International Conference on Computational Intelligence in Security Information Systems ICCISIS on December 20-21, 2026 in Honolulu, United States

Machine Learning for Data Mining
Data Mining Methods for Security
Agent and Multi-Agent Systems
Hybrid Systems
Unsupervised Learning
Classification Methods
Novelty Detection

Intrusion Detection Systems
Log Correlation Methods
Adaptive Defense of Network Infrastucture
Adaptive Reasoning
Information Forensics

Document Classification and Processing
Ontologies and Conceptual Information Processing
Semantic Information Representation
Natural Language Acquisition
Web Semantics in Intelligence and Law-Enforcement

Industrial and Commercial Applications of Intelligent Methods for Security
Intelligent Control and Monitoring of Critical Systems
Dynamic Adaptive Railway Operation
Centralized Control Systems
Adaptive Planning for Strategic Reasoning

Intelligent Methods in Energy and Transportation
Planning and Automated Reasoning in Large System Control

Biometric Identification and Recognition
Biometric Surveillance
Biometric Access Control
Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)

Cryptography
Applied Cryptography and provably-secure cryptographic protocols
Design and analysis of efficient cryptographic primitives:
public-key and symmetric-key cryptosystems, block ciphers, and hash functions
Economic fraud on the Internet: phishing, pharming, spam, and click fraud
Email and web security
Intellectual property protection:
metering, watermarking, and digital rights management.

Computer Science & HPC and Grid computing issues
Computational Sciences, with requirements in HPC and Grid
Computational Engineering with a similar focus.
Grid Middleware, Grid Computing, Data and Networking Infrastructures
Distributed and Large-Scale Data Access and Management
Data Repositories, Distributed Resource Management and Scheduling
Supercomputer/cluster/grid integration issues
Grid Performance Evaluation, QoS and SLA Negotiation
Grid and HPC Applications, including e-Science in general and also Science Gateways, Nanomaterials, High Energy Physics, e-Health, e-Business, e-Administration, Life Sciences, Earth Sciences, Civil Protection, Computational Sciences and Engineering,
User Development Environments and Programming Tools for Grid Computing.

Infrastructure as a service (IaaS)
Virtualization in data centers
Virtualization for resource management and QoS assurance
Security aspects of using virtualization in a distributed environment
Virtual networks
Virtual data, storage as a service
Fault tolerance in virtualized environments
Virtualization in P2P systems
Virtualization-based adaptive/autonomic systems
The creation and management of environments/appliances
Virtualization technologies
Performance modeling (applications and systems)
Virtualization techniques for energy/thermal management
Case studies of applications on IaaS platforms
Deployment studies of virtualization technologies
Tools relevant to virtualization