7^th International Conference on Big Data, Blockchain and Security (BDBS 2026)

April 25 ~ 26, 2026, Copenhagen, Denmark

Hybrid -- Registered authors can present their work online or face to face.

Scope & Topics

7^th International Conference on Big Data, Blockchain and Security (BDBS 2026) serves as a global forum for presenting cutting edge research, innovative methodologies, and emerging technologies across the rapidly evolving domains of Big Data, Blockchain, and Cybersecurity. As data driven systems, decentralized technologies, and intelligent infrastructures continue to transform industries, BDBS 2026 brings together researchers, practitioners, and industry leaders to explore the latest breakthroughs, address pressing challenges, and shape the future of secure and scalable digital ecosystems.

7th International Conference on Big Data, Blockchain and Security (BDBS 2026) aims to foster rich interdisciplinary dialogue by bridging foundational theory with real world applications. It provides a platform for exchanging insights on next generation data systems, AI driven analytics, decentralized architectures, privacy enhancing technologies, and the security frameworks required to support them. With an expanded focus on emerging areas such as Web3, federated intelligence, trustworthy AI, and quantum resilient security, BDBS 2026 reflects the dynamic landscape of modern computing and its societal impact.

Authors are invited to submit original research articles, case studies, survey papers, and industrial experiences that demonstrate significant advances across the conference tracks. Submissions may address, but are not limited to, the topics outlined below.

Topics of interest include, but are not limited to, the following

Big Data Foundations, Systems & Infrastructure

• Big Data Infrastructure, Platforms & Distributed Systems
  
• Data Lakes, Lakehouses & Modern Data Architectures
  
• High Performance Computing for Big Data
  
• Cloud, Edge, Fog & 5G/6G enabled Data Systems
  
• Data Governance, Quality, Provenance & Lifecycle Management
  
• Real Time Stream Processing & Event Driven Architectures
  
  Data Science, AI & Machine Learning at Scale
  
• Large Language Models (LLMs) & Foundation Models
  
• Distributed, Federated & Privacy Preserving ML
  
• Trustworthy AI: Fairness, Explainability, Accountability
  
• ML Security: Poisoning, Evasion, Model Extraction
  
• AI for Cybersecurity & Threat Intelligence
  
• Social Media Analytics, Misinformation & Digital Sociology
  
  Big Data Applications & Domain Driven Innovation
  
• Bioinformatics, Genomics & Precision Medicine
  
• Smart Cities, IoT & Cyber Physical Systems
  
• Financial Analytics, Fraud Detection & Risk Modeling
  
• Multimedia, Vision & Sensor Data Processing
  
• Climate Informatics & Environmental Data Systems
  
• Industrial, Healthcare & Government Data Applications
  
  Blockchain, Web 3 & Decentralized Technologies
  
• Blockchain Foundations, Consensus & Protocol Engineering
  
• Smart Contracts, DApps & Web3 Architectures
  
• Zero Knowledge Proofs, MPC & Cryptographic Primitives
  
• Blockchain Interoperability & Cross Chain Systems
  
• DeFi, Tokenomics & Digital Asset Ecosystems
  
• Blockchain for Supply Chain, Healthcare & Public Sector
  
• Blockchain based Digital Forensics & Evidence Management
  
  Cybersecurity, Privacy & Trust
  
• Network, Wireless, IoT & Mobile Security
  
• Cloud, Edge & Virtualization Security
  
• Zero Trust Architectures & Identity Management
  
• Malware, Ransomware & APT Detection
  
• Intrusion Detection, Threat Hunting & Security Analytics
  
• Privacy Enhancing Technologies (PETs)
  
• Post Quantum Cryptography & Quantum Safe Security
  
  Emerging Technologies, Ethics & Societal Impact
  
• AI Generated Content (AIGC) Security & Deepfake Detection
  
• Security & Privacy in Metaverse, AR/VR & Digital Twins
  
• Digital Sovereignty, Data Localization & Global Regulation
  
• Ethical, Legal & Societal Implications of Big Data & Blockchain
  
• Responsible Innovation & Human Centered Security
  
  Benchmarking, Evaluation & Case Studies
  
• Performance Evaluation of Protocols & Systems
  
• Reproducibility Studies & Open Datasets
  
• Industrial Case Studies & Technology Demonstrations
  

Paper Submission

Authors are invited to submit papers through the conference Submission System by April 18, 2026(Final Call) . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from BDBS 2026, after further revisions, will be published in the special issues of the following journals.

• International Journal of Network Security & Its Applications (IJNSA)
  
• International Journal of Data Mining & Knowledge Management Process (IJDKP)
  
• International Journal of Database Management Systems (IJDMS)
  
• International Journal of Security, Privacy and Trust Management (IJSPTM)
  
• Information Technology in Industry (ITII)
  

Important Dates

Co - Located Event

• 18^th International Conference on Networks & Communications (NeCoM 2026)
  
• 15^th International Conference on Control, Modelling, Computing and Applications (CMCA 2026)
  
• 15^th International Conference on Software Engineering and Applications (SEAS 2026)
  
• 12^th International Conference on Computer Science, Information Technology (CSITEC 2026)
  
• 12^th International Conference on Signal Processing (SP 2026)
  
• 13^th International Conference on Advanced Computing (ADCO 2026)
  
• 7^th International Conference on Data Mining & Machine Learning (DMML 2026)
  
• 7^th International Conference on NLP & Information Retrieval (NLPI 2026)

***** The invited talk proposals can be submitted to bdbs@bdbs2026.org