检索结果-内蒙古大学图书馆

3rd international conference on computing and Machine Intelligence (ICMI)

作者： Kumar, Mithun P. K. Hossain, Al Amin Al Majmaie, Sufian Amsaad, Fathi Wright State Univ Dept Comp Sci & Engn Dayton OH 45435 USA

ISBN: (纸本)9798350372977;9798350372984

The wireless sensor network is a hot and significant research area nowadays and it can be addressed in almost every sector and environment. A few major challenges are countered in the wireless sensor network such as energy consumption, battery lifetime, Attacks, Data Transmission, etc. Generally wireless sensor network produces non-Euclidian sensing data and metadata structures and it is very complex to deal with the structure, especially in order to measure anomalies and disruption in a network. In this paper, we have introduced parallel computing to resolve the heterogeneity of the sensing data and metadata as well. Parallel computing has been applied implicitly for extracting only paramount data from the large scale of data to detect routing layer attacks. The convolution neural network (CNN) has been considered as a machine-learning model and we have enhanced the kernel to optimize the performance of the conventional CNN model to detect network layer attacks in terms of wireless sensor networks. Our investigated method demonstrates better results in detecting anomalies and attacks than the existing methods or techniques.

关键词： Wireless sensor Networks Network Layer Attack Machine Learning Parallel computing

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach for Specification and Verification of Symmetric distributed Algorithms Using SPIN 3

A Novel Approach for Specification and Verification of Symme...

引用

3rd international conference on distributed computing and High Performance computing, DCHPC 2024

作者： Namvaritazehkand, Leila Ebnenasir, Ali University of Tabriz Faculty of Electrical and Computer Engineering Department of Computer Engineering East Azerbaijan Tabriz Iran Michigan Technological University Department of Computer Science HoughtonMI49931 United States

ISBN: (纸本)9798350381580

This paper focuses on the challenges of modeling and verifying symmetric distributed algorithms with point-to-point and bidirectional communications using the SPIN model checker. In this paper, we first state the problems of implementing the model of such algorithms in the Promela language. Then, we present a solution for each of these problems, where these solutions present a hybrid data structure that facilitates the definition of any set of variables or channels as a matrix. Also, we model and verify one of the valuable and practical algorithms called the causal broadcast (CB) algorithm as a case study using the proposed method. In addition, we specify the main properties of the CB algorithm, namely validity, integrity, causal delivery, and termination, in Linear Temporal Logic (LTL) and then verify them using the SPIN model checker. © 2024 ieee.

关键词： Model checking

来源：评论

学校读者我要写书评

暂无评论

Advancements in Federated Learning for Health Applications: A Concise Survey 20

Advancements in Federated Learning for Health Applications: ...

引用

20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (DCOSS-IoT)

作者： Stamatis, Vasileios Radoglou-Grammatikis, Panagiotis Sarigiannidis, Antonios Pitropakis, Nikolaos Lagkas, Thomas Argyriou, Vasileios Markakis, Evangelos Sarigiannidis, Panagiotis K3Y Ltd William Gladstone 31 Sofia 1000 Bulgaria Edinburgh Napier Univ Sch Comp Engn & Build Environm Edinburgh EH10 5DT Midlothian Scotland Int Hellen Univ Dept Comp Sci Kavala Campus Kavala 65404 Greece Kingston Univ London Dept Networks & Digital Media Penrhyn Rd Kingston Upon Thames KT1 2EE Surrey England Hellen Mediterranean Univ Dept Elect & Comp Engn Iraklion 71004 Greece Univ Western Macedonia Dept Elect & Comp Engn Campus ZEP Kozani Kozani 50100 Greece

ISBN: (纸本)9798350369458;9798350369441

Smart solutions in the healthcare domain have garnered considerable attention due to their potential to enhance standard treatment methods and improve overall health. However, privacy concerns often prevent the sharing of healthcare data, which can limit the scope for improvement. In this context, Federated Learning (FL) has emerged as a transformative paradigm in machine learning. It enables collaborative model training across decentralised devices while preserving data privacy and security. This approach has gained significant traction in recent years, particularly within the healthcare sector. It offers unprecedented opportunities to harness collective intelligence from diverse healthcare datasets without compromising sensitive patient information. This survey paper summarises numerous research works that focus on the application of FL to address various healthcare challenges. Moreover, a comparison of these works is conducted, summarising the different technologies employed in each case. Therefore, in light of the previous remarks, this paper provides an up-to-date overview of the state of the art in the application of FL in the healthcare industry.

