Many novel techniques and applications are invented based on the rapid development of big data. Today, some aspects for both scientific research and people’s daily life have been influenced by big data based technology such as artificial intelligence, cloud computing, and Internet of Things. Providing security and privacy for big data storage, transmission, and processing have been attracting much attention in all big data related areas. IEEE Bigdatasecurity 2026 addresses this domain and aims to gather recent academic achievements in this field.

Security and robustness on Artificial Intelligence is the second concentration of IEEE Bigdatasecurity 2026. The emerging needs for building reliable and robust AI models in Big Data and Cloud environments with security and privacy guaranteed have attracted attention from a number of different perspectives. The new methods deployed in Big Data and Cloud environment have covered distinct dimensions, such as robust deep learning, secure deep learning/machine learning, multi-party computing, edge/fog computing, energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc.

IEEE Bigdatasecurity 2026 is the next event after a series of successful academic get-togethers, including BigDataSecurity 2025 (New York, USA), BigDataSecurity 2024 (New York, USA), BigDataSecurity 2023 (New York, USA), BigDataSecurity 2022 (Jinan, China), BigDataSecurity 2021 (New York, USA), BigDataSecurity 2020 (Baltimore, USA), BigDataSecurity 2019 (Washington, DC, USA), BigDataSecurity 2018 (Omaha, NE, USA), BigDataSecurity 2017 (New York, USA) , BigDataSecurity 2016 (Beijing, China), and BigDataSecurity 2015 (New York, USA).

Topics of particular interest include, but are not limited to:

Artificial intelligence security
Novel big data security issues
Novel big data privacy issues
Blockchain-based security mechanism
Blockchain-based big data sharing
Security and privacy issues in blockchain
Big data security issues in IoT
Big data security issues in cloud computing
Big data privacy in cloud computing
Big data storage, integration, service, mining
Virtualization for big data on cloud
MapReduce with cloud for big data processing
Heterogeneous architecture for cloud computing
Dynamic resource sharing algorithm for cloud computing
Load balance for cloud computing
Mobile cloud computing
Mobile commerce security and privacy
Green cloud computing
Embedded system security
Cyber Security in emergent technologies
Cyber hacking, next generation fire wall
Cyber monitoring, incident response
Database security, data center security
Cyber threat intelligence
Sensor network security in cloud computing
Security policy and legal considerations
Cloud and networking security
Cloud computing and networking models