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共 140 条记录，以下是91-100 订阅

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Blockchain Technology for Secure Shared Medical Data 23

Blockchain Technology for Secure Shared Medical Data

引用

23rd international Arab conference on Information Technology, ACIT 2022

作者： Mancer, Mhamed Akram, Khelili Mohamed Barka, Ezedin Okba, Kazar Sihem, Slatnia Harous, Saad Athamena, Belkacem Houhamdi, Zina Smart Computer Science Laboratory Department of Computer Science Biskra Algeria University of Mohamed Khider Biskra Algeria Numidia Institute of Technology Algeria Algeria Algeria UAE University Department of Information Systems and Security Al Ain United Arab Emirates Department of Information Systems and Security College of Information Technology United Arab Emirate University United Arab Emirates Department of Computer Science College of Computing and Informat Ics AL Ain United Arab Emirates University of Sharjah AL Ain United Arab Emirates College of Business Al Ain University Al Ain United Arab Emirates University of Al Ain Al Ain United Arab Emirates

ISBN: (纸本)9798350320244

A blockchain is a shared database allowing trust to be created between individuals without using intermediaries. The architecture here is decentralized, the data is distributed among the users, and therefore the information can never be erased. Today, many fields are interested in the development of products and technical solutions based on Blockchain technology. In this paper, we investigate blockchain in developing a Secure Shared Medical Record system (SSMR) for health data management. The proposed system aims to collect, store and share electronic medical records securely. It also makes it possible to provide doctors, for example, with medical information from other healthcare professionals, by defining a medical profile for each patient. © 2022 IEEE.

关键词： Blockchain

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Detection and prevention of distributed denial of services attacks on wide area networks by collaborative effort of software agents

Detection and prevention of distributed denial of services a...

引用

IASTED international conference on Parallel and distributed computing and Networks, as part of the 23rd IASTED international Multi-conference on Applied Informatics

作者： Shafiq, M. Omair Ali, Arshad Ahmad, Ejaz Ahmad, H. Farooq Suguri, Hiroki NUST Institute of Information Technology Chaklala Scheme III Rawalpindi Pakistan 2-15-28 Omachi Aoba-ku Sendai 980-0804 Japan

distributed Denial of Services DDoS, attacks has become one of the biggest threats for resources over Internet. Purpose of these attacks is to make servers deny from providing services to legitimate users. These attacks are also used for occupying media bandwidth. Currently intrusion detection systems can just detect the attacks but cannot prevent / track the location of intruders. Some schemes also prevent the attacks by simply discarding attack packets, which saves victim from attack, but still network bandwidth is wasted. In our opinion, DDoS requires a distributed solution to save wastage of resources. The paper, presents a system that helps us not only in detecting such attacks but also helps in tracing and blocking (to save the bandwidth as well) the multiple intruders using Intelligent Software Agents. The system gives dynamic response and can be integrated with the existing network defense systems without disturbing existing Internet model. We have implemented an agent based networking monitoring system in this regard.

关键词： distributed computer systems

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Enhancing the Performance of an Autonomous distributed Storage System in a Large-Scale Network

Enhancing the Performance of an Autonomous Distributed Stora...

引用

Summer Virtual conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing (SNPD-Summer), ACIS international

作者： Atsushi Nunome Hiroaki Hirata Faculty of Information and Human Sciences Kyoto Institute of Technology Kyoto Japan

ISBN: (纸本)9798350396386

We are developing an autonomous distributed storage system that autonomously relocates data blocks according to their utilization and the effective performance of storage. This paper proposes an enhancement to the distributed storage system to address large network environments where many network nodes are connected to multiple network switches. In the proposed method, the latency time when a network frame travels on the network is evaluated together with the effective performance of the storage, and this is used to determine the destination of the data block. Simulation evaluation results show that in the networks with cascading multiple network switches and high I/O load on storage, the performance improvement is significantly greater than that of the previous method. This showed that our storage system can provide sufficient performance improvement even in large network environments.

