In paper, consider nonparametric algorithms for the identification and control of multidimensional discrete-continuous processes that are typical for many practical problems. The main feature of the considered multidi...
详细信息
With the development of cloud storage technology, the advantages of cloud storage technology such as easy expansion, fast computing and controllable resources are favored by users. More and more users choose to store ...
详细信息
ISBN:
(纸本)9798350351705;9798350351699
With the development of cloud storage technology, the advantages of cloud storage technology such as easy expansion, fast computing and controllable resources are favored by users. More and more users choose to store data in the cloud, but at the same time, they also lose the control over the data. Many schemes implement data integrity verification by introducing third-party auditors (TPA), but TPA is not completely trusted. There may be collusion with CSPS to steal user data or damage data. Traditional table structure can not solve the problem of dynamic update of remote data block, while Merkle hash tree data structure can solve the problem of dynamic update, but the efficiency is not optimal. Therefore, this paper proposes a cloud data integrity audit scheme based on blockchain, which introduces blockchain, realizes data integrity verification through its decentralization, immutable and other characteristics, and proposes a set of credit-based consensus strategy based on the license chain to ensure the security of the system. In addition, a multi-branch path tree (LP-MBT) based on local priority is proposed. LP-MBT enables users to quickly locate data blocks to be updated and optimizes the dynamic update scheme. Finally, the safety analysis shows that the scheme is provably safe, and the performance evaluation shows the effectiveness of the scheme.
Current research on log analysis is mainly implemented on complex recurrent or convolutional neural networks. In this study, we propose a new concise network architecture with an excellent performance which based on m...
详细信息
A Programmable Logic controller (PLC) is an essentially domain-specific computer used to control physical equipment and is widely used in industrial control fields. It plays a crucial role in automating complex proces...
详细信息
Active transport plays a vital role in sustainable transport and urban planning and is beneficial for people's health. Since improving active transport facilities improves safety and convenience for users, it is i...
详细信息
Active transport plays a vital role in sustainable transport and urban planning and is beneficial for people's health. Since improving active transport facilities improves safety and convenience for users, it is important to measure the performance of active transport facilities. Walking speed has been recognised as the main design factor for pedestrian facilities. The purpose of this study is to identify key factors that affect walking speed. Therefore, this study reviews 41 papers with 191 samples and collects external data of quality of life indexes to control the built environment and economic status of each case. A two-step modelingprocess is developed. First, DBSCAN was used to identify the similarities among the samples. The three clusters (i.e., developed countries, developing countries with higher population density, and developing countries with lower population density) identified are one of the inputs into the second stage where a meta-analysis regression model was used to find critical factors influencing walking speed. Factors with significant positive impacts on walking speed are young pedestrians, cold weather, and two of the DBSCAN clusters (i.e., developed countries, and developing countries with lower population density). Factors that have significant negative impacts on walking speed are elderly pedestrians, female pedestrians, wearing specific clothing, commercial land use, and measuring speed as mean speed (compared to free flow speed). Being in a developed country is found to have the greatest negative impact on walking speed. This study further compares the worldwide Global Street Design Guide indicators with the meta-analysis model results. Findings provide policymakers and planners with a clear guide on the design of facilities for pedestrians to improve walking speed.
In human-robot collaboration (HRC), robots interact physically with humans in a shared environment, without the typical barriers or protective cages used in traditional robotics systems, it is therefore essential to c...
详细信息
The proceedings contain 33 papers. The special focus in this conference is on data Privacy Management. The topics include: reteLLMe: Design Rules for Using Large Language Models to Protect the Privacy o...
ISBN:
(纸本)9783031823619
The proceedings contain 33 papers. The special focus in this conference is on data Privacy Management. The topics include: reteLLMe: Design Rules for Using Large Language Models to Protect the Privacy of Individuals in Their Textual Contributions;plausible Deniability of Redacted Text;exploring Distribution Learning of Synthetic data Generators for Manifolds;HEDAS: Secure and Efficient Distributed OLAP Using Fully Homomorphic Encryption;card-Based Cryptographic Protocols for Three-Input Functions with a Standard Deck of Cards Using Private Operations;grid-Based Decompositions for Spatial data Under Local Differential Privacy;balancing Privacy and Utility in Multivariate Time-Series Classification;dynamic k-Anonymity for Electronic Health Records: A Topological Framework;Using Static Code analysis for GDPR Compliance Checks;privacy-Preserving Tabular data Generation: Systematic Literature Review;A DPIA Repository for Interdisciplinary data Protection Research;secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification;route Discovery in Private Payment Channel Networks;A Comparative Study of Rust Smart Contract SDKs for Application-Specific Blockchains;offchain Runtime Verification (for The Tezos Blockchain);quantifying Liveness and Safety of Avalanche’s Snowball;We Will DAG You;assessing the Impact of Sanctions in the Crypto Ecosystem: Effective Measures or Ineffective Deterrents?;Practical Implementation of Pairing-Based zkSNARK in Bitcoin Script;Homomorphic Encryption Based ECDSA Generation Over Five Party Protocol;benchmarking Post-quantum Cryptography in Ethereum-Based Blockchains;exploring Anomaly Detection for Marine Radar Systems;hunting Vulnerabilities in the Maritime Domain: A Domain Wide Cybersecurity Vulnerability analysis;threat modeling in Satellite Communications for Maritime Operations;cybersecurity Challenges in Industrial control Systems: An Interview Study with Asset Owners in Norway;usage of Cybersecurity Standards
In the context of today's big data era, there is an urgent need for data sharing in various industries. Traditional data sharing schemes are highly centralized and have problems such as single point of failure and...
详细信息
ISBN:
(数字)9781665402620
ISBN:
(纸本)9781665402620
In the context of today's big data era, there is an urgent need for data sharing in various industries. Traditional data sharing schemes are highly centralized and have problems such as single point of failure and data privacy leakage caused by the vulnerability of data storage systems to attackers, and there are also problems such as difficulty in determining data ownership, insufficient granularity of access control, and low transparency of data sharing process. In this paper, an access control model for data sharing based on smart contract and user credit (SCUC-DSAC) is proposed. Based on the consortium blockchain, the attribute-based access control strategy and user credit are combined to provide dynamic and fine-grained access control for users. The data in the model is encrypted and stored in the interstellar file system. The access authorization process is implemented in the smart contract to improve the transparency of the data sharing process. Theoretical and experimental analysis shows that this model meets the functional and security requirements in data sharing scenarios, and the performance of blockchain network is good.
Smart grid databases store a vast amount of sensitive data and require secure auditing to ensure the protection of the data. Traditional methods of auditing smart grid databases are time-consuming and often rely on ma...
详细信息
The Fast Fourier Transform is the unique tool enabling to engage the frequency domain analysis in detection and isolation of periodic disturbances in industrial processes containing rotating elements. Nevertheless, th...
详细信息
ISBN:
(纸本)9781665406734
The Fast Fourier Transform is the unique tool enabling to engage the frequency domain analysis in detection and isolation of periodic disturbances in industrial processes containing rotating elements. Nevertheless, there exist particular problems where the time-domain examination of oscillations can provide equally or more accurate results with less effort. Specific data sampling, filtering and process modelling are introduced in the paper with the aim to classify sources of oscillations in the process of cold rolling. Although the FFT may not be part of the method itself, its use allows to illustrate the presented research.
暂无评论