For 2016, a special emphasis will be put on “Secure and Trustworthy Cloud, Big Data, and Data-Intensive Applications”. The following themes to be addressed by novel research have been identified:

TRUST, SECURITY, PRIVACY AND RISK MANAGEMENT

• Assurance Techniques

• Access Control, Authorization, and Authentication

• Big data security and privacy

• Cloud Computing with Autonomic and Trusted Environment

• Cryptographic Algorithms and Protocols

• Cyber Attack, Crime and Cyber War

• DRM, Watermarking Technology, IP Protection

• Emergency and Security Systems

• End-to-end security over complex cloud supply chain

• Forensics

• Human Interaction with Trusted and Autonomic Computing Systems

• Identity and Trust Management

• Multimedia Security Issues over Mobile and Wireless Clouds

• Network Security

• Networks of Trust, Clouds of Trust

• Privacy, Anonymity

• Privilege Management Infrastructure

• Reliable Computing and Trusted Computing

• Risk evaluation and Management

• Security, Dependability and Autonomic Issues in Ubiquitous Computing

• Security Models and Quantifications

• Self-protection and Intrusion-detection in Security

• Trust Evaluation and Prediction in Service-Oriented Environments

• Trust, Security, Privacy and Confidentiality

• Trust in big data analytics

• Trusted Computing in virtualized environments

• Trusted P2P, Web Service, SoA, SaaS, EaaS, PaaS, XaaS

• Virus Detections and Anti-virus Techniques/Software

DATA MANAGEMENT

• Algorithms and Computations on Encrypted Data

• Big Data, Frameworks and Systems for Parallel and Distributed Computing

• Big Data Processing and Analytics

• Big Data Preparation

• Big Data Representation

• Big Data Visualization- Database as a Service, Multi-tenancy, Data management and analytics as a service

• Data Integrity

• Data Science and Scalable Machine Learning

• Elasticity and Scalability for Cloud Data Management Systems

• High Availability and Reliability

• Interoperability between Clouds- New Protocols, Interfaces and Data Models for Cloud Databases

• Resource and Workload Management in Cloud Databases

• Service Level Agreements and Contracts

• Transactional Models for Cloud Databases, Consistency and Replication

• Threats and countermeasures

• Virtualization and Cloud databases, Storage Structures and Indexing

INFRASTRUCTURES AND ARCHITECTURES

• Autonomic Computing Theory, Models, Architectures and Communications

• Big Data Infrastructures

• Cloud Resource provisioning with QoS Guarantees

• Cloud Operation and Resource Management

• Cloud Performance Modeling and Benchmarks

• Datacenter Architecture and Management

• Formal methods and Tools for Cloud computing

• Infrastructures for Social Computing and Networking

• NoSQL Databases

• Software Architectures and Design for Trusted Emerging Systems

• Virtualized Computing Infrastructures

APPLICATIONS

• Big Data Applications and Case Studies

• Cloud Business Applications and Case Studies

• Clouds and Social Media, Network and Link Analysis

• Data Intensive Applications

• Large Scale Cloud Applications, Reality Mining

• Mobile Cloud Services

• New Parallel / Concurrent Programming Models for Cloud Computing

• Pervasive / Ubiquitous Computing in the Cloud

• Reliability, Fault Tolerance, Quality-of-Service

• Service Level Agreements and Performance Measurement

• Service-Oriented Architectures, RESTful Services in Cloud Environments