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S. K. Kong - IEEE Xplore Author Profile

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Author details

S. K. Kong

Publications

13

Citations

73

Publications by Year

20042012

Co-Authors:

Fuhong CaiQ. L. ChenChinlon LinWinnie W. Y. ChowSailing He

Show All Co-Authors (24)

S. K. Kong

Affiliation

Program of Biochemistry

School of Life Sciences

Chinese University of Hong Kong, Sha Tin, Hong Kong, China

Publication Topics

Surface Plasmon Resonance,
Allergy,
Amino Groups,
Beam Angle,
Betaine,
Biosensor For Detection,
Bottom Plate,
Bottom Surface,
Bst DNA Polymerase,
Cancer Cells,
Cationic Charge,
Cellular Environment

Biography

S. K. Kong was born in Hong Kong, China. He received the Ph.D. degree from The Chinese University of Hong Kong (CUHK), Shatin, Hong Kong, in 1989, and the MBA degree from the University of Strathclyde, Glasgow, U.K., in 1996.,Since 1999, he has been a Professor in the Department of Biochemistry, CUHK. His current research interests include how cancer cells bypass the cell death program to be immortal cells and the use of surface plasmon resonance to determine interactions of biomolecules.,Prof. Kong is a Chartered Biologist and a member of the Institute of Biology, U.K.(Based on document published on 26 May 2009).

Publications

13

Citations

73

Publications by Year

20042012

Co-Authors:

Fuhong Cai
Q. L. Chen
Chinlon Lin
Winnie W. Y. Chow
Sailing He

Show All Co-Authors (24)

Author's Published Works

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Showing 1-14 of 14 results

Journals (12)

Conferences (2)

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Wen Huang(14)
Yongjian Liao(13)
Shijie Zhou(12)
Zhishuo Zhang(4)
Hongjie Chen(3)
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China(10)
College of Computer Science, Sichuan University, Chengdu, China(2)
Sichuan University, Chengdu, China(2)
Department of Computer Science, City University of Hong Kong, Hong Kong, China(1)
School of Computer Science, Sichuan University, Chengdu, China(1)
IEEE Internet of Things Journal(6)
IEEE Access(3)
2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)(1)
2021 IEEE 15th International Conference on Big Data Science and Engineering (BigDataSE)(1)
IEEE Transactions on Information Forensics and Security(1)
IEEE(14)
Media(1)
Guangzhou, China(1)
Shenyang, China(1)
Differential Privacy(7)
Secret Key(7)
Hash Function(6)
Laplace Distribution(6)
Privacy Guarantee(6)

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An Auto-Upgradable End-to-End Preauthenticated Secure Communication Protocol for UAV-Aided Perception Intelligent System

Zhishuo Zhang;Ying Huang;Wen Huang;Wenbo Pan;Yongjian Liao;Shijie Zhou

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 18 | Journal Article |

Cited by: Papers (1)

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Unmanned aerial vehicle (UAV)-enabled intelligent systems are emerging and empowering real-time monitoring and modeling tasks. The security requirements in real-time UAV-enabled intelligent systems are data integrity, authenticity, traceability, tamper-proofing, and privacy. A secure channel established by authenticated key agreement (AKA) protocol can cover all the security requirements. However,...Show More

An Auto-Upgradable End-to-End Preauthenticated Secure Communication Protocol for UAV-Aided Perception Intelligent System

Zhishuo Zhang;Ying Huang;Wen Huang;Wenbo Pan;Yongjian Liao;Shijie Zhou

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 18 | Journal Article |

Collect Spatiotemporally Correlated Data in IoT Networks With an Energy-Constrained UAV

Wenzheng Xu;Heng Shao;Qunli Shen;Jian Peng;Wen Huang;Weifa Liang;Tang Liu;Xin-Wei Yao;Tao Lin;Sajal K. Das

IEEE Internet of Things Journal

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

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Unmanned aerial vehicles (UAVs) are promising tools for efficient data collections of sensors in Internet of Things networks. Existing studies exploited both spatial and temporal data correlations to reduce the amount of collected redundant data, in which sensors are first partitioned into different clusters, a master sensor in each cluster then collects raw data from other sensors and compresses ...Show More

Collect Spatiotemporally Correlated Data in IoT Networks With an Energy-Constrained UAV

Wenzheng Xu;Heng Shao;Qunli Shen;Jian Peng;Wen Huang;Weifa Liang;Tang Liu;Xin-Wei Yao;Tao Lin;Sajal K. Das

IEEE Internet of Things Journal

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

A Fully Auditable Data Propagation Scheme With Dynamic Vehicle Management for EC-ITS

Zhishuo Zhang;Ying Huang;Wen Huang;Yongjian Liao;Shijie Zhou

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 7 | Journal Article |

Cited by: Papers (1)

