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Chapter and Conference Paper
Removing Noise (Opinion Messages) for Fake News Detection in Discussion Forum Using BERT Model
The exponential growth and widespread of fake news in online media have been causing unprecedented threats to the election result, public hygiene and justice. With ever-growing contents in online media, scruti...
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Chapter and Conference Paper
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning Based on MKTFHE
In recent years, distributed machine learning has garnered significant attention. However, privacy continues to be an unresolved issue within this field. Multi-key homomorphic encryption over torus (MKTFHE) is...
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Chapter and Conference Paper
Post-Quantum Public-Key Authenticated Searchable Encryption with Forward Security: General Construction, and Applications
Public-key encryption with keyword search (PEKS) was first proposed by Boneh et al. (EUROCRYPT 2004), achieving the ability to search for ciphertext files. Nevertheless, it is vulnerable to inside keyword guessin...
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Chapter and Conference Paper
Cross-Task Physical Adversarial Attack Against Lane Detection System Based on LED Illumination Modulation
Lane detection is one of the fundamental technologies for autonomous driving, but it faces many security threats from adversarial attacks. Existing adversarial attacks against lane detection often simplify it ...
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Chapter and Conference Paper
A Hierarchical Watermarking Scheme for PRFs from Standard Lattice Assumptions
A software watermarking scheme is to embed a “mark” or a message into a program in a cryptographic way. It is useful in proving ownership (e.g., in applications to digital rights management) and in authenticat...
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Chapter and Conference Paper
Detecting Anomalous Programmable Logic Controller Events Using Process Mining
Programmable logic controllers that monitor and control industrial processes are attractive targets for cyber attackers. Although techniques and tools have been developed for detecting anomalous programmable l...
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Chapter and Conference Paper
Related-Tweak Impossible Differential Cryptanalysis of Reduced-Round TweAES
We consider the related-tweak impossible differential cryptanalysis of TweAES. It is one of the underlying primitives of Authenticated Encryption with Associated Data (AEAD) scheme ESTATE which was accepted as on...
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Chapter and Conference Paper
Towards Practical Homomorphic Time-Lock Puzzles: Applicability and Verifiability
Time-lock puzzle schemes allow one to encrypt messages for the future. More concretely, one can efficiently generate a time-lock puzzle for a secret/solution s, such that s remains hidden until a specified time T
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Chapter and Conference Paper
Privacy-Preserving Computing Framework for Encrypted Data Under Multiple Keys
With the popularity of cloud computing, data owners encrypt their data with different keys before uploading data to the cloud due to privacy concerns. Homomorphic encryption makes it possible to calculate on e...
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Chapter and Conference Paper
Forced Independent Optimized Implementation of 4-Bit S-Box
Searching the optimal circuit implementation of a Boolean function is still an open problem. This work proposes a new optimizing scheme, which could find circuit expressions with optimal gate equivalent comple...
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Chapter and Conference Paper
A Secure and Self-tallying E-voting System Based on Blockchain
E-voting has been studied for many years. Recently, researchers find that blockchain can provide an alternative secure platform for e-voting systems, because of its properties of tamper resistance and transpar...
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Chapter and Conference Paper
Leakage-Resilient Inner-Product Functional Encryption in the Bounded-Retrieval Model
We propose a leakage-resilient inner-product functional encryption scheme (IPFE) in the bounded-retrieval model (BRM). This is the first leakage-resilient functional encryption scheme in the BRM. In our leakag...
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Chapter
A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning
Federated learning (FL) has great potential for coalescing isolated data islands. It enables privacy-preserving collaborative model training and addresses security and privacy concerns. Besides booming technol...
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Chapter and Conference Paper
An Incident Response Model for Industrial Control System Forensics Based on Historical Events
Cyber attacks on industrial control systems are increasing. Malware such as Stuxnet, Havex and BlackEnergy have demonstrated that industrial control systems are attractive targets for attackers. However, indus...
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Chapter and Conference Paper
A Forensic Logging System for Siemens Programmable Logic Controllers
Critical infrastructure assets are monitored and managed by industrial control systems. In recent years, these systems have evolved to adopt common networking standards that expose them to cyber attacks. Since...
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Chapter and Conference Paper
Enhancing the Security and Forensic Capabilities of Programmable Logic Controllers
Industrial control systems are used to monitor and operate critical infrastructures. For decades, the security of industrial control systems was preserved by their use of proprietary hardware and software, and...
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Chapter and Conference Paper
Privacy-Preserving Disease Risk Test Based on Bloom Filters
Decreasing costs in genome sequencing have been paving the way for personalised medicine. An increasing number of individuals choose to undergo disease risk tests provided by medical units. However, it poses s...
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Chapter and Conference Paper
Relevant Fact Selection for QA via Sequence Labeling
Question answering (QA) is a very important, but not yet completely resolved problem in artificial intelligence. Solving the QA problem consists of two major steps: relevant fact selection and answering the qu...
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Chapter and Conference Paper
LRCRYPT: Leakage-Resilient Cryptographic System (Design and Implementation)
Due to the advancement of side-channel attacks, leakage-resilient cryptography has attracted a lot of attention in recent years. Many fruitful results have been proposed by researchers. Most, if not all, of th...
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Chapter and Conference Paper
Privacy-Preserving Elastic Net for Data Encrypted by Different Keys - With an Application on Biomarker Discovery
Elastic net is a popular linear regression tool and has many important applications, in particular, finding genomic biomarkers for cancers from gene expression profiles for personalized medicine (elastic net i...