关键词： distributed databases Artificial intelligence Software engineering Load modeling

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Formalization and Verification of SIP Using CSP 23rd

Formalization and Verification of SIP Using CSP

引用

23rd international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2022

作者： Hou, Zhiru Yin, Jiaqi Zhu, Huibiao Chen, Ningning Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China School of Software Northwestern Polytechnical University Xi’an China

ISBN: (纸本)9783031299261

As one of the most popular multimedia communication protocol, Session Initiation Protocol (SIP) has lots of interesting features, such as extensible and open communication. However, with its rapid development, load balance problem and security risks are exposed. Finding the suitable method to solve the two problems has become an important issue. In this paper, we first apply Communicating Sequential Processes (CSP) to model SIP, then adopt the model checking tool Process Analysis Tookit (PAT) to verify the internal properties and the safety properties of our model. The verification results show that the SIP model has load balance problem and it cannot assure the security of data with malicious users. So we enhance it by adding Software Defined networking (SDN) architecture and identity authentication mechanism in the process. In the light of new verification results, it can be found that the improved model can satisfy the internal properties and we succeed in improving the security of the SIP model. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Model checking

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Parallel and distributed computing, Applications and Technologies 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Hiroyuki Takizawa Hong Shen Toshihiro Hanawa Jong Hyuk Park Hui Tian Ryusuke Egawa

This book constitutes the proceedings of the 23rd international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2022, which took place in Sendai, Japan, during December 7-9, 2022.

ISBN: (数字)9783031299278

ISBN: (纸本)9783031299261

关键词： Theory of Computation Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Control Structures and Microprogramming Artificial Intelligence

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A Real-Time Based System for Personalized Processing Using Fog computing: A Complete Architecture 23th

A Real-Time Based System for Personalized Processing Using F...

引用

23rd international conference on Intelligent Systems Design and Applications, ISDA 2023

作者： Abdaoui, Noura Khalifa, Ismahene Hadj Faiz, Sami University of Manouba Manouba Tunisia University of Manouba Manouba Tunisia

ISBN: (纸本)9783031648465

The convergence of data and Internet of Things (IoT) has created immense opportunities for personalized recommendation and real-time data insights. However, processing personalized recommendation in real-time from IoT devices presents significant challenges, including high data volume, heterogeneity and latency issues. To address these challenges, Fog computing model has emerged as a powerful solution. Fog computing extends the capabilities of cloud computing by bringing computation, storage, and networking resources closer to the data source and end-users. This paper explores the potential of Fog computing model in handling personalized recommendation by analyzing heterogeneous data from IoT devices. We discuss the key concepts and advantages of Fog computing, highlighting its suitability for real-time data processing. With its distributed architecture and proximity to IoT devices, Fog computing model optimizes resource utilization and provides low-latency, real-time insights. By leveraging Fog computing's model, we could analyze and personalize the heterogeneous data of recommender system in real-time propelling the era of IoT towards a more efficient and responsive future. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Internet of things

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Reconfiguration Cost for Reconfigurable computing Architectures

Reconfiguration Cost for Reconfigurable Computing Architectu...

引用

Summer Virtual conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing (SNPD-Summer), ACIS international

作者： Shigeyuki Takano Hideharu Amano Dept. of Informatics and Computer Science Keio University Kanagawa Japan

ISBN: (纸本)9798350396386

Reconfigurable computing systems show the advantage of high flexibility and high-performance or low-power relative to traditional computing systems. Reconfiguration can change user logic statically or dynamically. The reconfiguration is a key feature in the reconfigurable computing system, however, the reconfiguration techniques are not considered enough. One of the reconfiguration techniques must be chosen for usage target characteristics of reconfiguration. This article shows the cost of typical reconfiguration techniques which can be applied to not only field-programmable gate arrays (FPGAs) but also coarse-grained reconfigurable arrays (CGRAs). We call these microarchitectures, field-programmable logic (FPL). We focus on three device classes; traditional configurable FPL (ex. FPGA), a partially reconfigurable FPL and a multi-context FPL. We investigate how the size and frequency of reconfiguration can be taken care of and how much speed-up is theoretically expected from a perspective of reconfiguration cost. In addition, the investigation introduces temporal and spatial configuration cache techniques.