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Access control and authenticity are two critical concerns of the encrypted propagating data in edge computing-assisted intelligent transportation systems (EC-ITS). This paper presents a fully traceable and verifiable ciphertext-policy attribute-based encryption scheme with auditable outsourced decryption and dynamic identity revocation (FTV-AOD-DR-CP-ABE) for EC-ITS as a confidential and fine-grai...Show More

A Fully Auditable Data Propagation Scheme With Dynamic Vehicle Management for EC-ITS

Zhishuo Zhang;Ying Huang;Wen Huang;Yongjian Liao;Shijie Zhou

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 7 | Journal Article |

A Domain Isolated Tripartite Authenticated Key Agreement Protocol With Dynamic Revocation and Online Public Identity Updating for IIoT

Zhishuo Zhang;Wen Huang;Ying Huang;Yongjian Liao;Zhun Zhang;Shijie Zhou

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 9 | Journal Article |

Cited by: Papers (2)

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Authenticated Key agreement (AKA) protocol is one of the essential components for reliable secure communication in Industrial Internet of Things (IIoT) communication model. Recently, Srinivas et al. proposed a three-factor elliptic curve cryptosystem (ECC)-based AKA protocol called UAP-BCIoT for wireless sensor network-based intelligent transportation system (ITS). In this article, we first find o...Show More

A Domain Isolated Tripartite Authenticated Key Agreement Protocol With Dynamic Revocation and Online Public Identity Updating for IIoT

Zhishuo Zhang;Wen Huang;Ying Huang;Yongjian Liao;Zhun Zhang;Shijie Zhou

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 9 | Journal Article |

Secure Neural Network Prediction in the Cloud-Based Open Neural Network Service

Wen Huang;Ganglin Zhang;Yongjian Liao;Jian Peng;Feihu Huang;Julong Yang

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 2 | Journal Article |

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With the popularity of artificial intelligence and cloud computing, many neural network models can be placed on the cloud server as an open service, such as Google Goggles and the online face recognition system of Baidu. The data owner sends his data to the cloud server to get the prediction result of data. Obviously, the cloud service provider can access model parameters and private data if there...Show More

Secure Neural Network Prediction in the Cloud-Based Open Neural Network Service

Wen Huang;Ganglin Zhang;Yongjian Liao;Jian Peng;Feihu Huang;Julong Yang

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 2 | Journal Article |

A Stronger Secure Ciphertext Fingerprint-Based Commitment Scheme for Robuster Verifiable OD-CP-ABE in IMCC

Zhishuo Zhang;Wen Huang;Lin Yang;Yongjian Liao;Shijie Zhou

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 18 | Journal Article |

Cited by: Papers (6)

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Outsourced decryption attribute-based encryption (OD-ABE) is emerging as a promising cryptographic tool to provide efficient fine-grained access control for data accessing and sharing in cloud-assisted Intelligent Internet of Mobile Things (IIoMT). Decryption verification is an essential property of OD-ABE to enable the mobile user to verify the precision of the decryption data. Unfortunately, the...Show More

A Stronger Secure Ciphertext Fingerprint-Based Commitment Scheme for Robuster Verifiable OD-CP-ABE in IMCC

Zhishuo Zhang;Wen Huang;Lin Yang;Yongjian Liao;Shijie Zhou

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 18 | Journal Article |

Privately Publishing Internet of Things Data: Bring Personalized Sampling Into Differentially Private Mechanisms

Wen Huang;Shijie Zhou;Tianqing Zhu;Yongjian Liao

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 1 | Journal Article |

Cited by: Papers (8)

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Massive Internet of Things (IoT) data sets are possessed by big institutions serving daily life because IoT devices are widely used in our daily life such as wearable devices and smart home devices. Publishing these data sets among various institutions causes an increasing number of users to concern their personal privacy. Differential privacy is the state-of-the-art concept of privacy preservatio...Show More

Privately Publishing Internet of Things Data: Bring Personalized Sampling Into Differentially Private Mechanisms

Wen Huang;Shijie Zhou;Tianqing Zhu;Yongjian Liao

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 1 | Journal Article |

Improving the Number of Queries Supported by Differentially Private Mechanisms

Wen Huang;Shijie Zhou;Yongjian Liao

2021 IEEE 15th International Conference on Big Data Science and Engineering (BigDataSE)

Year: 2021 | Conference Paper |

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Differential privacy is a widely accepted privacy conception. However, there is a limitation on the number of queries supported by differentially private mechanisms, and the limitation stops differentially private mechanisms from being widely used in business systems. In this paper, we propose two mechanisms to optimize the number of queries, namely approximate answer differentially private mechan...Show More

Improving the Number of Queries Supported by Differentially Private Mechanisms

Wen Huang;Shijie Zhou;Yongjian Liao

2021 IEEE 15th International Conference on Big Data Science and Engineering (BigDataSE)

Year: 2021 | Conference Paper |

Unexpected Information Leakage of Differential Privacy Due to the Linear Property of Queries

