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检索条件"任意字段=Conference on Advances in Optical Data Storage Technology"

共 5080 条记录，以下是261-270 订阅

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BECDS: A secure blockchain-based electricity customer data storage scheme for smart grid 2

BECDS: A secure blockchain-based electricity customer data s...

引用

2nd International conference on Energy, Power, and Electrical technology, ICEPET 2023

作者： Huang, Guoshu Han, Tingting Li, Dongsheng Han, Chenchen School of Computer Science and Mathematics Fujian University of Technology Fuzhou350100 China School of Information Science and Engineering Chongqing Jiaotong University Chongqing400074 China School of Computer & Information Technology Northeast Petroleum University Daqing163318 China State Grid Zhejiang Marketing Service Center Hangzhou311100 China

ISBN: (纸本)9781510668270

As the power consumption increases year by year, the traditional power network can no longer meet the new demands of power grid development. In this context, smart grid is proposed as the next-generation grid development direction. However, the informationization of power grid will certainly bring the explosive growth of customers' power consumption data, which brings challenges to the security and management of power data. Blockchain, as a distributed cryptographic ledger, is considered as a powerful tool to ensure data security. This paper first analyses the current risks and problems of electricity customers data security in smart grids and proposes to solve them with blockchain. Then, this paper proposes a secure blockchain-based electricity customers data storage scheme (BECDS) and gives its framework. Finally, this paper uses cryptographic vector commitment to construct a distributed and verifiable data storage scheme based on blockchain, and proves that the scheme proposed in this paper is secure in the scheme evaluation. © 2023 SPIE.

关键词： Blockchain

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Application of 5G Communication technology in Real-Time Monitoring and Remote Control of Gas Reservoir Type storage 2

Application of 5G Communication Technology in Real-Time Moni...

引用

2nd IEEE International conference on Image Processing and Computer Applications, ICIPCA 2024

作者： Liu, Yujuan Daqing Oilfield Gas Production Company Daqing China

ISBN: (纸本)9798350360240

A set of long-term, continuous and high-precision dynamic monitoring system for oil reservoirs has been developed. Using fiber Bragg grating (FBG) as a permanent sensor in deep Wells, the temperature and pressure of the target layer can be simulated and detected. A data acquisition and analysis device are set up in the well to realize the demodulation and digitization of the analog quantity. The system uses GPRS mobile communication system to transmit data to the database of the monitoring center. And it can be published on the Internet in web format. It also provides users with a browsing interface and an alert SMS message in case of data anomalies. The data of oil-liquid two-phase interface in gas storage were measured by optical fiber oil-oil interface tester. This project intends to use deep learning method to deeply analyze the information of oil and gas two-phase interface in salt rock reservoir, so as to realize the monitoring of oil and gas two-phase interface based on deep learning. This software can be used to monitor the reservoir remotely, in real time and dynamically, so as to make timely and accurate decisions for reservoir managers and technicians. © 2024 IEEE.

关键词： 5G mobile communication systems

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Forensic Examinations of Alexa for Smart Home Privacy and Cybercrime Investigation

Forensic Examinations of Alexa for Smart Home Privacy and Cy...

引用

20th International conference on Cyber Warfare and Security, ICCWS 2025

作者： Aljneibi, Bashaer Alameri, Mahra Alhashmi, Noora Ikuesan, Richard Iqbal, Farkhund College of Technological Innovation Zayed University Abu Dhabi United Arab Emirates

ISBN: (纸本)9781917204316

Integrating Internet of Things (IoT) devices into smart homes has necessitated the development of novel strategies to address the difficulties and complexities of cyber-attacks and privacy concerns in the current digital threat landscape. One unaddressed challenge is the lack of clarity of information collected and stored by these IoT devices in smart homes. The data storage process and privacy compliance of smart home appliances, such as security cameras, thermostats, and smart speakers, are examined in this study. More specifically, this study focuses on sensitive data storage and potential breach exposure, including user commands, timestamps, and network traffic logs of these devices. To achieve this, forensic tools were deployed to collect and examine data from gadgets like Google Nest and Amazon Alexa/Echo following an experimental setup. These technologies were used in a hypothetical investigation that intentionally breached a restricted smart home network and replicated criminal activities. The gathered data was examined to determine the proof of the breach and ensure the chain of events. The findings provided a thorough forensic investigation into the potential digital artifacts within the device and exposed prevalent vulnerabilities of IoT ecosystems regarding usage privacy. This study advances the fields of digital forensics and smart home security by offering useful insights and suggestions for improving the security of IoT devices. © 2025 Proceedings of the International conference on Information Warfare and Security (ICCWS). All rights reserved.

关键词： Sensitive data

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Research on key distribution methods supporting trusted data migration of cloud platform

Research on key distribution methods supporting trusted data...

