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检索条件"任意字段=2023 International Conference on Algorithms, Computing and Data Processing, ACDP 2023"

共 6952 条记录，以下是431-440 订阅

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A New Scalable Distributed Homomorphic Encryption Scheme for High Computational Complexity Models 19

A New Scalable Distributed Homomorphic Encryption Scheme for...

引用

19th IEEE international Wireless Communications and Mobile computing (IEEE IWCMC)

作者： Almaini, Amar Folz, Jakob Woelfl, Dominik Al-Dubai, Ahmed Schramm, Martin Heigl, Michael Edinburgh Napier Univ Deggendorf Inst Technol Deggendorf Germany Deggendorf Inst Technol Deggendorf Germany Edinburgh Napier Univ Edinburgh Midlothian Scotland

ISBN: (纸本)9798350333398

Due to the increasing privacy demand in data processing, Fully Homomorphic Encryption (FHE) has recently received growing attention for its ability to perform calculations over encrypted data. Since the data can be processed in encrypted form and the output remains encrypted, only an authorized user or a user who holds the key can decrypt the data and understand its meaning. Hence, it is possible to securely outsource data processing to untrustworthy but powerful public computing resources on the edge. However, due to the high computational complexity, FHE-based data processing experiences scalability related concerns. It is currently unclear whether FHE can be used to solve large-scale problems. In this paper, we propose a novel general distributed FHE-based data processing approach as a concrete step towards solving the scalability challenge. The main idea behind our approach is to use slightly more communication overhead for a shorter computing circuit in FHE, hence, reducing the overall complexity. We verify our new model's efficiency and effectiveness by comparing the distributed approach with the central approach over various FHE schemes (CKKS, BGV, and BFV). This is performed using one of the most popular libraries of FHE "Microsoft SEAL", by performing specific mathematical operations and observing the time consumed. The empirical results demonstrate that the proposed approach results in a significant reduction in time, up to 54% compared to the traditional central approach.

关键词： Fully Homomorphic Encryption Distributed data processing Microsoft SEAL Security Edge computing

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SDKV: A Smart and Distributed Key-Value Store for the Edge-Cloud Continuum 16

SDKV: A Smart and Distributed Key-Value Store for the Edge-C...

引用

16th IEEE/ACM international conference on Utility and Cloud computing (UCC) / 10th IEEE/ACM international conference on Big data computing, Applications and Technologies (BDCAT)

作者： Poveda, Juan Aznar Pockstaller, Tobias Fahringer, Thomas Pedratscher, Stefan Samani, Zahra Najafabadi Univ Innsbruck Inst Comp Sci Innsbruck Austria

ISBN: (纸本)9798400702341

Many time-critical and data-intensive distributed applications for the computing continuum depend on low-latency, scalable, and highly available distributed key value storages. In this paper, we introduce SDKV, a scalable -Smart and Distributed Key-Value- store for the Edge-Cloud continuum to automatically place data in close proximity to clients resulting in low response times. The clients of SDKV can influence data availability and access latency by specifying the number of replicas and the desired level of data consistency (strong or eventual) on a per key-value pair basis, which favors the support of a wide range of applications. Results reveal that for different workloads and client access behaviors, SDKV outperforms existing distributed data storages and their data placement algorithms by 12-69% for both consistency models. Moreover, the proposed placement algorithm of SDKV provides fast decision times and scales linearly with the number of keys.

关键词： distributed storage key-value storage data placement replica management edge-cloud continuum

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Why multilayer networks are needed for complex data analysis 2nd

Why multilayer networks are needed for complex data analysis

引用

2nd international conference on Next-Generation computing and Information Systems, ICNGCIS 2023

作者： Chakravarthy, Upendranatha Sharma The University of Texas at Arlington United States

ISBN: (纸本)9781032738659

We are on the cusp of holistically analyzing a variety of data being collected in every walk of life in diverse ways. For this, current analytics and science are being extended (Big data Analytics/Science) along with new approaches to benefit humanity at large in the best possible way. These warrants developing and/or using new approaches, technological, scientific, and systems, in addition to building upon and integrating with the ones that have been developed so far. In the first part of the presentation, we introduce multilayer networks (or MLNs) and illustrate their elegance for modeling complex data sets from well-known applications (IMDb and DBLP). Flexibility of analysis comes from this approach to modeling. We will show a dashboard that we have developed for MLN analysis. In second part of this talk, we discuss situation analysis on videos using a novel approach. We extract contents and apply stream processing techniques. This approach has the potential to process videos in real-time and raise alerts for situations, such as Nancy Pelosi’s house break-in and Las Vegas shooting. © 2025 The Author(s).