Wen Huang;Shijie Zhou;Yongjian Liao

IEEE Transactions on Information Forensics and Security

Year: 2021 | Volume: 16 | Journal Article |

Cited by: Papers (3)

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Differential privacy is a widely accepted concept of privacy preservation, and the Laplace mechanism is a famous instance of differentially private mechanisms used to deal with numerical data. In this paper, we find that differential privacy does not take the linear property of queries into account, resulting in unexpected information leakage. Specifically, the linear property makes it possible to...Show More

Unexpected Information Leakage of Differential Privacy Due to the Linear Property of Queries

Wen Huang;Shijie Zhou;Yongjian Liao

IEEE Transactions on Information Forensics and Security

Year: 2021 | Volume: 16 | Journal Article |

Improving Laplace Mechanism of Differential Privacy by Personalized Sampling

Wen Huang;Shijie Zhou;Tianqing Zhu;Yongjian Liao;Chunjiang Wu;Shilin Qiu

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Year: 2020 | Conference Paper |

Cited by: Papers (12)

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The differential privacy is the state-of-the-art conception for privacy preservation due to its strong privacy guarantees, however it suffers from low accuracy. In this paper, we propose a personalized sample Laplace mechanism by combining the Laplace mechanism with sampling technology. In order to improve the accuracy, the proposed mechanism assigns personalized sampling probability to each recor...Show More

Improving Laplace Mechanism of Differential Privacy by Personalized Sampling

Wen Huang;Shijie Zhou;Tianqing Zhu;Yongjian Liao;Chunjiang Wu;Shilin Qiu

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Year: 2020 | Conference Paper |

Optimizing Query Times for Multiple Users Scenario of Differential Privacy

Wen Huang;Shijie Zhou;Yongjian Liao;Ming Zhuo

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (5)

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Differential privacy is the state-of-the-art for preserving privacy and differential privacy mechanism based on Laplace distribution with mean 0 is common practice. However, privacy budget is exhausted so quick that the number of queries is not enough. In this paper, a differential privacy mechanism is proposed to optimize the number of queries for application scenario of multiple users. We isolat...Show More

Optimizing Query Times for Multiple Users Scenario of Differential Privacy

Wen Huang;Shijie Zhou;Yongjian Liao;Ming Zhuo

Year: 2019 | Volume: 7 | Journal Article |

An Efficient Differential Privacy Logistic Classification Mechanism

Wen Huang;Shijie Zhou;Yongjian Liao;Hongjie Chen

IEEE Internet of Things Journal

Year: 2019 | Volume: 6, Issue: 6 | Journal Article |

Cited by: Papers (19)

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The logistic model is a very elementary and important model in the field of machine learning. In this article, an efficient differential privacy logistic classification mechanism is proposed. The proposed mechanism is better than object function perturbation mechanism in terms of running time and accuracy. Regarding accuracy, the proposed mechanism's accuracy is almost the same as the no different...Show More

An Efficient Differential Privacy Logistic Classification Mechanism

Wen Huang;Shijie Zhou;Yongjian Liao;Hongjie Chen

IEEE Internet of Things Journal

Year: 2019 | Volume: 6, Issue: 6 | Journal Article |

An Efficient Deniable Authenticated Encryption Scheme for Privacy Protection

Wen Huang;Yongjian Liao;Shijie Zhou;Hongjie Chen

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (12)

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In the field of social survey of misconduct and legal consultation, the features of confidentiality, integrity, deniable authentication, and non-repudiation are needed for the sake of preserving privacy. For this special kind of application scenario, we propose an efficient deniable authentication encryption scheme. Our scheme can achieve the four secure features in a single logical step. And comp...Show More

An Efficient Deniable Authenticated Encryption Scheme for Privacy Protection

Wen Huang;Yongjian Liao;Shijie Zhou;Hongjie Chen

Year: 2019 | Volume: 7 | Journal Article |

Insecurity of an IBEET Scheme and an ABEET Scheme

Yongjian Liao;Hongjie Chen;Wen Huang;Ramadan Mohammed;Hongtao Pan;Shijie Zhou

Year: 2019 | Volume: 7 | Journal Article |

Cited by: Papers (4)

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Cloud computing is a novel pattern, which can allow users to outsource their data to the cloud servers in order to save the resource of clients. For the sake of protecting the clients' privacy, the clients' data are stored or computed in the encrypted data. This leads to a new issue: how to quickly search these encrypted data. One of the methods to solve the problem is to construct public-key encr...Show More

Insecurity of an IBEET Scheme and an ABEET Scheme

Yongjian Liao;Hongjie Chen;Wen Huang;Ramadan Mohammed;Hongtao Pan;Shijie Zhou

Year: 2019 | Volume: 7 | Journal Article |

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