13th IEEE International Conference on Advanced and Trusted Computing (ATC 2016)
When : 2016-07-18
Where : France
Submission Deadline : 2016-03-11
Categories : Software Engineering & Security , Computer Science & Information Technology
13th IEEE International Conference on Advanced and Trusted Computing (ATC 2016)
July 18-21, 2016
France
Call For Papers
The 13th IEEE International Conference on Advanced and Trusted Computing deals with the different aspects related to the design, development and deployment of computational and networking capabilities as well as the design and development of computing systems and architectures. It deals also with fault tolerance and security issues in computing.
Topics
Track1. Software Defined Networking Security and Trust
- SDN-related security risks, threats and attacks
- SDN as Single point of failure
- Proofs of security in SDN-based networks
- Logic flaws in SDN implementations
- SDN controller subversion
- Authentication/confidentiality in SDN-based networks
- Attacks/defense to SDN controllers, protocols, and APIs
- Trust management of SDN applications and controllers
- SDN-enabling security management and mitigation
Track 2. Cryptocurrencies and Blockchain based Systems
- Anonymity and privacy in cryptocurrencies
- Cryptocurrency based trust systems
- Security analysis of existing cryptocurrencies
- Formal threat models in cryptocurrency systems
- Improvement proposals for existing cryptocurrencies
- P2P network cryptocurrencies analysis
- Private transactions in blockchain based systems
- Problem based mining for cryptocurrencies, like PrimeCoin
- Mining mechanisms: proof-of-work, proof of stake, proof of burn,
- New usages of the blockchain technology
- Scalability solutions for blockchain systems- Smart contracts
Track 3. Privacy Preservation in Big Data
- Statistical Disclosure Control for big data
- Privacy-preserving Data Mining for big data
- Anonymization techniques for big data
- Privacy for stream data
- Anonymization of stream data
- Privacy for big social networks related data
- Sociological/political implications of privacy and big data
- Privacy metrics for big data
- Privacy implication of big data
- Parallelization of data privacy methods- Privacy in big networks
Track 4. Middleware for IoT
- Advanced models and services
- Trustworthy middleware services
- Consistency middleware management
- Security and trust middleware algorithms
- Service session continuity
- Domain specific meta-models
- Trustworthy context-awareness
- Adaptation context managers
Track 5. Trust Models Management and Standards
- Trust reputation models
- Formal methods for trust
- Distributed trust management
- Standards for trust
- Cryptography for trust management
- Applied trust systems
- Trust architectures
- Trust adaptive systems
- Trust in collaborative environments
- Trust in cloud computing.
Track 6. Trustworthy authentication in Pervasive Computing
- Trusted computing for authentication
- Privacy preserving authentication
- User centric authentication
- Overcoming the limitations of passwords for authentication
- Proximity authentication and distance bounding protocols.
- Authentication in IoT
- Wearable authentication
- Behavioral biometrics for authentication
- Lightweight authentication mechanisms
Track 7. Service Engineering for IoT
- Abstraction and composition services
- Consistency and semantic validation
- Abstraction of global services
- Interoperability and portability models
- Adaption of applications and environments
- Advanced IoT architectures
- Trustworthy inter-domain deployment
- Assessment techniques and benchmarks
Track 8. Trust, Security and Privacy in Social Networks
- Privacy and security in social systems
- Trust and reputation schemes
- Federation and identity management
- Social implications of security and trust
- Authentication and authorization models
- Risk management and policy models
- Anonymity in social networks
- Semantics, metrics and models
- Benchmarking, modeling and performance
- Management of social network data
- Detection and prevention of social misbehavior
Track 9. Privacy and trust management in distributed systems
- Privacy-preserving trust management
- Cloud and collaborative P2P networks: privacy issues and trust
- Trust-enforcing privacy protection
- Anonymous user modeling and reputation management in distributed systems
- Anonymous trust-based recommender systems
- Privacy-preserving trust-based negotiations in distributed systems
- Collaboration enforcement in P2P networks via trust
- Privacy-preserving trust-based applications: social networks, vehicles, mobile computing, etc.
- Privacy and trust metrics
- Privacy-preserving/implicit authentication and identity management
- Trust and reputation models in social networks
- Identity and trust management in P2P networks