关键词： Artificial Intelligence Deep Learning Federated Learning Machine Learning Healthcare

来源：评论

学校读者我要写书评

暂无评论

Optimized Bidirectional Long Short-Term Memory Model for distributed Denial of Service Attack Detection in Wireless sensor Networks 3

Optimized Bidirectional Long Short-Term Memory Model for Dis...

引用

3rd international conference on Smart Technologies and systems for Next Generation computing, ICSTSN 2024

作者： Poongodi, K. Mithuna, S. Rajkumar, S. K. S. Rangasamy College of Technology Computer Science and Engineering Tiruchengode637 215 India

ISBN: (纸本)9798350391565

The rapid expansion of Wireless sensor Networks (WSNs) has made them a critical component in various applications, from environmental monitoring to military surveillance. However, their inherent vulnerabilities make them prime targets for distributed Denial of Service (DDoS) attacks, that have the potential to significantly impair data integrity and network performance. This paper presents an advanced approach for DDoS detection in WSNs using an optimized Bidirectional Long Short-Term Memory (Bi-LSTM) network. The proposed method leverages the strengths of Bi-LSTM in capturing temporal dependencies and patterns within network traffic data, providing a robust mechanism for identifying anomalous activities indicative of DDoS attacks. To enhance the detection accuracy and efficiency, introduce a novel optimization technique that fine-tunes the BiLSTM parameters, balancing the trade-offs between detection performance and computational overhead. Extensive simulations demonstrate that our optimized Bi-LSTM model significantly outperforms traditional machine learning approaches and standard LSTM configurations. The results underline the potential of this approach in fortifying WSNs against sophisticated DDoS threats, ensuring reliable and secure network operations. © 2024 ieee.

关键词： Denial-of-service attack

来源：评论

学校读者我要写书评

暂无评论

Power Factor Improvement in ieee-33 Radial Distribution systems using Fruit Fly Algorithm Compared with Bat Algorithm by Optimizing the DG Size 3

Power Factor Improvement in IEEE-33 Radial Distribution Syst...

引用

3rd international conference on Automation, computing and Renewable systems, ICACRS 2024

作者： Pujar, Pavan Lavanya, M. Department of Electrical and Electronics Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai602105 India

ISBN: (纸本)9798331532420

Power factor improvement in Radial Distribution systems (rdS) is done by placing distributed Generation (DG) in the best possible location, this study compares two optimization algorithms: the innovative Fruit Fly Algorithm (FFA) and the Bat Algorithm (BA). Materials and Methods: To ascertain the ideal location and size of distributed generators (DGs) inside radial distribution power networks, the Fruit Fly Algorithm and Bat Algorithm are utilized. With a power level of 0.8, the sample size of 14 samples was determined using G*Power for two groups. Results: Based on the data, FFA performs better than BA at raising the Power Factor. The computed significance value of 0.941 (p>0.05) suggests that the difference is not statistically significant. Conclusion: The FFA-based optimization strategy outperforms the BA-based method (0.9089) in terms of Power Factor improvement (0.9132). © 2024 ieee.

关键词： DC distribution systems

来源：评论

学校读者我要写书评

暂无评论

A Lightweight Three Dimensional Redeployment Algorithm for distributed Mobile Wireless sensor Networks

引用

WIRELESS PERSONAL COMMUNICATIONS 2024年第2期135卷 835-873页

作者： Boufares, Nadia Ben Saied, Yosra Azouz Saidane, Leila Univ Manouba Natl Sch Comp Sci Manouba Tunisia Univ Carthage Tunis Tunisia

