Current continuously increasing demands of cloud computing and relevant network-based techniques have driven a dramatical growth of the implementations of data mining, smart data, artifical intelligence, and data analysis in multiple domains. Security and privacy issues in big data have become a great concern due to the interconnecting environment. IEEE BigDataSecurity 2018 addresses this domain and aims to gather recent academic achievements in this field. 

Moreover, cloud computing is the second concentration of IEEE BigDataSecurity 2018. The emerging mechanism of cloud computing has provided a variety of novel approaches addressing the solutions of big data. The new methods deriving from cloud computing have covered distinct dimensions, such as edge/fog computing, energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc. 

• Novel big data model
• Big data security issues in cloud computing
• Big data privacy in cloud computing
• Big data storage, integration, service, mining
• Big data security applications
• Cyber hacking, next generation fire wall
• Cyber monitoring, incident response
• Database security, data center security
• Social engineering, insider threats, advance spear phishing
• Cyber threat intelligence
• Security and fault tolerance for embedded or ubiquitous systems
• Tele-health security in cloud computing
• Sensor network security in cloud computing
• Security policy and legal considerations
• Cloud and networking security
• Cloud computing and networking models
• Virtualization for big data on cloud
• MapReduce with cloud for big data processing
• Heterogeneous architecture for cloud computing
• Dynamic resource sharing algorithm for cloud computing
• Load balance for cloud computing
• Mobile cloud computing
• Mobile commerce security and privacy
• Green cloud computing
• Embedded networks and sensor network optimizations
• Cyber Security in emergent technologies