World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
7886
World Ranking
5177
National Ranking
155

Overview

Xun Yi is affiliated with RMIT University in Australia and has an extensive research portfolio primarily within the field of Computer Science. Their scholarly activity spans a range of subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The core themes in their research include Cryptography and Data Security, Privacy-Preserving Technologies in Data, Blockchain Technology Applications and Security, Internet Traffic Analysis and Secure E-voting, IoT and Edge/Fog Computing, Cloud Data Security Solutions, and Network Security and Intrusion Detection.

Xun Yi has authored numerous papers, with some notable recent publications listed below:

  • Public and private blockchain in construction business process and information integration, 2020, Automation in Construction
  • Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization, 2022, IEEE Transactions on Dependable and Secure Computing
  • Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things, 2022, IEEE Transactions on Industrial Informatics
  • Blockchain-Based Secure and Lightweight Authentication for Internet of Things, 2021, IEEE Internet of Things Journal
  • Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems, 2023, IEEE Transactions on Emerging Topics in Computing

Frequent co-authors collaborating with Xun Yi include Ibrahim Khalil, Xuechao Yang, Xu Yang, Surya Nepal, and Zahir Tari.

The venues where Xun Yi frequently publishes scholarly work include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Industrial Informatics
  • Future Generation Computer Systems

In addition to journal publications, Xun Yi has contributed to several books published by recognized academic publishers. These include:

  • Blockchain Foundations and Applications, 2022, Springer Nature
  • Network Classification for Traffic Management: Anomaly detection, feature selection, clustering and classification, 2020, Institution of Engineering and Technology
  • Quality, Reliability, Security and Robustness in Heterogeneous Systems, 2021, Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Best Publications

  • Public and private blockchain in construction business process and information integration

    Rebecca Yang;Ron Wakefield;Sainan Lyu;Sajani Jayasuriya

  • Homomorphic Encryption and Applications

    Xun Yi;Russell Paulet;Elisa Bertino

  • Privacy-Preserving and Content-Protecting Location Based Queries

    Russell Paulet;Md. Golam Kaosar;Xun Yi;Elisa Bertino

  • Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

    Unknown

  • Hash function based on chaotic tent maps

    Xun Yi

  • An identity-based signature scheme from the Weil pairing

    Xun Yi

  • Privacy preserving Internet of Things

    Prem Prakash Jayaraman;Xuechao Yang;Ali Yavari;Dimitrios Georgakopoulos

  • Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things

    Unknown

  • Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy

    Xun Yi;Russell Paulet;Elisa Bertino;Vijay Varadharajan

  • Single-Database Private Information Retrieval from Fully Homomorphic Encryption

    Xun Yi;M. G. Kaosar;R. Paulet;E. Bertino

  • Privacy Protection for Wireless Medical Sensor Data

    Xun Yi;Athman Bouguettaya;Dimitrios Georgakopoulos;Andy Song

  • Secure Edge of Things for Smart Healthcare Surveillance Framework

    Abdulatif Alabdulatif;Ibrahim Khalil;Xun Yi;Mohsen Guizani

  • Practical k nearest neighbor queries with location privacy

    Xun Yi;Russell Paulet;Elisa Bertino;Vijay Varadharajan

  • A Practical Privacy-Preserving Recommender System

    Shahriar Badsha;Xun Yi;Ibrahim Khalil

  • Security of Tzeng's time-bound key assignment scheme for access control in a hierarchy

    Xun Yi;Yiming Ye

  • Privacy of outsourced k-means clustering

    Dongxi Liu;Elisa Bertino;Xun Yi

  • Security and Privacy in Cloud Computing: Vision, Trends, and Challenges

    Zahir Tari;Xun Yi;Uthpala S. Premarathne;Peter Bertok

  • Fast encryption for multimedia

    Xun Yi;Chik How Tan;Chee Kheong Slew;M. Rahman Syed

  • A method for obtaining cryptographically strong 8/spl times/8 S-boxes

    Xun Yi;Shi Xin Cheng;Xiao Hu You;Kwok Yan Lam

  • Privacy-Preserving Association Rule Mining in Cloud Computing

    Xun Yi;Fang-Yu Rao;Elisa Bertino;Athman Bouguettaya

  • An efficient and expressive ciphertext-policy attribute-based encryption scheme with partially hidden access structures, revisited

    Hui Cui;Hui Cui;Robert H. Deng;Junzuo Lai;Xun Yi

  • Privacy-preserving naive Bayes classification on distributed data via semi-trusted mixers

    Xun Yi;Yanchun Zhang

Frequent Co-Authors

Ibrahim Khalil
Ibrahim Khalil RMIT University
Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Surya Nepal
Surya Nepal Commonwealth Scientific and Industrial Research Organisation
Zahir Tari
Zahir Tari RMIT University
Xinyi Huang
Xinyi Huang Fujian Normal University
Guandong Xu
Guandong Xu University of Technology Sydney
Yanchun Zhang
Yanchun Zhang Victoria University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Joseph K. Liu
Joseph K. Liu Monash University
Mohammed Atiquzzaman
Mohammed Atiquzzaman University of Oklahoma

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering Computer Science, exploring online associate's degree programs can be a smart starting point. These two-year options are ideal for those seeking flexible, foundational training before transferring to a bachelor’s program or entering the workforce.

Affordability is a top concern for many students. Luckily, there are affordable online degree programs designed to reduce your financial burden while still delivering high-quality education.

Worried about your academic history? Several online graduate programs that accept 2.0 gpa offer second chances for students eager to pursue advanced qualifications.

Finally, those with interdisciplinary interests can explore related fields. For example, if you’re passionate about the environment, you might ask, what can I do with an environmental science degree? Many Computer Science graduates work in data analysis, environmental modeling, and tech-driven sustainability roles.

Best Scientists Citing Xun Yi

Trending Scientists