TY - GEN
T1 - International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)
AU - Zhang, Xuyun
AU - Puthal, Deepak
AU - Yang, Chi
AU - Liu, Guanfeng
AU - Choo, Kim Kwang Raymond
AU - Yin, Hongzhi
N1 - Funding Information:
• All the Technical Program Committee members are highly appreciated. We invited the experts/researchers in the rel-evant areas around the world. There members help peer-review the technical aspects of the submissions. • The support from the journal Computational Intelligence with EiC Prof. Diana Inkpen is highly appreciated. A spe-cial issue in this journal is associated with this workshop. Also, the journal Complexity is also appreciated by associ-ating a special issue with this workshop. Selected quality workshop papers with significant revision and extension are recommended to these special issues. • Dr Xuyun Zhang is the recipient of an ARC DECRA (project No. DE210101458) funded by the Australian Government. A/Prof. Hongzhi Yin works as ARC Future Fellow funded by the Australian Government.
Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/10/26
Y1 - 2021/10/26
N2 - While being a lasting theme, privacy, security, and trust (PST) has been increasingly important in recent days due to the pervasive (but more prone) computation infrastructure and deep (but more intrusive) data analytics, and has been hugely demanded from governments, companies, and individuals. This workshop aims at providing a forum for researchers, practitioners and developers from different background areas such as computational intelligence, data privacy and cyber security, trust management, cloud computing, edge computing, Internet of Things, big data analytics, machine learning and data mining, knowledge discovery to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about privacy, security and trust issues in computational intelligence.
AB - While being a lasting theme, privacy, security, and trust (PST) has been increasingly important in recent days due to the pervasive (but more prone) computation infrastructure and deep (but more intrusive) data analytics, and has been hugely demanded from governments, companies, and individuals. This workshop aims at providing a forum for researchers, practitioners and developers from different background areas such as computational intelligence, data privacy and cyber security, trust management, cloud computing, edge computing, Internet of Things, big data analytics, machine learning and data mining, knowledge discovery to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about privacy, security and trust issues in computational intelligence.
KW - and trust
KW - big data
KW - computational intelligence
KW - machine learning
KW - privacy
KW - security
UR - http://www.scopus.com/inward/record.url?scp=85119190812&partnerID=8YFLogxK
U2 - 10.1145/3459637.3482043
DO - 10.1145/3459637.3482043
M3 - Conference contribution
AN - SCOPUS:85119190812
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 4886
EP - 4887
BT - CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management
T2 - 30th ACM International Conference on Information and Knowledge Management, CIKM 2021
Y2 - 1 November 2021 through 5 November 2021
ER -