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Kaitai Liang - IEEE Xplore Author Profile
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Kaitai Liang

Also published under: K. Liang

Publications
57
Citations
2,066
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (170)
Image of author Kaitai Liang

Kaitai Liang

Also published under: K. Liang

Affiliation

School of Computer and Artificial Intelligence
Wuhan University of Technology
Wuhan, China

Publication Topics

Biography

Kaitai Liang (M’15) received the Ph.D. degree from the Department of Computer Science, City University of Hong Kong, Hong Kong, in 2014.,He is currently an Assistant Professor with the Department of Computer Science, University of Surrey, Guildford, U.K. His current research interests include applied cryptography and information security in particular, encryption, blockchain, post-quantum crypto, privacy enhancing technology, and security in cloud computing.(Based on document published on 30 September 2019).
Publications
57
Citations
2,066
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (170)
Author's Published Works

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LogDLR: Unsupervised Cross-System Log Anomaly Detection Through Domain-Invariant Latent Representation

Junwei Zhou;Shaowen Ying;Shulan Wang;Dongdong Zhao;Jianwen Xiang;Kaitai Liang;Peng Liu

IEEE Transactions on Dependable and Secure Computing
Year: 2025 | Early Access Article |
Log anomaly detection aims to discover abnormal events from massive log data to ensure the security and reliability of software systems. However, due to the heterogeneity of log formats and syntaxes across different systems, existing log anomaly detection methods often need to be designed and trained for specific systems, lacking generalization ability. To address this challenge, we propose LogDLR...Show More

LogDLR: Unsupervised Cross-System Log Anomaly Detection Through Domain-Invariant Latent Representation

Junwei Zhou;Shaowen Ying;Shulan Wang;Dongdong Zhao;Jianwen Xiang;Kaitai Liang;Peng Liu

Year: 2025 | Early Access Article |

MVOC: A Lighter Multi-Client Verifiable Outsourced Computation for Malicious Lightweight Clients

Xingkai Wang;Zhenfu Cao;Zhen Liu;Kaitai Liang

IEEE Transactions on Dependable and Secure Computing
Year: 2025 | Volume: 22, Issue: 2 | Journal Article |
Gordon et al. systematically studied the Universally Composable (UC) security of Multi-client Verifiable Computation (MVC), in which a set of computationally-weak clients delegate the computation of a general function to an untrusted server based on their private inputs, and proposed a UC-secure scheme ensuring that the protocol remains secure even when arbitrarily composed with other UC-secure in...Show More

MVOC: A Lighter Multi-Client Verifiable Outsourced Computation for Malicious Lightweight Clients

Xingkai Wang;Zhenfu Cao;Zhen Liu;Kaitai Liang

Year: 2025 | Volume: 22, Issue: 2 | Journal Article |

Inject Less, Recover More: Unlocking the Potential of Document Recovery in Injection Attacks Against SSE

Manning Zhang;Zeshun Shi;Huanhuan Chen;Kaitai Liang

2024 IEEE 37th Computer Security Foundations Symposium (CSF)
Year: 2024 | Conference Paper |
Searchable symmetric encryption has been vulnerable to inference attacks that rely on uniqueness in leakage patterns. However, many keywords in datasets lack distinctive leakage patterns, limiting the effectiveness of such attacks. The file injection attacks, initially proposed by Cash et al. (CCS 2015), have shown impressive performance with 100% accuracy and no prior knowledge requirement. Never...Show More

Inject Less, Recover More: Unlocking the Potential of Document Recovery in Injection Attacks Against SSE

Manning Zhang;Zeshun Shi;Huanhuan Chen;Kaitai Liang

Year: 2024 | Conference Paper |

Stealthy Backdoor Attack Against Federated Learning Through Frequency Domain by Backdoor Neuron Constraint and Model Camouflage

Yanqi Qiao;Dazhuang Liu;Rui Wang;Kaitai Liang

IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Year: 2024 | Volume: 14, Issue: 4 | Journal Article |
Federated Learning (FL) is a beneficial decentralized learning approach for preserving the privacy of local datasets of distributed agents. However, the distributed property of FL and untrustworthy data introducing the vulnerability to backdoor attacks. In this attack scenario, an adversary manipulates its local data with a specific trigger and trains a malicious local model to implant the backdoo...Show More

