SITAIBA 2025: 2025 International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications
Nov. 20-Nov. 22, 2025
Chihlee University of Technology, New Taipei City, Taiwan.
The 2025 International Conference on Security and Information Technologies with AI, Internet Computing, and Big-data Applications (SITAIBA'25) will take place at Chihlee University of Technology, located in New Taipei City, Taiwan, from November 20 to 22, 2025. SITAIBA'25 promises to be a premier platform, bringing together researchers, engineers, academicians, and industry professionals from around the globe. Attendees will have the opportunity to present their latest research findings and innovative developments in the fields of Security and Information Technologies, AI, Internet Computing, and Big-data Applications. The conference aims to foster international academic collaboration, enhance communications, and facilitate the exchange of groundbreaking ideas. Our SITAIBA series was published in SPRINGER NATURE, 2021 and 2023, respectively AT “Smart Innovation, Systems and Technologies (SIST),” indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SCImago, DBLP. Following up the credit proceedings books, our SITAIBA 2025 is now applying for SPRINGER book publication with SIST.
Program Session Overview: To Be Announced
Important Dates:
- Paper Submission Deadline: August 29, 2025
- Paper Notification Date: September 29, 2025
- Poster Submission Deadline: September 26, 2025
- Poster Notification Date: October 2, 2025
- Camera-ready/Early Registration Deadline: October 15, 2025
- Conference Date: November 20 – November 22, 2025
Paper Submission:
TOPICS include, but are not limited to:
- Information Security
- AI and Deep Learning Applications
- Information processing
- Cyber-security and Evidence Investigations
- Information Hiding and Cryptography
- AI-Powered Cybersecurity & Threat Defense
- AI Supply Chain Security
- LLM Security & Prompt Injection Defense
- Deepfake & AI Fraud Detection
- Privacy-Preserving AI & Differential Privacy
- Quantum AI Security