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Yunting Tao - IEEE Xplore Author Profile

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Author details

Yunting Tao

Publications

7

Citations

6

Publications by Year

20212025

Co-Authors:

Pengyu CuiLuhong DiaoChunpeng GeZhaoquan GuQing Han

Show All Co-Authors (23)

Yunting Tao

Affiliation

College of Information Engineering

Binzhou Polytechnic

Binzhou, Shandong, China

Publication Topics

Cloud Computing,
Internet Of Things,
Internet Of Things Devices,
Key Generation,
Computation Tasks,
Computational Cost,
Matrix Elements,
Matrix Multiplication,
Secret Key,
Security Analysis,
Security Parameter,
Sparse Matrix

Biography

Yunting Tao is currently pursuing the master’s degree in software engineering from Shandong University. His main research interests include cryptography, homomorphic encryption, and wireless network security.(Based on document published on 2 October 2023).

Publications

7

Citations

6

Publications by Year

20212025

Co-Authors:

Pengyu Cui
Luhong Diao
Chunpeng Ge
Zhaoquan Gu
Qing Han

Show All Co-Authors (23)

Author's Published Works

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Showing 1-7 of 7 results

Conferences (4)

Journals (2)

Early Access Articles (1)

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Single Year
Yunting Tao(7)
Fanyu Kong(6)
Jia Yu(5)
Hanlin Zhang(4)
Chunpeng Ge(2)
School of Software, Shandong University, Jinan, China(4)
College of Computer Science and Technology, Qingdao University, Qingdao, China(4)
College of Information Engineering, Binzhou Polytechnic, Binzhou, Shandong, China(3)
Shandong Sansec Information Technology Co., Ltd, Jinan, China(2)
Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Singapore(1)
IEEE Internet of Things Journal(2)
2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing (EUC)(1)
2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)(1)
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)(1)
2023 IEEE Symposium on Computers and Communications (ISCC)(1)
IEEE(7)
Gammarth, Tunisia(1)
Ocean Flower Island, China(1)
Shenyang, China(1)
Wuhan, China(1)
Cloud Computing(4)
Internet Of Things(4)
Internet Of Things Devices(4)
Key Generation(4)
Secret Key(4)

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How to Securely Outsource the Multiple Kernel Fuzzy Clustering Task in Edge Computing

Xinrong Sun;Yunting Tao;Fanyu Kong;Qian Yu;Chunpeng Ge;Qiuliang Xu;Hanlin Zhang

IEEE Internet of Things Journal

Year: 2025 | Early Access Article |

For the huge amount of data from the Internet of Things (IoT) devices, multiple kernel learning is a widely concerned issue in data analyzing, among which the multiple kernel fuzzy clustering (MKFC) algorithm is an effective approach for extracting linear features in high-dimensional space. For a time-consuming multiple kernel clustering task, it’s meaningful to find a secure and efficient outsour...Show More

How to Securely Outsource the Multiple Kernel Fuzzy Clustering Task in Edge Computing

Xinrong Sun;Yunting Tao;Fanyu Kong;Qian Yu;Chunpeng Ge;Qiuliang Xu;Hanlin Zhang

IEEE Internet of Things Journal

Year: 2025 | Early Access Article |

Accelerating Graph Embedding Through Secure Distributed Outsourcing Computation in Internet of Things

Pengyu Cui;Yunting Tao;Bin Zhen;Fanyu Kong;Chunpeng Ge;Chuan Ma;Jia Yu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 16 | Journal Article |

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With the advancement of the Internet of Things (IoT), numerous machine learning applications on IoT are encountering performance bottlenecks. Graph embedding is an emerging type of machine learning that has achieved commendable results in areas, such as network anomaly detection, malware detection, IoT device management, and service recommendation within the IoT. However, for some resource-constra...Show More

Accelerating Graph Embedding Through Secure Distributed Outsourcing Computation in Internet of Things

Pengyu Cui;Yunting Tao;Bin Zhen;Fanyu Kong;Chunpeng Ge;Chuan Ma;Jia Yu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 16 | Journal Article |

Secure parallel Outsourcing Scheme for Large-scale Matrix Multiplication on Distributed Cloud Servers

