BITS 2018 - Second IEEE International Workshop on Big Data and IoT Security in Smart Computing

Smart computing aims at improving quality of life and experience in modern society represents the next wave of computing. Key technologies contributing to the realization of smart connected communities include sensing, IoTs, mobile and pervasive computing, cyber-physical-social systems, big data, machine learning, data analytics, social and cognitive computing. Smart computing help solve a wide variety of societal challenges related to transportation, energy, healthcare, finance, disaster management, and so on.
At the core of all such systems and applications, critical issues are security privacy, reliability, resiliency, and robustness. Indeed to boost the development of big data applications in smart computing, data security and data traceability as well as privacy are extremely important. For example, data security such as secure computation with fully homomorphic encryption and data traceability with both proof of storage and attribute-based encryption become indispensable.
After successful 1st IEEE International Workshop on Big Data and IoT Security in Smart Computing (IEEE BITS2017) in Hong Kong, the 2nd workshop, IEEE BITS2018, will be held focussing on theories and implementations on secure computing and secure data management in Cloud/IoT environment. BITS is a full-day workshop that is going to be organized in conjunction in conjunction with The 4th IEEE International Conference on Smart Computing (SMARTCOMP2018) on 18-20 June, 2018.
Topics
The topics to be addressed at BITS2018 will include, but not limited to, theoretical or practical aspects of big data and IoT security and privacy in smart computing and cyber-physical systems. Papers describing experience on real prototype implementations are also welcome. Submissions should be targeted to one of the following sub-topics:
Anonymity for big data
Cryptology for big data (Fully Homomorphic Encryption, Proof of Storage, Attribute-based Encryption, etc.)
Computer architecture to speed-up secure computation
Cloud security (Security and privacy policies)
Data traceability for big data
Distributed systems security
Government funded projects in the area of data security and data traceability
Legal study for handling big data
Privacy risk assessment
Secure computation for big data
Secure information flow
Security management
Trust, security, privacy, and data provenance issues in Smart Computing
Security and privacy issues in various smart computing applications such as transportation, energy, environmental, smart city, healthcare, and social media