In current era, the intelligent systems are widely deployed and investigated in many domains from the governments to industry players, from academics to consumer level demand. Therefore, the research on Intelligent data and security (IDS) is getting more and more attention due to the rapid development of computing and communication techniques. As a promising technology, high performance computing is playing an important role not only in traditional computer science domain but also in new branches such as Internet of Things, unmanned vehicles, and topics in artificial intelligent. Smart computing, as another significant aspect, provides solutions for complicated computing problems.

The 11th IEEE International Conference on Intelligent Data and Security (IEEE IDS 2025) is a research event cooperated with a number of conferences, such as IEEE BigDataSecurity 2025 and IEEE HPSC 2025. This conference provides engineers and scientists in computing domain with an academic forum in which the new research achievements, ideas, and results are shared. The state-of-the-art smart computing applications and experiences in cloud computing and smart computing will be represented in this academic event. IEEE IDS 2025 is the next edition of a series of successful academic events, including IDS 2016 (New York, USA), IDS 2017 (Beijing, China), IDS 2018 (Omaha, USA), IDS 2019 (Washington DC, USA), IDS 2020 (Baltimore, USA), IDS 2021 (New York, USA), IDS 2022 (Jinan, China), IDS 2023 (New York, USA), and IDS 2024 (New York, USA).

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

    Security in new paradigms of intelligent data
    Cyber hacking, next generation fire wall of intelligent data
    Cyber monitoring and incident response in intelligent data
    Digital forensics in intelligent data
    Big data security, Database security
    Intelligent database and security
    Intelligent data mining in security, optimization, and cloud computing
    Social engineering, insider threats, advance spear phishing
    Cyber threat intelligence and implementations
    Security and fault tolerance for embedded or ubiquitous systems
    Cloud-based intelligent data and security issues
    Tele-health security in intelligent data
    Sensor network security and solutions
    Embedded networks and sensor network optimizations
    Cloud computing and networking models
    Heterogeneous architecture for cloud-based intelligent data
    Dynamic resource sharing algorithm for cloud-based intelligent data
    Load balance for cloud-based intelligent data
    Cloud-based audio/video streaming techniques
    MapReduce techniques in intelligent data
    Visualization and optimization in intelligent data
    Cloud-based real-time multimedia techniques in intelligent data
    Mobile cloud computing and advanced applications
    Green cloud computing model, implementation, and framework
    Quality of Service (QoS) improvements techniques
    Case studies for various applications
    Cyber Security in emergent technologies, infrastructures and applications