Conference Information

IDS 2026: IEEE International Conference on Intelligent Data and Security

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Submission Date:
2026-01-15
Notification Date:
2026-03-01
Conference Date:
2026-05-08
Location:
New York City, New York, USA
Years:
12
Viewed: 29159   Tracked: 7   Attend: 2

Call For Papers

IDS 2026 (IEEE International Conference on Intelligent Data and Security) is an academic conference held in New York City, New York, USA on 2026-05-08. The paper submission deadline is 2026-01-15. Acceptance notifications are sent on 2026-03-01.

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 12th IEEE International Conference on Intelligent Data and Security (IEEE IDS 2026) is a research event cooperated with a number of conferences, such as IEEE BigDataSecurity 2026 and IEEE HPSC 2026. 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 2026 is the next edition of a series of successful academic events, including IDS 2019 (Washington DC, USA), IDS 2020 (Baltimore, USA), IDS 2021 (New York, USA), IDS 2022 (Jinan, China), IDS 2023 (New York, USA), IDS 2024 (New York, USA) and IDS 2025 (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
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