International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

Xuyun Zhang; Deepak Puthal; Chi Yang; Guanfeng Liu; Kim-Kwang Raymond Choo; Hongzhi Yin

doi:10.1145/3459637.3482043

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

Abstract

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.

Original language	English
Title of host publication	CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
Pages	4886-4887
Number of pages	2
ISBN (Electronic)	9781450384469
DOIs	https://doi.org/10.1145/3459637.3482043
Publication status	Published - 2021
Event	30th ACM International Conference on Information and Knowledge Management, CIKM 2021 - Virtual, Online, Australia Duration: 1 Nov 2021 → 5 Nov 2021

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings

Conference

Conference	30th ACM International Conference on Information and Knowledge Management, CIKM 2021
Country/Territory	Australia
City	Virtual, Online
Period	1/11/21 → 5/11/21

Keywords

privacy, security, and trust
computational intelligence
big data
machine learning

Access to Document

10.1145/3459637.3482043

Cite this

Zhang, X., Puthal, D., Yang, C., Liu, G., Choo, K.-K. R., & Yin, H. (2021). International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). In CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management (pp. 4886-4887). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3459637.3482043

Zhang, Xuyun ; Puthal, Deepak ; Yang, Chi et al. / International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. New York, NY : Association for Computing Machinery, 2021. pp. 4886-4887 (International Conference on Information and Knowledge Management, Proceedings).

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title = "International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)",

abstract = "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.",

keywords = "privacy, security, and trust, computational intelligence, big data, machine learning",

author = "Xuyun Zhang and Deepak Puthal and Chi Yang and Guanfeng Liu and Choo, {Kim-Kwang Raymond} and Hongzhi Yin",

year = "2021",

doi = "10.1145/3459637.3482043",

language = "English",

series = "International Conference on Information and Knowledge Management, Proceedings",

publisher = "Association for Computing Machinery",

pages = "4886--4887",

booktitle = "CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management",

note = "30th ACM International Conference on Information and Knowledge Management, CIKM 2021 ; Conference date: 01-11-2021 Through 05-11-2021",

}

Zhang, X, Puthal, D, Yang, C, Liu, G, Choo, K-KR & Yin, H 2021, International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). in CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, New York, NY, pp. 4886-4887, 30th ACM International Conference on Information and Knowledge Management, CIKM 2021, Virtual, Online, Australia, 1/11/21. https://doi.org/10.1145/3459637.3482043

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). / Zhang, Xuyun; Puthal, Deepak; Yang, Chi et al.
CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. New York, NY: Association for Computing Machinery, 2021. p. 4886-4887 (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

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AU - Yang, Chi

AU - Liu, Guanfeng

AU - Choo, Kim-Kwang Raymond

AU - Yin, Hongzhi

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KW - computational intelligence

KW - big data

KW - machine learning

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M3 - Conference abstract

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BT - CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management

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Zhang X, Puthal D, Yang C, Liu G, Choo KKR, Yin H. International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). In CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. New York, NY: Association for Computing Machinery. 2021. p. 4886-4887. (International Conference on Information and Knowledge Management, Proceedings). doi: 10.1145/3459637.3482043

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

Abstract

Publication series

Conference

Keywords

Access to Document

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DE21 : Scalable and Deep Anomaly Detection from Big Data with Similarity Hashing

Cite this

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

DE21 : Scalable and Deep Anomaly Detection from Big Data with Similarity Hashing

Cite this