Stealthy Backdoor Attack Against Federated Learning Through Frequency Domain by Backdoor Neuron Constraint and Model Camouflage

Yanqi Qiao;Dazhuang Liu;Rui Wang;Kaitai Liang

Year: 2024 | Volume: 14, Issue: 4 | Journal Article |

Sidechains With Optimally Succinct Proof

Lingyuan Yin;Jing Xu;Kaitai Liang;Zhenfeng Zhang

IEEE Transactions on Dependable and Secure Computing
Year: 2024 | Volume: 21, Issue: 4 | Journal Article |
Cited by: Papers (3)
Sidechains have been widely used to improve the interoperability and scalability of blockchain systems. Despite several interesting sidechain constructions have been proposed in the literature, they suffer from the following downsides: 1) their designs do not easily support pluggable consensus mechanisms, and 2) their communication and storage costs for cross-chain operations are not yet optimized...Show More

Sidechains With Optimally Succinct Proof

Lingyuan Yin;Jing Xu;Kaitai Liang;Zhenfeng Zhang

Year: 2024 | Volume: 21, Issue: 4 | Journal Article |

FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels

Rui Wang;Oğuzhan Ersoy;Hangyu Zhu;Yaochu Jin;Kaitai Liang

IEEE Transactions on Big Data
Year: 2024 | Volume: 10, Issue: 6 | Journal Article |
Cited by: Papers (16)
Vertical Federated Learning (VFL) enables multiple clients to collaboratively train a global model over vertically partitioned data without leaking private local information. Tree-based models, like XGBoost and LightGBM, have been widely used in VFL to enhance the interpretation and efficiency of training. However, there is a fundamental lack of research on how to conduct VFL securely over distrib...Show More

FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels

Rui Wang;Oğuzhan Ersoy;Hangyu Zhu;Yaochu Jin;Kaitai Liang

Year: 2024 | Volume: 10, Issue: 6 | Journal Article |

A New Design for Self-Encryption

Roland Kromes;João Rodrigues;Duarte Nascimento;Gonçalo Cadete;François Verdier;Kaitai Liang

2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Year: 2023 | Conference Paper |
Nowadays, Internet of Things applications face serious data and privacy protection vulnerabilities. To address some of the data protection and privacy issues, in this work we propose a new design for the self-encryption method based on a cryptographic-puzzle algorithm, that includes the generation of multiple secret keys, derived from the plaintext. As the ciphertext is constructed from several ch...Show More

A New Design for Self-Encryption

Roland Kromes;João Rodrigues;Duarte Nascimento;Gonçalo Cadete;François Verdier;Kaitai Liang

Year: 2023 | Conference Paper |

Keyword Search Shareable Encryption for Fast and Secure Data Replication

Wei Wang;Dongli Liu;Peng Xu;Laurence Tianruo Yang;Kaitai Liang

IEEE Transactions on Information Forensics and Security
Year: 2023 | Volume: 18 | Journal Article |
Cited by: Papers (2)
It has become a trend for clients to outsource their encrypted databases to remote servers and then leverage the Searchable Encryption technique to perform secure data retrieval. However, the method has yet to be considered a crucial need for replication on searchable encrypted data. It calls for challenging works on Dynamic Searchable Symmetric Encryption (DSSE) since clients must share the searc...Show More

Keyword Search Shareable Encryption for Fast and Secure Data Replication

Wei Wang;Dongli Liu;Peng Xu;Laurence Tianruo Yang;Kaitai Liang

Year: 2023 | Volume: 18 | Journal Article |

Improved Wordpcfg for Passwords with Maximum Probability Segmentation

Wenting Li;Jiahong Yang;Haibo Cheng;Ping Wang;Kaitai Liang

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Modeling password distributions is a fundamental problem in password security, benefiting the research and applications on password guessing, password strength meters, honey password vaults, etc. As one of the best segment-based password models, WordPCFG has been proposed to capture individual semantic segments (called words) in passwords. However, we find WordPCFG does not address well the ambigu...Show More