关键词： data Analytics

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Architecture proposal for adding FOG processing capability to a Smart Building Management System 9

Architecture proposal for adding FOG processing capability t...

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9th IEEE international conference on Fog and Mobile Edge computing (FMEC)

作者： Martinez Casas, David Rey Presas, Andrea Cotos Yanez, Jose M. Taboada Gonzalez, Jose A. Univ Santiago de Compostela Elect & Comp Sci Dept Comp Graph & Data Engn COGRADE Res Grp Santiago De Compostela Spain

ISBN: (纸本)9798350366495;9798350366488

This article examines the current state of the intelligent building monitoring system created for the University of Santiago de Compostela (USC) in the framework of the OPERE project and proposes a modification based on the Fog computing paradigm. The study is developed in the context of the European regulations for the energy efficiency of facilities and the reduction of greenhouse gases. The current system implements the data processing in DADIS modules, developed by this research group for the acquisition and flexible transmission of information. These modules provide the information to the monitoring system which offers functionalities such as energy consumption dashboards, configurable operation schedules and ad hoc data visualization. However, the limitations of the current system include the difficulty in scaling the processing of the acquired information and database queries. The described upgrade proposes the extensive use of MQTT to standardize communications and allow the development of stand-alone applications to scale processing. The same architecture facilitates the incorporation of Big data infrastructures that would solve even more complex query problems than those addressed in this scenario.

关键词： Smart Buildings Energy Fog computing

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Research on anomaly detection based on network data

Research on anomaly detection based on network data

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2023 international conference on algorithms, High Performance computing, and Artificial Intelligence, AHPCAI 2023

作者： Zhao, Kai Beijing Polytechnic Beijing100176 China

ISBN: (纸本)9781510671881

With the rapid development of network technology, network-based applications are becoming more and more diversified, and network security issues are becoming more and more significant. It is an urgent task to study methods to protect system security. Log system, as an important part of information system, can record all behaviors generated by the system, and most of the security risks in the system can be found by analyzing log system. To achieve the purpose of improving the system security performance. As an active network security protection measure, anomaly detection technology can detect abnormal behaviors and respond in time to effectively prevent abnormal behaviors and reduce the risk of system destruction. In this paper, public offline logs are used as data sources, common anomaly detection algorithms are studied, and effective information is obtained from massive log data to perceive the situation of network security. © 2023 SPIE. All rights reserved.

关键词： Anomaly detection

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Orangutan: A Compression Algorithm for Precision-Redundant Floating-Point Time Series 3

Orangutan: A Compression Algorithm for Precision-Redundant F...

引用

3rd international conference on High Performance computing and Communication Engineering, HPCCE 2023

作者： Zhao, Zhenshan Qu, Youli Key Laboratory of Big Data & Artificial Intelligence in Transportation Beijing Jiaotong University No. 3 Shangyuan Village Haidian District Beijing100044 China

ISBN: (数字)9781510674653

ISBN: (纸本)9781510674646

IoT devices and various sensors generate a large amount of time-series data every moment, and the cost of transmitting and storing this data is high. Compact, efficient, and lossless compression of time series is a common solution. Current state-of-the-art lossless compression algorithms for time series are based on XOR operations but do not take advantage of the fact that most floating-point sequences in real life have precision redundancy. In this paper, we propose a unique trailing bit zeroing scheme called Orangutan, which can zero as many trailing bits as possible in O(1) time without incurring any additional space overhead, resulting in a higher compression ratio. In addition, we also designed the compression and decompression methods specifically for the case of more zeroes in the tail bits and can obtain good compression results. Comparing Orangutan with 9 current state-of-the-art compression algorithms on 19 datasets shows that Orangutan is more space-efficient than the best compression algorithms currently used for time series, and the compression speed is at the same level as them. © 2024 SPIE.

关键词： Time series

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Context-aware Outlier Detection for Sensor data Stream processing

Context-aware Outlier Detection for Sensor Data Stream Proce...

