[CFP] 7th International Symposium on Secure Virtual Infrastructures -- Cloud and Trusted Computing (C&TC 2017)
*** C&TC 2017 *** [Apologies if you receive multiple copies of this message] == CALL FOR PAPERS 7th International Symposium on Secure Virtual Infrastructures -- Cloud and Trusted Computing (C&TC 2017) October 23-27, 2017 -- Rhodes, Greece http://www.otmconferences.org/index.php/conferences/ctc-2017 == == Special Theme 2017 == Secure and Trustworthy Big Data Analytics and IoT Integration: From the Periphery to the Cloud === Description === Current and future service-based software needs to remain focused towards the development and deployment of large and complex intelligent and networked information systems, required for internet-based and intranet-based systems in organizations, as well to move to IoT integration and big data analytics. Today, service-based software covers a very wide range of application domains as well as technologies and research issues. This has found realization through Cloud Computing, Big Data, and IoT. Vital element in such networked, virtualized, and sensor-based information systems are the notions of trust, security, privacy and risk management. Cloud and Trusted Computing (C&TC 2017) is the 7th International Symposium on Cloud Computing, Trusted Computing and Secure Virtual Infrastructures, organized as a component conference of the OnTheMove Federated Conferences & Workshops. C&TC 2017 will be held in Rhodes, Greece. The conference solicits submissions from both academia and industry presenting novel research in the context of Cloud Computing, Big Data, and IoT, presenting theoretical and practical approaches to cloud, big data, and IoT trust, security, privacy and risk management. The conference will provide a special focus on the intersection between cloud paradigm, big data analytics, and IoT integration, bringing together experts from the three communities to discuss on the vital issues of trust, security, privacy and risk management in Cloud Computing, shedding the light on novel issues and requirements in big data and IoT domains. Potential contributions could cover new approaches, methodologies, protocols, tools, or verification and validation techniques. We also welcome review papers that analyze critically the current status of trust, security, privacy and risk management in the cloud, big data, and IoT. Papers from practitioners who encounter trust, security, privacy, and risk management problems, and seek understanding are finally welcome. === Topics === For 2017, a special emphasis will be put on “Secure and Trustworthy Big Data Analytics and IoT Integration: From the Periphery to the Cloud”. Topics of interest are classified in four main themes and include, but are not limited to: 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 - Cooperative systems - 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 - IoT security and privacy - 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 - Trust in IoT environments - Trusted Computing in virtualized environments - Trusted Execution 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 Provenance - Data Integrity - Data Science and Scalable Machine Learning - Elasticity and Scalability for Cloud Data Management Systems - Encryption Systems for IoT Data - High Availability and Reliability - Interoperability between Clouds- New Protocols, Interfaces and Data Models for Cloud Databases - Resource and Workload Management in Cloud Databases - Sensor-Based Data Collection, Management, and Security
[CFP] 7th International Symposium on Secure Virtual Infrastructures -- Cloud and Trusted Computing (C&TC 2017)
*** C&TC 2017 *** [Apologies if you receive multiple copies of this message] == CALL FOR PAPERS 7th International Symposium on Secure Virtual Infrastructures -- Cloud and Trusted Computing (C&TC 2017) October 23-27, 2017 -- Rhodes, Greece http://www.otmconferences.org/index.php/conferences/ctc-2017 == == Special Theme 2017 == Secure and Trustworthy Big Data Analytics and IoT Integration: From the Periphery to the Cloud === Description === Current and future service-based software needs to remain focused towards the development and deployment of large and complex intelligent and networked information systems, required for internet-based and intranet-based systems in organizations, as well to move to IoT integration and big data analytics. Today, service-based software covers a very wide range of application domains as well as technologies and research issues. This has found realization through Cloud Computing, Big Data, and IoT. Vital element in such networked, virtualized, and sensor-based information systems are the notions of trust, security, privacy and risk management. Cloud and Trusted Computing (C&TC 2017) is the 7th International Symposium on Cloud Computing, Trusted Computing and Secure Virtual Infrastructures, organized as a component conference of the OnTheMove Federated Conferences & Workshops. C&TC 2017 will be held in Rhodes, Greece. The conference solicits submissions from both academia and industry presenting novel research in the context of Cloud Computing, Big Data, and IoT, presenting theoretical and practical approaches to cloud, big data, and IoT trust, security, privacy and risk management. The conference will provide a special focus on the intersection between cloud paradigm, big data analytics, and IoT integration, bringing together experts from the three communities to discuss on the vital issues of trust, security, privacy and risk management in Cloud Computing, shedding the light on novel issues and requirements in big data and IoT domains. Potential contributions could cover new approaches, methodologies, protocols, tools, or verification and validation techniques. We also welcome review papers that analyze critically the current status of trust, security, privacy and risk management in the cloud, big data, and IoT. Papers from practitioners who encounter trust, security, privacy, and risk management problems, and seek understanding are finally welcome. === Topics === For 2017, a special emphasis will be put on "Secure and Trustworthy Big Data Analytics and IoT Integration: From the Periphery to the Cloud". Topics of interest are classified in four main themes and include, but are not limited to: 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 - Cooperative systems - 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 - IoT security and privacy - 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 - Trust in IoT environments - Trusted Computing in virtualized environments - Trusted Execution 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 Provenance - Data Integrity - Data Science and Scalable Machine Learning - Elasticity and Scalability for Cloud Data Management Systems - Encryption Systems for IoT Data - High Availability and Reliability - Interoperability between Clouds- New Protocols, Interfaces and Data Models for Cloud Databases - Resource and Workload Management in Cloud Databases - Sensor-Based Data Collection, Management, and Security