关键词： Costs Microarchitecture Reconfigurable architectures Artificial intelligence Field programmable gate arrays Software engineering

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Combining Artificial Intelligence and Edge computing to Reshape Distance Education (Case Study: K-12 Learners) 23rd

Combining Artificial Intelligence and Edge Computing to Resh...

引用

23rd international conference on Artificial Intelligence in Education (AIED)

作者： Labba, Chahrazed Ben Atitallah, Rabie Boyer, Anne Univ Lorraine LORIA CNRS Campus Sci F-54506 Vandoeuvre Les Nancy France GalataSaray Univ GSU Istanbul Turkey

ISBN: (纸本)9783031116445;9783031116438

Nowadays, the use of distance learning is increasing, especially with the recent Covid-19 pandemic. To improve e-learning and maximise its effectiveness, artificial intelligence (AI) is used to analyse learning data stored in central repositories (e.g. in cloud). However, this approach provides time-lagged feedback and can lead to a violation of user privacy. To overcome these challenges, a new distributed computing paradigm is emerging, known as Edge computing (EC), which brings computing and data storage closer to where they are required. Combined with AI capabilities, it can reshape the online education by providing real-time assessments of learners to improve their performance while preserving their privacy. Such approach is leading to the convergence of EC and AI and promoting AI at the Edge. However, the main challenge is to maintain the quality of data analysis on devices with limited memory capacity, while preserving user data locally. In this paper, we propose an Edge-AI based approach for distance education that provides a generic operating architecture for an AI unit at the edge and a federated machine learning model to predict at real-time student failure. A real-world scenario of K-12 learners adopting 100% online education is presented to support the proposed approach.

关键词： Real-time feedback Privacy Federated learning

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Data Structures for Routing Table of the distributed Key-Value Store Based on Order Preserving Linear Hashing and Skip Graph with the Load Balancing Method

Data Structures for Routing Table of the Distributed Key-Val...

引用

Summer Virtual conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing (SNPD-Summer), ACIS international

作者： Ken Higuchi Ami Miyazaki Kenya Hasegawa Tatsuo Tsuji Center for Data Science and Artificial Intelligence University of Fukui Fkui Japan School of Engineering University of Fukui Fkui Japan

ISBN: (纸本)9798350396386

In this paper, data structures for reducing redundancy of routing information on the distributed key-value store based on order preserving linear hashing and Skip Graph with the load balancing method are proposed and evaluated. In this system, data are divided by order preserving linear hashing and Skip Graph is used for overlay network. For load balancing, by storing many Skip Graph nodes in one physical node, any highest-load Skip Graph can be divided. By this method, load balancing can be done. But the number of Skip Graph nodes becomes very many and redundant routing information exists. But this redundant routing information has regularity. In this paper, two types of data structure for reducing redundant routing elements are proposed. They are tree structure and array structure. By calculating space for them and searching time, the proposed data structures are experimentally evaluated.

关键词： Overlay networks Redundancy Routing Load management Arrays Artificial intelligence Software engineering

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distributed Parallel Tall-Skinny QR Factorization: Performance Evaluation of Various Algorithms on Various Systems 23rd

Distributed Parallel Tall-Skinny QR Factorization: Performan...

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23rd international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2022

作者： Fukaya, Takeshi Information Initiative Center Hokkaido University Sapporo Japan JST Presto Tokyo Japan

ISBN: (纸本)9783031299261

In this paper, we focus on the distributed parallel computation of tall-skinny QR factorization. Among various numerical algorithms, we evaluate the performance of four typical algorithms that have different characteristics on four different supercomputer systems. Together with a brief summary of each algorithm, this paper presents the current situation of the distributed parallel tall-skinny QR factorization, which will help applications to select an appropriate numerical algorithm for tall-skinny QR factorization. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Supercomputers

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