The organizing committee of the CAIS conference, organized by Al-Mansour University College in Baghdad, is pleased to invite academics, researchers and practitioners from all over the world to participate by submitting their scientific research. This conference will be held on September 23-24, 2026 at the Al Mansour Melia Hotel, in the center of the Iraqi capital, Baghdad, on the banks of the Tigris River, where the event brings together thought leaders and experts in the fields of artificial intelligence and cybersecurity. It provides a distinguished academic and professional platform that brings together researchers, academics, industry experts, and practitioners from around the world to exchange ideas, present original research, and discuss emerging trends in artificial intelligence and cybersecurity. The conference emphasizes both theoretical foundations and practical applications, with a strong focus on cutting-edge research, real-world deployment, and policy implications, aiming to foster innovation, interdisciplinary collaboration, and the development of robust, intelligent, and secure digital systems.

Participants will have the opportunity to engage in high-level technical discussions, build professional networks, and explore future research directions. The conference welcomes high-quality, original contributions that have not been previously published and are not under consideration elsewhere. All accepted papers will be published in the official conference proceedings and submitted for indexing in reputable academic databases, subject to publisher policies.

Technical Tracks and Topics of Interest

CAIS 2026 is organized around two primary technical tracks. Submissions are welcomed in, but not limited to, the following areas:

Track 1:

Cryptography

Key management
Public key (asymmetric) techniques
Symmetric cryptography and hash functions
Cryptanalysis and other attacks
Information-theoretic techniques
Mathematical foundations of cryptography

Formal methods and theory of security

Trust frameworks
Security requirements
Formal security models
Logic and verification

Security services

Authentication
Access control
Pseudonymity, anonymity and untraceability
Privacy-preserving protocols
Digital rights management
Authorization

Intrusion/anomaly detection and malware mitigation

Malware and its mitigation
Intrusion detection systems
Social engineering attacks

Security in hardware

Tamper-proof and tamper-resistant designs
Embedded systems security
Hardware security implementation
Hardware attacks and countermeasures
Hardware reverse engineering

Systems security

Operating systems security
Browser security
Distributed systems security
Information flow control
Denial-of-service attacks
Firewalls
Vulnerability management
File system security

Network security

Security protocols
Web protocol security
Mobile and wireless security
Denial-of-service attacks
Firewalls

Database and storage security

Data anonymization and sanitization
Management and querying of encrypted data
Information accountability and usage control
Database activity monitoring

Software and application security

Software security engineering
Web application security
Social network security and privacy
Domain-specific security and privacy architectures
Software reverse engineering

Track 2:

Artificial intelligence

Natural language processing
Knowledge representation and reasoning
Planning and scheduling
Search methodologies
Control methods
Philosophical/theoretical foundations of artificial intelligence
Distributed artificial intelligence
Computer vision

Machine learning

Learning paradigms
Learning settings
Machine learning approaches
Machine learning algorithms
Cross-validation

Important Dates

• Opening of Paper Submissions: January 4, 2026
• Paper Submission Deadline: March 20, 2026
• Notification of Acceptance: May 29, 2026
• Conference Dates: September 23–24, 2026

Why Participate in CAIS 2026?

• Present your work to an international scientific audience.
• Network with leading experts and professionals.
• Exchange ideas and establish future collaborations.
• Gain exposure to cutting-edge research trends.
• Contribute to shaping the future of AI-driven secure systems.