Improved Wordpcfg for Passwords with Maximum Probability Segmentation

Wenting Li;Jiahong Yang;Haibo Cheng;Ping Wang;Kaitai Liang

Year: 2023 | Conference Paper |

FABRIC: Fast and Secure Unbounded Cross-System Encrypted Data Sharing in Cloud Computing

Lili Wang;Ye Lin;Ting Yao;Hu Xiong;Kaitai Liang

IEEE Transactions on Dependable and Secure Computing
Year: 2023 | Volume: 20, Issue: 6 | Journal Article |
Cited by: Papers (12)
Existing proxy re-encryption (PRE) schemes to secure cloud data sharing raise challenges such as supporting the heterogeneous system efficiently and achieving the unbounded feature. To address this problem, we proposed a fast and secure unbounded cross-domain proxy re-encryption scheme, named FABRIC, which enables the delegator to authorize the semi-trusted cloud server to convert one ciphertext o...Show More

FABRIC: Fast and Secure Unbounded Cross-System Encrypted Data Sharing in Cloud Computing

Lili Wang;Ye Lin;Ting Yao;Hu Xiong;Kaitai Liang

Year: 2023 | Volume: 20, Issue: 6 | Journal Article |

HPAKE: Honey Password-Authenticated Key Exchange for Fast and Safer Online Authentication

Wenting Li;Ping Wang;Kaitai Liang

IEEE Transactions on Information Forensics and Security
Year: 2023 | Volume: 18 | Journal Article |
Cited by: Papers (3)
Password-only authentication is one of the most popular secure mechanisms for real-world online applications. But it easily suffers from a practical threat - password leakage, incurred by external and internal attackers. The external attacker may compromise the password file stored on the authentication server, and the insider may deliberately steal the passwords or inadvertently leak the password...Show More

HPAKE: Honey Password-Authenticated Key Exchange for Fast and Safer Online Authentication

Wenting Li;Ping Wang;Kaitai Liang

Year: 2023 | Volume: 18 | Journal Article |

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels

Hangyu Zhu;Rui Wang;Yaochu Jin;Kaitai Liang

IEEE Transactions on Artificial Intelligence
Year: 2023 | Volume: 4, Issue: 5 | Journal Article |
Cited by: Papers (19)
Federated learning (FL) is an emerging privacy preserving machine learning protocol that allows multiple devices to collaboratively train a shared global model without revealing their private local data. Nonparametric models like gradient boosting decision trees (GBDTs) have been commonly used in FL for vertically partitioned data. However, all these studies assume that all the data labels are sto...Show More

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels

Hangyu Zhu;Rui Wang;Yaochu Jin;Kaitai Liang

Year: 2023 | Volume: 4, Issue: 5 | Journal Article |

Secure Remote Cloud File Sharing With Attribute-Based Access Control and Performance Optimization

E Chen;Yan Zhu;Kaitai Liang;Hongjian Yin

IEEE Transactions on Cloud Computing
Year: 2023 | Volume: 11, Issue: 1 | Journal Article |
Cited by: Papers (4)
The increasing popularity of remote Cloud File Sharing (CFS) has become a major concern for privacy breach of sensitive data. Aiming at this concern, we present a new resource sharing framework by integrating enterprise-side Attribute-Based Access Control/eXtensible Access Control Markup Language (ABAC/XACML) model, client-side Ciphertext-Policy Attribute-Based Encryption (CP-ABE) scheme, and clou...Show More

Secure Remote Cloud File Sharing With Attribute-Based Access Control and Performance Optimization

E Chen;Yan Zhu;Kaitai Liang;Hongjian Yin

Year: 2023 | Volume: 11, Issue: 1 | Journal Article |

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints

Zhendong Zhao;Xiaojun Chen;Yuexin Xuan;Ye Dong;Dakui Wang;Kaitai Liang

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2022 | Conference Paper |
Cited by: Papers (38)
Backdoor attack is a type of serious security threat to deep learning models. An adversary can provide users with a model trained on poisoned data to manipulate prediction behavior in test stage using a backdoor. The backdoored models behave normally on clean images, yet can be activated and output incorrect prediction if the input is stamped with a specific trigger pattern. Most existing backdoor...Show More

