The objective of this symposium is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of security and privacy in cloud computing environments. The symposium solicits novel papers on a broad range of topics, including but not limited to: Track 1: Privacy and Security in Cloud · Privacy modelling in cloud computing · Privacy correlation between multiple services in cloud computing · Trust based privacy protection in cloud computing · Privacy categorisation in cloud computing · Privacy models for outsourcing · Privacy preserving data publishing on cloud · User privacy, service providers privacy and cloud platform privacy · Privacy requirements engineering on cloud · Private information retrieval on cloud · Privacy and security in personal health records on cloud · Privacy mechanisms in cloud services · Privacy aware scheduling in cloud · Security models, levels and scenarios in cloud computing · Secure identity management in clouds · Secure data management in cloud computing · Secure access to clouds · Remote data integrity protection · Securing distributed data storage in the cloud · Data-centric security and data classification · Cost and usability models related security issues in clouds · Interaction security between usability models in cloud computing · Secure Job deployment and scheduling on cloud · Secure resource allocation and indexing · User authentication and authorisation in cloud services · Auditing in cloud computing · Cloud threat models · Multi-tenancy related security/privacy issues · Security/privacy/trust issues in SaaS/PaaS/IaaS · Secure virtual machine mechanisms in cloud computing · Vulnerabilities in cloud infrastructure · Vulnerabilities in MapReduce · Fault tolerance, exception handling and reliability issues in cloud · Application programming environment Track 2: Privacy and Security in Big Data · Secure quantum communications · Privacy in Big Data applications and services · Privacy in Big Data end-point input validation and filtering · Privacy in Big Data integration and transformation · Privacy in parallel and distributed computation · Privacy in Big Data storage management · Privacy in Big Data access control mechanisms · Privacy in Big Data mining and analytics · Privacy in Big Data sharing and visualization · Big Data privacy policies and standards · Security model and architecture for Big Data · Data mining security for Big Data · Software and system security for Big Data · Cryptography in Big Data · Visualizing large scale security data · Threat detection using Big Data analytics · Human computer interaction challenges for Big Data security · Data protection, integrity standards and policies · Security and legislative impacts for Big Data · Managing user access for Big Data · Scalability and auditing for Big Data