International Conference on

Blockchain and Big Data Forensics in Cybersecurity (ICBBD-FC-26)

3rd – 4th Oct 2026 | Istanbul, Turkey | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Innovations in Blockchain Forensics

This track focuses on the latest advancements in blockchain forensics, exploring methodologies for tracing transactions and identifying illicit activities. Researchers are invited to present novel approaches that enhance the transparency and accountability of blockchain systems.

Track 02

Cybersecurity Strategies in Big Data Environments

This session will delve into effective cybersecurity strategies tailored for big data environments, emphasizing the unique challenges posed by large-scale data processing. Contributions should highlight innovative techniques for safeguarding data integrity and confidentiality.

Track 03

Anomaly Detection Techniques in Cybersecurity

This track invites papers that investigate advanced anomaly detection techniques within cybersecurity frameworks. Emphasis will be placed on machine learning and artificial intelligence applications that enhance threat identification and response.

Track 04

Blockchain Frameworks for Secure Systems

This session will explore various blockchain frameworks designed to bolster the security of digital systems. Participants are encouraged to present case studies and theoretical models that demonstrate the efficacy of these frameworks in real-world applications.

Track 05

Incident Response and Threat Detection Mechanisms

This track addresses the critical components of incident response and threat detection in the context of blockchain and big data. Papers should focus on innovative methodologies that improve the speed and accuracy of incident response efforts.

Track 06

Governance and Compliance in Blockchain Systems

This session will examine the governance frameworks and compliance standards necessary for effective blockchain implementation. Researchers are invited to discuss the implications of regulatory requirements on blockchain technology and its applications.

Track 07

Data Privacy and Security Standards in Big Data

This track focuses on the intersection of data privacy and security standards within big data ecosystems. Contributions should address the challenges and solutions for maintaining privacy while ensuring robust security measures.

Track 08

Resilience of Blockchain Technologies

This session will explore the resilience of blockchain technologies against various cyber threats. Papers should present empirical studies or theoretical analyses that demonstrate the robustness of blockchain systems in adverse conditions.

Track 09

Encryption and Authentication in Cybersecurity

This track invites discussions on the role of encryption and authentication mechanisms in enhancing cybersecurity measures. Researchers are encouraged to present innovative solutions that address vulnerabilities in existing systems.

Track 10

Access Control and Identity Management in Blockchain

This session will focus on access control and identity management solutions within blockchain environments. Contributions should explore how blockchain can enhance identity verification processes while maintaining user privacy.

Track 11

Risk Management in Blockchain and Big Data Applications

This track addresses the critical aspects of risk management in the deployment of blockchain and big data technologies. Papers should provide insights into risk assessment methodologies and strategies for mitigating potential threats.

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