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Hybrid Event

4th - 5th July 2026 | Kyoto, Japan

International Conference on Cryptography in Artificial Intelligence Systems (ICCAIS - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 9 — Industry, Innovation and Infrastructure
SDG 16 — Peace, Justice and Strong Institutions
Explore All Session Tracks
Track 01
Foundations of Cryptographic Algorithms

This track focuses on the mathematical principles underlying cryptographic algorithms. It aims to explore new theoretical frameworks and optimizations that enhance the security and efficiency of encryption methods.

Track 02
Machine Learning in Cryptography

This session examines the integration of machine learning techniques in the development of cryptographic systems. It will highlight innovative approaches that leverage AI for improving encryption and decryption processes.

Track 03
Neural Networks for Secure Data Transmission

This track investigates the application of neural networks in ensuring secure data transmission. It will cover methodologies that utilize deep learning to enhance the robustness of communication protocols against cyber threats.

Track 04
Privacy Preservation Techniques in AI Systems

This session focuses on methodologies for preserving privacy in artificial intelligence applications. It will explore cryptographic techniques that safeguard sensitive data while enabling effective AI model training.

Track 05
Access Control Mechanisms in Cryptographic Systems

This track delves into the design and implementation of access control mechanisms within cryptographic frameworks. It will emphasize the importance of secure access protocols in protecting sensitive information.

Track 06
Cybersecurity Threat Detection Using AI

This session explores the role of artificial intelligence in detecting and mitigating cybersecurity threats. It will focus on the development of advanced algorithms that enhance threat detection capabilities in cryptographic systems.

Track 07
Big Data Analytics for Cryptographic Security

This track examines the intersection of big data analytics and cryptographic security. It aims to highlight how large-scale data processing can inform and strengthen encryption strategies.

Track 08
Optimization Techniques in Cryptographic Algorithms

This session focuses on optimization strategies for enhancing the performance of cryptographic algorithms. It will cover both theoretical and practical approaches to improving efficiency without compromising security.

Track 09
Secure Systems Design in AI Applications

This track investigates the design of secure systems within the context of artificial intelligence applications. It will address the challenges and solutions for integrating robust security measures in AI-driven environments.

Track 10
Applied Mathematics in Cryptographic Research

This session highlights the role of applied mathematics in advancing cryptographic research. It will feature contributions that utilize mathematical models to solve complex problems in encryption and data security.

Track 11
Emerging Trends in Cryptography and AI

This track explores the latest trends and innovations at the intersection of cryptography and artificial intelligence. It aims to foster discussions on future directions and potential breakthroughs in secure AI systems.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.