Yinlong Wang;Yunting Tao;Fanyu Kong;Zhaoquan Gu;Jia Yu;Hanlin Zhang

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2023 | Conference Paper |

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Large-scale matrix multiplication is a computational bottleneck in various applications including artificial intelligence and machine learning. Given the time complexity of O(n3) for matrix multiplication, large matrix computation is exceedingly time-consuming for the client-side user. By outsourcing this task to cloud servers with substantial computational resources, we can significantly reduce t...Show More

Secure parallel Outsourcing Scheme for Large-scale Matrix Multiplication on Distributed Cloud Servers

Yinlong Wang;Yunting Tao;Fanyu Kong;Zhaoquan Gu;Jia Yu;Hanlin Zhang

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)

Year: 2023 | Conference Paper |

Secure Cloud-Aided Approximate Nearest Neighbor Search on High-Dimensional Data

Jia Liu;Wang Yinchai;Fengrui Wei;Qing Han;Yunting Tao;Liping Zhao;Xinjin Li;Hongbo Sun

Year: 2023 | Volume: 11 | Journal Article |

Cited by: Papers (2)

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As one fundamental data-mining problem, ANN (approximate nearest neighbor search) is widely used in many industries including computer vision, information retrieval, and recommendation system. $LSH$ (Local sensitive hashing) is one of the most popular hash-based approaches to solve ANN problems. However, the efficiency of operating $LSH$ needs to be improved, as the operations of $LSH$ often...Show More

Secure Cloud-Aided Approximate Nearest Neighbor Search on High-Dimensional Data

Jia Liu;Wang Yinchai;Fengrui Wei;Qing Han;Yunting Tao;Liping Zhao;Xinjin Li;Hongbo Sun

Year: 2023 | Volume: 11 | Journal Article |

Efficient Privacy-Preserving Multi-Functional Data Aggregation Scheme for Multi-Tier IoT System

Yunting Tao;Fanyu Kong;Yuliang Shi;Jia Yu;Hanlin Zhang;Huiyi Liu

2023 IEEE Symposium on Computers and Communications (ISCC)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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The proliferation of Internet of Things (IoT) devices has led to the generation of massive amounts of data that require efficient aggregation for analysis and decision-making. However, multi-tier IoT systems, which involve multiple layers of devices and gateways, face more complex security challenges in data aggregation compared to ordinary IoT systems. In this paper, we propose an efficient priva...Show More

Efficient Privacy-Preserving Multi-Functional Data Aggregation Scheme for Multi-Tier IoT System

Yunting Tao;Fanyu Kong;Yuliang Shi;Jia Yu;Hanlin Zhang;Huiyi Liu

2023 IEEE Symposium on Computers and Communications (ISCC)

Year: 2023 | Conference Paper |

Privacy-Preserving and Verifiable Outsourcing Message Transmission and Authentication Protocol in IoT

Hongjun Li;Fanyu Kong;Jia Yu;Hanlin Zhang;Luhong Diao;Yunting Tao

2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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With the popularity of Internet of Things (IoT) and 5G, privacy-preserving message transmission and authentication have become an indispensable part in the field of data collection and analysis. There exist many protocols based on the public key cryptosystem, which allow the users to utilize their own identity as the public key to carry out data encryption and digital signature, which is very suit...Show More

Privacy-Preserving and Verifiable Outsourcing Message Transmission and Authentication Protocol in IoT

Hongjun Li;Fanyu Kong;Jia Yu;Hanlin Zhang;Luhong Diao;Yunting Tao

2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Year: 2022 | Conference Paper |

Modification and Performance Improvement of Paillier Homomorphic Cryptosystem

Yunting Tao;Fanyu Kong;Jia Yu;Qiuliang Xu

2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing (EUC)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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Data security and privacy have become an important problem while big data systems are growing dramatically fast in various application fields. Paillier additive homomorphic cryptosystem is widely used in information security fields such as big data security, communication security, cloud computing security, and artificial intelligence security. However, how to improve its computational performance...Show More

Modification and Performance Improvement of Paillier Homomorphic Cryptosystem

Yunting Tao;Fanyu Kong;Jia Yu;Qiuliang Xu

2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing (EUC)

Year: 2021 | Conference Paper |

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