引用

2024 International conference on Computer Network Security and Software Engineering, CNSSE 2024

作者： Tian, Fuqiang Mou, Jun Liu, Angang Zhu, Zhongkui Lin, Maonan Wu, Hongyu Zhongdian Qixing Information Technology Co. Ltd. Sichuan Chengdu610000 China

ISBN: (纸本)9781510680234

Cloud computing is a significant leap in the development process of the information industry. It integrates computing, storage, network, and other information resources organically, providing more convenient means for deep sharing and utilization, making the acquisition of information resources no longer limited by time and space. Cloud computing platform has become one of the important components of Information infrastructure, providing an important computing foundation for promoting the Digital transformation of the industry. As cloud computing platforms are increasingly accepted, more and more enterprises are migrating applications and data migration to the cloud to effectively break through the limitations of local computing and storage resources, and make better use of the development trend of the cloud’s powerful analysis and processing capabilities. Therefore, to ensure the security and credibility of cloud platform data migration, this paper proposes a key allocation method based on the hash function to support the trusted migration of cloud platform data. Experimental results have shown that the cloud platform key allocation scheme proposed in this article can effectively improve the security capabilities of the cloud platform compared to traditional key allocation schemes. © 2024 SPIE.

关键词： Hash functions

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High speed Brillouin optical time-domain reflectometry based on frequency-agile and compressed sensing 3

High speed Brillouin optical time-domain reflectometry based...

引用

3rd International Computing Imaging conference, CITA 2023

作者： Lu, Yuting Zhang, Naiping Gao, Xianfeng Shui, Biao Wu, Jun Central China Branch of State Grid Corporation of China Wuhan430077 China State Key Laboratory of Optical Fibre and Cable Manufacture Technology State Key Laboratory of Optical Fibre and Cable Manufacture Technology Wuhan430073 China

ISBN: (纸本)9781510671409

A scheme of high-speed Brillouin optical time domain reflectometry (BOTDR) based on frequency- agile and compressed sensing is proposed and experimentally validated, using an adaptive sparse basis for the data obtained by the principal component analysis algorithm to achieve a sparse representation of the Brillouin spectrum. Then, using random frequency sampling and orthogonal matching pursuit algorithm, the reconstruction is successfully implemented. In the experiments, a conventional high-speed BOTDR mapping Brillouin gain spectrum (BGS) is used, where the frequency step and span are 4 MHz and 500 MHz, respectively. 37 random frequency samples of BGS are successfully recovered using compressed sensing technique, and the number of samples is only 30% of the full data. The compressed sensing technique can improve the sensing performance of conventional fast BOTDR at lower sampling frequencies, including a 3.3-fold increase in sampling rate or a 70% reduction in data storage. © 2023 SPIE.

关键词： Compressed sensing

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A Parallel Algorithm and Scalable Architecture for Routing in Benes Networks

A Parallel Algorithm and Scalable Architecture for Routing i...

引用

IEEE conference on Computer Communications (IEEE INFOCOM)

作者： Zecharia, Rami Shavitt, Yuval Tel Aviv Univ Sch Elect Engn Tel Aviv Israel

ISBN: (纸本)9798350383515;9798350383508

Benes/CLOS architectures are common scalable interconnection networks widely used in backbone routers, data centers, on-chip networks, multi-processor systems, and parallel computers. Recent advances in Silicon Photonic technology, especially MZI technology, have made Benes networks a very attractive scalable architecture for optical circuit switches. Numerous routing algorithms for Bene.s networks were developed starting with linear algorithms having time complexity of O(N log(2) N) steps. Parallel routing algorithms were developed to satisfy the stringent timing requirements of high-performance switching networks and have time complexity of O((log(2) N)(2)). However, their implementation requires O(N-2 log(2) N) wires (termed connectivity complexity), and thus are difficult to scale. We present a new routing algorithm for Bene.s networks combined with a scalable hardware architecture that supports full and partial input permutations. The processing time of the algorithm is limited to O((log(2) N)(2)) steps (iterations) by potentially forfeiting routing of a few input demands;however achieves close to 100% utilization for both full and partial input permutations. The algorithm and architecture allow a reduction of the connectivity complexity to O(N-2), a logN improvement over previous solutions. We prove the algorithm correctness, and analyze its performance analytically and with large scale simulations.

关键词： Benes Network Switch Fabric optical Switch

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Optimization design of computer information processing systems in the big data perspective

Optimization design of computer information processing syste...

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2023 International conference on Computer Graphics, Artificial Intelligence, and data Processing, ICCAID 2023

作者： Zheng, Zhaoxia Chi Feng Institute of Industrial Technology Inner Mongolia Chifeng024000 China

ISBN: (纸本)9781510677685

Computer information processing systems face numerous challenges in the context of big data, and optimization design provides an important avenue to enhance system performance in handling large datasets. This paper first analyzes the bottlenecks, inefficiencies, and poor scalability challenges that big data poses to existing systems. Subsequently, it proposes three system optimization design approaches: modular design, pipeline parallel processing, and elastic scaling mechanisms. Specific solutions such as modular segmentation, MapReduce pipeline implementation, and dynamic resource allocation are presented based on these optimization ideas. These optimization strategies and design solutions effectively enhance the system's scalability and processing performance in the face of big data. Therefore, this paper offers important insights and approaches to drive the evolution of computer information processing systems into the era of big data. © 2024 SPIE.