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints

Zhendong Zhao;Xiaojun Chen;Yuexin Xuan;Ye Dong;Dakui Wang;Kaitai Liang

Year: 2022 | Conference Paper |

WordMarkov: A New Password Probability Model of Semantics

Jiahong Xie;Haibo Cheng;Rong Zhu;Ping Wang;Kaitai Liang

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
To date there are few researches on the semantic information of passwords, which leaves a gap preventing us from fully understanding the passwords characteristic and security. We propose a new password probability model for semantic information based on Markov Chain with both generalization and accuracy, called WordMarkov, that can capture the semantic essence of password samples. Further, we eval...Show More

WordMarkov: A New Password Probability Model of Semantics

Jiahong Xie;Haibo Cheng;Rong Zhu;Ping Wang;Kaitai Liang

Year: 2022 | Conference Paper |

Passtrans: An Improved Password Reuse Model Based on Transformer

Xiaoxi He;Haibo Cheng;Jiahong Xie;Ping Wang;Kaitai Liang

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Passwords have been widely used in online authentication, and they form the front line that protects our data security and privacy. But the security of password may be easily harmed by insecure password generator. Massive reports state that users are always keen to generate new passwords by reusing or fine-tuning old secrets. Once an old password is leaked, the users may suffer from credential twe...Show More

Passtrans: An Improved Password Reuse Model Based on Transformer

Xiaoxi He;Haibo Cheng;Jiahong Xie;Ping Wang;Kaitai Liang

Year: 2022 | Conference Paper |

ROSE: Robust Searchable Encryption With Forward and Backward Security

Peng Xu;Willy Susilo;Wei Wang;Tianyang Chen;Qianhong Wu;Kaitai Liang;Hai Jin

IEEE Transactions on Information Forensics and Security
Year: 2022 | Volume: 17 | Journal Article |
Cited by: Papers (24)
Dynamic searchable symmetric encryption (DSSE) has been widely recognized as a promising technique to delegate update and search queries over an outsourced database to an untrusted server while guaranteeing the privacy of data. Many efforts on DSSE have been devoted to obtaining a good tradeoff between security and performance. However, it appears that all existing DSSE works miss studying on what...Show More

ROSE: Robust Searchable Encryption With Forward and Backward Security

Peng Xu;Willy Susilo;Wei Wang;Tianyang Chen;Qianhong Wu;Kaitai Liang;Hai Jin

Year: 2022 | Volume: 17 | Journal Article |

Secure Logistic Regression for Vertical Federated Learning

Daojing He;Runmeng Du;Shanshan Zhu;Min Zhang;Kaitai Liang;Sammy Chan

IEEE Internet Computing
Year: 2022 | Volume: 26, Issue: 2 | Magazine Article |
Cited by: Papers (24)
Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on distributed asynchronous task framework. Compared to the exi...Show More

Secure Logistic Regression for Vertical Federated Learning

Daojing He;Runmeng Du;Shanshan Zhu;Min Zhang;Kaitai Liang;Sammy Chan

Year: 2022 | Volume: 26, Issue: 2 | Magazine Article |

Dual Access Control for Cloud-Based Data Storage and Sharing

Jianting Ning;Xinyi Huang;Willy Susilo;Kaitai Liang;Ximeng Liu;Yinghui Zhang

IEEE Transactions on Dependable and Secure Computing
Year: 2022 | Volume: 19, Issue: 2 | Journal Article |
Cited by: Papers (43)
Cloud-based data storage service has drawn increasing interests from both academic and industry in the recent years due to its efficient and low cost management. Since it provides services in an open network, it is urgent for service providers to make use of secure data storage and sharing mechanism to ensure data confidentiality and service user privacy. To protect sensitive data from being compr...Show More

