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Theoretical differential fault attacks on FLIP and FiLIP
In this article, we examine Differential Fault Attacks (DFA) targeting two stream ciphers, FLIP and FiLIP. We explore the fault model where an...
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Fault Detection and Identification on Pneumatic Production Machine
Pneumatic cylinders have become integral parts of today’s production machinery. In the age of just-in-time inventory system and with it the related...
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Probabilistic Fault Diagnosis of Clustered Faults for Multiprocessor Systems
With the development of high-performance computing and the expansion of large-scale multiprocessor systems, it is significant to study the...
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Bearing fault diagnosis using multiple feature selection algorithms with SVM
This paper presents an efficient approach to diagnose defects in various components of bearings in rotating machines using vibration signature...
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Enhancing fault localization in microservices systems through span-level using graph convolutional networks
In the domain of cloud computing and distributed systems, microservices architecture has become preeminent due to its scalability and flexibility....
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Fault Modelling with Structural BDDs
In this chapter, we propose methods for modelling faults in structural Binary Decision Diagrams (BDDs). We show how to map the nodes in different...
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Improving fault tolerance in LinuX container-based distributed systems using blockchain
Nowadays, with the development of science and technology, as well as the increase of important data and transactions, maintaining these data and...
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Enhanced generative adversarial networks for bearing imbalanced fault diagnosis of rotating machinery
AbstractTraditional rolling bearing fault diagnosis approaches require a large amount of fault data in advance, while some specific fault data is...
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Microservices enabled bidirectional fault-tolerance scheme for healthcare internet of things
An immense volume of data is generated in smart health environments which can be managed through fog computing. Fog computing provides computing and...
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Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis techniques to prevent undesired interruptions and...
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Rotating machinery fault diagnosis based on feature extraction via an unsupervised graph neural network
Fault diagnosis is an essential process for the health maintenance of rotating machinery. With the development of AI technology, many deep...
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Detection of security vulnerabilities in cryptographic ICs against fault injection attacks based on compressed sensing and basis pursuit
Cryptographic integrated circuits (ICs) used to implement cryptographic algorithms have been widely applied to numerous security-critical...
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Container cascade fault detection based on spatial–temporal correlation in cloud environment
Containers are light, numerous, and interdependent, which are prone to cascading fault, increasing the probability of fault and the difficulty of...
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An Investigation of Fault Detection in Electrical Distribution Systems Using Deep Neural Networks
The primary goal of the research is to detect and classify defects in electrical distribution networks using deep learning techniques. At a fault...
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Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics
Fault diagnosis is required to ensure the safe operation of various equipment and enables real-time monitoring of associated components. As a result,...
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Two-view LSTM variational auto-encoder for fault detection and diagnosis in multivariable manufacturing processes
Process monitoring of industrial production has always been one of the main concerns of process industry systems. As artificial intelligence booms,...
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SoK: Assisted Fault Simulation
Fault injection attacks have caused implementations to behave unexpectedly, resulting in a spectacular bypass of security features and even the...
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Fault-tolerant identity-based encryption from SM9
This paper initiates the formal study of attribute-based encryption within the framework of SM9, the Chinese National Cryptography Standard for...
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An Intelligent Fault Detection Framework for HVAC Systems with Alert Generation
The HVACs used in commercial buildings are one of the major electricity consumers. They undergo periodic inspections to prevent discomfort and...
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Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance
The intelligent fault diagnosis method based on deep learning has become a powerful tool for analyzing mechanical big data. However, a large...