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2023 IEEE international conference on Pervasive computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

作者： Benabbas, Aboubakr Grawunder, Marco Nicklas, Daniela University of Bamberg Chair of Mobile Software Systems Bamberg Germany University of Oldenburg Department of Computer Science Oldenburg Germany

ISBN: (纸本)9781665453813

Sensor data streaming platforms feed pervasive applications with data through continuous processing tasks. Outliers should be constantly removed from the data. The existence of ontologies and their semantics to express the different properties of sensing devices in semantic models can be leveraged towards solving the problem of outlier detection. We present an outlier detection data stream operator based on sensor ontology-based definitions. This outlier detection operator could be defined and adjusted to fit in different use cases with different requirements. We provide a proof of concept implementation of the operator using a data Stream Management System and evaluate the effect of increasing outlier rates in data sets on the overall performance of the outlier detection. © 2023 IEEE.

关键词： Anomaly detection

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On the Issue of Individualization of Educational Trajectories in the Management of Knowledge Control (Based on Big data) 26

On the Issue of Individualization of Educational Trajectorie...

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26th international conference on Soft computing and Measurements, SCM 2023

作者： Loyko, Natalia A. Petrochenkov, Anton B. Leisle, Aleksandr G. Perm National Research Polytechnic University Higher Mathematics Department Perm Russia Perm National Research Polytechnic University Microprocessor Automation Units Department Perm Russia

ISBN: (纸本)9798350322484

The fundamental difference in the nature of the digital and material spheres determines the difference in the quantitative value of the criterion that makes it possible to attribute (or not to attribute) information sets characteristic of each of them to the Big data category. In social systems, the role of a person in the construction of algorithms for preventive and corrective actions is a key one. Computational algorithms in the material sphere integrate, present in a more visual form arrays of information, reducing their dimension and making it possible to further process the formation of certain management decisions. These results acquire the greatest importance in the course of solving the problems of personalization of educational work and the development of individual educational trajectories. © 2023 IEEE.

关键词： Trajectories

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Design and Implementation of Electronic Pulse Gauge System Based on Wireless Sensor

Design and Implementation of Electronic Pulse Gauge System B...

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2023 international conference on Networking, Informatics and computing, ICNETIC 2023

作者： Huang, Haixia Guilin Institute of Information Technology Guilin541004 China

ISBN: (纸本)9798350313314

Nowadays, the epidemic prevention and control in society is becoming normal, and people urgently want a set of portable home diagnosis device to realize home self-inspection. Pulse diagnosis plays a key role in clinical diagnosis, which can make the diagnosis of patients' diseases more accurate, and it is also the confirmation of other diagnoses. With the continuous development of related disciplines, the sensor network also has the comprehensive processing capability of acquiring various information signals, and through the connection with the sensor controller, a sensor network with information synthesis and processing capability is formed. In this paper, a data acquisition system of electronic pulse detector based on wireless sensor network (WSN) is proposed, which can get the pulse condition that is more in line with the detected standard, so as to judge the health conditions of the detected person's internal organs, gas and blood, and give the corresponding TCM prescription or nutrition adjustment suggestions in time, so as to achieve the effect of disease prevention. Using WSN-based data acquisition system can not only solve the problems existing in artificial wired mode, but also provide theoretical support for health monitoring under the background of epidemic prevention and control. © 2023 IEEE.

关键词： data acquisition

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2nd IEEE international conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

2nd IEEE International Conference on Distributed Computing a...

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2nd IEEE international conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

ISBN: (纸本)9798350347456

The proceedings contain 295 papers. The topics discussed include: deep learning & computer vision integrated smart voting system;performance analysis of machine learning algorithms with hyperparameter tuning for diabetes prediction;transient analysis of motor terminal voltage, common mode voltage and bearing voltage in 2-level and multilevel PWM inverter fed induction motor with long cable;comparative analysis of phase/frequency detector in a complete PLL system;a research on various security aware mechanisms in multi-cloud environment for improving data security;network traffic virtualization using Wireshark and Google maps;cluster enabled routing algorithm for wireless sensor networks: an optimization and future prospective;detection and recognition of animals using Yolo algorithm;voltage improvement and loss reduction by placement and sizing of DG using grid oriented multi objective particle swarm optimization;prediction of heart disease using naive bayes and particle swarm optimization (PSO) method;lane detection using video processing for robot cars;convolutional neural network for printed circuit board verification;and multiple disease prediction based on user symptoms using machine learning algorithms.

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