Dual Access Control for Cloud-Based Data Storage and Sharing

Jianting Ning;Xinyi Huang;Willy Susilo;Kaitai Liang;Ximeng Liu;Yinghui Zhang

Year: 2022 | Volume: 19, Issue: 2 | Journal Article |

JSCSP: A Novel Policy-Based XSS Defense Mechanism for Browsers

Guangquan Xu;Xiaofei Xie;Shuhan Huang;Jun Zhang;Lei Pan;Wei Lou;Kaitai Liang

IEEE Transactions on Dependable and Secure Computing
Year: 2022 | Volume: 19, Issue: 2 | Journal Article |
Cited by: Papers (4)
To mitigate cross-site scripting attacks (XSS), the W3C group recommends web service providers to employ a computer security standard called Content Security Policy (CSP). However, less than 3.7 percent of real-world websites are equipped with CSP according to Google’s survey. The low scalability of CSP is incurred by the difficulty of deployment and non-compatibility for state-of-art browsers. To...Show More

JSCSP: A Novel Policy-Based XSS Defense Mechanism for Browsers

Guangquan Xu;Xiaofei Xie;Shuhan Huang;Jun Zhang;Lei Pan;Wei Lou;Kaitai Liang

Year: 2022 | Volume: 19, Issue: 2 | Journal Article |

Efficient Encrypted Data Search With Expressive Queries and Flexible Update

Jianting Ning;Jiageng Chen;Kaitai Liang;Joseph K. Liu;Chunhua Su;Qianhong Wu

IEEE Transactions on Services Computing
Year: 2022 | Volume: 15, Issue: 3 | Journal Article |
Cited by: Papers (19)
Outsourcing encrypted data to cloud servers that has become a prevalent trend among Internet users to date. There is a long list of advantages on data outsourcing, such as the reduction cost of local data management. How to securely operate encrypted data (remotely), however, is the top-rank concern over data owner. Liang et al. proposed a novel encrypted cloud-based data share and search system w...Show More

Efficient Encrypted Data Search With Expressive Queries and Flexible Update

Jianting Ning;Jiageng Chen;Kaitai Liang;Joseph K. Liu;Chunhua Su;Qianhong Wu

Year: 2022 | Volume: 15, Issue: 3 | Journal Article |

On-the-Fly Privacy for Location Histograms

George Theodorakopoulos;Emmanouil Panaousis;Kaitai Liang;George Loukas

IEEE Transactions on Dependable and Secure Computing
Year: 2022 | Volume: 19, Issue: 1 | Journal Article |
Cited by: Papers (6)
An important motivation for research in location privacy has been to protect against user profiling, i.e., inferring a user’s political affiliation, wealth level, sexual preferences, religious beliefs, and other sensitive attributes. Existing approaches focus on distorting or suppressing individual locations, but we argue that, for directly protecting against profiling, it is more appropria...Show More

On-the-Fly Privacy for Location Histograms

George Theodorakopoulos;Emmanouil Panaousis;Kaitai Liang;George Loukas

Year: 2022 | Volume: 19, Issue: 1 | Journal Article |

Blockchain-Based Software Architecture Development for Service Requirements With Smart Contracts

Yan Zhu;Qian Guo;Hongjian Yin;Kaitai Liang;Stephen S. Yau

Computer
Year: 2021 | Volume: 54, Issue: 12 | Magazine Article |
Cited by: Papers (2)
We review the background, classification, specifications, and related aspects of using smart contracts in blockchain services and introduce a framework for generating a general software architecture in the context of contract-oriented programming.Show More

Blockchain-Based Software Architecture Development for Service Requirements With Smart Contracts

Yan Zhu;Qian Guo;Hongjian Yin;Kaitai Liang;Stephen S. Yau

Year: 2021 | Volume: 54, Issue: 12 | Magazine Article |

Practical Threshold Multi-Factor Authentication

Wenting Li;Haibo Cheng;Ping Wang;Kaitai Liang

IEEE Transactions on Information Forensics and Security
Year: 2021 | Volume: 16 | Journal Article |
Cited by: Papers (19)
Multi-factor authentication (MFA) has been widely used to safeguard high-value assets. Unlike single-factor authentication (e.g., password-only login), $t$ -factor authentication ( $t$ FA) requires a user always to carry and present $t$ specified factors so as to strengthen the security of login. Nevertheless, this may restrict user experience in limiting the flexibility of factor usage, e.g., ...Show More

Practical Threshold Multi-Factor Authentication

Wenting Li;Haibo Cheng;Ping Wang;Kaitai Liang

Year: 2021 | Volume: 16 | Journal Article |

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