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 2025 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 2025. 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 2025 is the next event after a series of successful academic get-togethers, including 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