关键词： Digital storage

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Research on defect detection and wall thickness analysis of fully-wrapped carbon fiber reinforced hydrogen storage cylinder for unmanned aerial vehicles by industrial computed tomography

Research on defect detection and wall thickness analysis of ...

引用

2023 International conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2023

作者： Shi, Yan Shen, Zitao Zhao, Li Xie, Shijie Miao, Cunjian Tang, Ping Zhejiang Academy of Special Equipment Science Zhejiang Hangzhou310020 China Key Laboratory of Special Equipment Safety Testing Technology of Zhejiang Province Zhejiang Hangzhou310020 China

ISBN: (纸本)9781510674608

The thin-walled structure of fully-wrapped carbon fiber reinforced hydrogen storage cylinders for unmanned aerial vehicles elevates the requirements for mechanical processing and non-destructive testing. Industrial computed tomography technology can offer valuable information on the distribution of the linear attenuation coefficient inside the tested object, enabling intuitive defect detection and size measurement. Here, we conducted defect detection and wall thickness analysis by industrial computed tomography on the hydrogen storage cylinder for unmanned aerial vehicles and found that the thickness of delamination defects at the cylinder neck and cylindrical shell was approximately equivalent. The wall thickness of the Al liner and carbon fiber layer exhibited relative minimum and maximum values at the Al liner abnormal area, respectively, likely resulting from that the sudden thickening of the carbon fiber layer caused the Al liner to shift inward under the additional pressure from the carbon fiber layer. These results proved that industrial computed tomography technology could effectively inspect the quality of hydrogen storage cylinders for unmanned aerial vehicles. © 2024 SPIE.

关键词： Hydrogen storage

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Enhanced Safety in the Cloud through ECC and Admission Restriction

Enhanced Safety in the Cloud through ECC and Admission Restr...

引用

2023 International conference on advances in Computation, Communication and Information technology, ICAICCIT 2023

作者： Singh, Vaishali Aruna, M. Somanna, M. N. Varun Maharishi University of Information Technology Maharishi School of Engineering & Technology Uttar Pradesh India Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350344387

The objective of this research is to provide a cutting-edge security system intended to protect personal information of users in a cloud setting. Controlling access techniques, encoding, and decode procedures are all included in this complex safety framework. A novel key generation procedure that makes use of the cryptography of elliptic curves is presented in order to strengthen security precautions and guarantee the production of very secure keys. Furthermore, a novel Identity-based Elliptic Curve Access Control (Id-EAC) method is put forward for restricting user use of a variety of data kinds. To further improve user privacy in the cloud the surroundings, a novel binary-value-based a two-phase encryption as well as decryption technique is provided. Within the aforementioned safety A system, a Compact Virtual Signatures Mechanism built on a modulo value is presented to guarantee data consistency. Users are assured of high standards of data protection, ease of use, and integrity by the security framework. Research findings highlight the edge of the solutions recommended in the aforementioned framework, demonstrating improved reliability and safety over current approaches. © 2023 IEEE.

关键词： access control Cloud storage data integrity decryption digital signature encryption lightweight digital signature algorithm and performance analysis security architecture

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Exploring Diabetic Retinopathy Diagnosis: Insights from a Comprehensive Literature Review and Initial Fundus Image Analysis

Exploring Diabetic Retinopathy Diagnosis: Insights from a Co...

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2024 International conference on Electrical, Electronics and Computing Technologies, ICEECT 2024

作者： Kumar Reddy, K Uday Malleswari, M. Kumar Reddy, P Phanindra Karimullah, Shaik Shaik, Fahimuddin Hariobulesu, Peddapullaiahgari Annamacharya University Artificial Intelligence and Data Science Department Rajampet India Sri Annamacharya Institute of Technology and Sciences Computer Science and Engineering Department India Annamacharya University AI&DS Department Rajampet India Annamacharya University ECE Department Rajampet India

ISBN: (纸本)9798350378092

This article looks at recent advances in diabetic retinopathy (DR) detection with retinal fundus and optical coherence tomography angiography (OCTA) pictures. Key studies have investigated a variety of methods, including combining Multiscale Retinex with Chromaticity Preservation (MSRCP) and Bi-LSTM networks for high accuracy, integrating the Internet of Things (IoT) with deep learning for increased sensitivity, and using Multi-Stream Deep Neural Networks to classify DR severity. Innovations like the PMNPDR system for microaneurysm detection and deep learning ensembles for OCT images have also performed well. Despite these gains, issues like as data transfer latency, model complexity, and reliance on tiny datasets remain. Overall, while current models show great potential, they require further modification and validation to assure their efficacy and applicability in clinical situations. © 2024 IEEE.

关键词： optical coherence tomography

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