1–31 May 2027 · New York, US

IEEE Bigdatasecurity 2026

IEEE BigDataSecurity 2026 is the 12th IEEE International Conference on Big Data Security on Cloud, addressing security and privacy for big data storage, transmission, and processing and featuring a second focus on security and robustness in artificial intelligence. It covers topics such as robust and secure deep learning/machine learning, multi-party computation, edge/fog computing, cloud models and heterogeneous architectures, resource allocation, tele-health, multimedia, and QoS. The event is organized by the IEEE Computer Society and will be held as a hybrid conference, encouraging on-site participation.

Last updated

Dates
1–31 May 2027
Venue
Fordham University, Leon Lowenstein Building
Location
New York, US
Frequency
Annual
Audience
Mixed
Duration
31 days
Scale
International
TelecommunicationsIT & Software

Compiled from public sources and periodically reviewed and updated. This information is provided for general guidance only and may be incomplete or out of date — please verify all details directly with the organizer or venue before relying on them.

About IEEE Bigdatasecurity 2026

IEEE Bigdatasecurity 2026 is an international trade show in New York, United States for the Telecommunications and IT & Software industries. The 2027 edition runs 1–31 May 2027 at Fordham University, Leon Lowenstein Building.

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Frequently asked questions

When is IEEE Bigdatasecurity 2026 2027?
IEEE Bigdatasecurity 2026 2027 runs 1–31 May 2027 at Fordham University, Leon Lowenstein Building.
Where is IEEE Bigdatasecurity 2026 held?
IEEE Bigdatasecurity 2026 is held at Fordham University, Leon Lowenstein Building in New York, United States.
Is IEEE Bigdatasecurity 2026 worth attending?
IEEE Bigdatasecurity 2026 is an international trade show for the Telecommunications and IT & Software industries, so it is most relevant to exhibitors and buyers in those industries. Whether it is worth attending depends on your objectives, but its scale and sector focus are a useful guide.

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