TOPICS

The Conference topics can be identified by, but are not limited to, the following subjects:

• 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, namely on 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

up