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Article
Open AccessSelf-Adaptive Incremental PCA-Based DBSCAN of Acoustic Features for Anomalous Sound Detection
In modern industry, maintaining continuous machine operations is important for improving production efficiency and reducing costs. Therefore, the smart technology of acoustic monitoring to detect anomalous mac...
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Chapter and Conference Paper
Automatic EPS Calculation Guided Genetic Algorithm and Incremental PCA Based DBSCAN of Extracted Acoustic Features for Anomalous Sound Detection
This paper focuses on automatic detection of anomalies in audio files. We introduce an automated unsupervised algorithm which integrates AEC-guided Genetic Algorithm and Incremental PCA and DBSCAN to detect th...
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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
Privacy-Preserving Blockchain-Based Traceability System with Decentralized Ciphertext-Policy Attribute-Based Encryption
Traceability, being the ability to access information of an item throughout its lifecycle, plays an important part in current supply chain, facilitating prompt response in case of incidents. In recent years, b...
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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
Updatable, Aggregatable, Succinct Mercurial Vector Commitment from Lattice
Vector commitments (VC) and their variants attract a lot of attention due to their wide range of usage in applications such as blockchain and accumulator. Mercurial vector commitment (MVC), as one of the impor...
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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
MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow
It is a vital step to evaluate drug-like compounds in terms of absorption, distribution, metabolism, excretion, and toxicity (ADMET) in drug design. Classical single-task learning based on abundant labels has ...
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Chapter and Conference Paper
Asymmetric Group Message Franking: Definitions and Constructions
As online group communication scenarios become more and more common these years, malicious or unpleasant messages are much easier to spread on the internet. Message franking is a crucial cryptographic mechanis...
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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
Analyzing the Error Rates of Bitcoin Clustering Heuristics
Bitcoin is a decentralized peer-to-peer cryptocurrency. Bitcoin’s strong cryptography ensures anonymity that makes it possible to profit from crimes such as ransomware attacks and money laundering. Unfortunate...
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Chapter and Conference Paper
Making Private Function Evaluation Safer, Faster, and Simpler
In the problem of two-party private function evaluation (PFE), one party \(\mathsf {P}_{\mathsf {A}}\) ...
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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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Article
Classifying encrypted traffic using adaptive fingerprints with multi-level attributes
With the rapid development of Internet, network management and monitoring face a number of challenges, one of which is traffic classification. Meanwhile, SSL/TLS protocols are extensively used to encrypt the c...
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Article
Editorial: Security and Privacy in Computing and Communications
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Article
ShadowFPE: New Encrypted Web Application Solution Based on Shadow DOM
Most of users hesitate to use third-party web applications because of security and privacy concerns. An ideal solution would be to allow apps to work with encrypted data, so that users might be more willing to...
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Article
Understanding deep face anti-spoofing: from the perspective of data
Face biometrics systems are increasingly used by many business applications, which can be vulnerable to malicious attacks, leading to serious consequences. How to effectively detect spoofing faces is a critica...
