 Stockholm, Sweden Standard / Physical Participation

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ConferenceICCBD

ModeStandard / Physical

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Cybersecurity and Big Data conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 16 - Peace, Justice and Strong Institutions

This track focuses on the integration of artificial intelligence in enhancing cybersecurity measures. It will explore innovative AI techniques for threat detection and response in big data environments.

This session will delve into the latest strategies for ensuring data privacy in the age of big data. Participants will discuss encryption methods and compliance frameworks that safeguard sensitive information.

This track examines the role of machine learning algorithms in identifying and mitigating cybersecurity threats. Case studies will highlight successful implementations in various sectors.

This session will explore the use of predictive analytics to assess and manage cybersecurity risks. Attendees will learn about tools and methodologies that enhance proactive security measures.

This track focuses on the principles of designing secure systems in the context of big data. Discussions will include best practices for system optimization and resilience against cyber threats.

This session will address the complexities of compliance with data protection regulations in big data environments. Experts will share insights on navigating legal frameworks and ensuring adherence.

This track will investigate the development of intelligent systems that autonomously enhance data security. Participants will discuss the implications of these systems on traditional security models.

This session will focus on effective risk management strategies tailored for cybersecurity in big data contexts. Attendees will explore frameworks for identifying, assessing, and mitigating risks.

This track will cover the application of data analytics in generating actionable cyber threat intelligence. Participants will discuss methodologies for analyzing large datasets to uncover potential threats.

This session will explore advanced encryption techniques specifically designed for big data environments. Discussions will include the trade-offs between security, performance, and usability.

This track will examine emerging trends and technologies that will shape the future of cybersecurity in relation to big data. Experts will provide insights into anticipated challenges and opportunities.