In recent years, there has been significant growth in mobile wireless sensor networks (WSNs), yet prevailing research has primarily focused on 2D planar deployments, overlooking the importance of three-dimensional (3D) coverage in various applications. This oversight leads to ineffective data gathering due to incomplete area coverage and network connectivity. In previous researches (Boufares et al. in: 2018 31 ieee/ACS 15th international conference on computer systems and applications (AICCSA), Aqaba, Jordan, pp 1-8, 2018, in: 13th international wireless communications and mobile computing conference (IWCMC), Valencia, pp 1628-1633, 2017, in: ieee wireless communications and mobile computing conference (IWCMC), Dubrovnik, Croatia, pp 563-568, 2015a, in: the 4th international conference on performance evaluation and modeling in wired and wireless networks (PEMWN), Hammamet, Tunisia, pp 103-108, 2015b), we proposed 3D mobile autonomous redeployment strategies based on the Virtual Forces Algorithm, tailored for diverse configurations: 3D volume applications such as smart homes or agriculture, 3D flat surfaces like snow monitoring, and 3D terrain surfaces like volcano monitoring. Our approach ensured complete coverage and connectivity in these scenarios. Moreover, energy efficiency emerges as a critical concern, given the autonomous and mobile nature of sensor nodes operating on finite battery power. Hence, in this paper, we provide an overview of our previous results, highlighting the efficacy of our 3D mobile autonomous redeployment strategies across various configurations. Subsequently, we delve into an in-depth analysis of the energy consumption associated with the different proposed contributions. Building upon these insights, we propose an energy harvesting approach aimed at extending the operational lifespan of mobile 3D WSNs, thus ensuring sustained functionality in diverse real-world *** these contributions, we address critical challenges and p

关键词： 3D distributed autonomous mobile wireless sensor networks Coverage and connectivity Virtual forces Energy consumption Energy harvesting RF power splitting

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis for distributed systems Based on RF-LGBM 3

Fault Diagnosis for Distributed Systems Based on RF-LGBM

引用

3rd international conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)

作者： Qiu, Juncheng Zhou, Ziqi Wang, Haoze Cai, Changchun Hohai Univ Coll Artificial Intelligence & Automat Changzhou Jiangsu Peoples R China

ISBN: (纸本)9798350352634;9798350352627

distributed systems are critical infrastructures for many enterprises and organizations, yet they also present challenges in fault diagnosis. To improve the efficiency and accuracy of fault diagnosis in distributed systems, this paper proposes a fault diagnosis model based on the RF-LGBM algorithm. The model first utilizes LGBM for initial diagnosis and then employs RF to reclassify the two fault types with lower accuracy. The results indicate that the RF-LGBM model achieves an AUC greater than 0.96, effectively diagnosing faults in distributed systems.

关键词： distributed systems RF-LGBM fault diagnosis Bayesian optimization Gini

来源：评论

学校读者我要写书评

暂无评论

Enhancing Internet-based Resource Discovery: The Efficacy of distributed Quadtree Overlay 3

Enhancing Internet-based Resource Discovery: The Efficacy of...

引用

3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Alqaraleh, Muhyeeddin Zarqa University Faculty of Information Technology Department of Software Engineering Zarqa13110 Jordan

ISBN: (纸本)9798350375190

distributed systems based on the Internet allow resources widely dispersed throughout the network to be utilized cooperatively and shared. This allows the end-user to obtain massive computational power to perform a computationally intensive task. This is where the essential function of resource finding comes into play. Even though different procedures have been presented to identify multi-attribute resources, these processes have been plagued by many problems, including significant overhead and inefficiency as the number of resources increases. distributed Quadtree Overlay is the innovative technology presented in this academic study. With DOTO, distance-aware querying is used. Moreover, since DOTO is constructed via the local network, it does not need any communication. As a result of the trials, the distributed Quadtree Overlay performed better than the Chord. According to the findings, distributed Quadtree Overlay is superior to Chord in terms of communication time since it needs fewer hopes and messages, uses less memory, and produces better (shortened) communication times. © 2024 ieee.

关键词： distributed computer systems

来源：评论

学校读者我要写书评

暂无评论

Parted Security Method for Secure Data Exchange in Heterogeneous Applications Using Wireless sensor Networks 3

Parted Security Method for Secure Data Exchange in Heterogen...

引用

3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Chandrika, G. Naga Ramesh, S. Balasamy, K. Anandaraj, A. Glory, E. Suganthi, R. Vnr Vignana Jyothi Institute Of Engineering & Technology Department Of It Hyderabad India Srm Institute Of Science And Technology Department Of Computing Technologies Kattankulathur India Bannari Amman Institute Of Technology Department Of Ai&ds Erode India Sri Eshwar College Of Engineering Department Of Cse Coimbatore India Saveetha School Of Engineering Simats Department Of Biosciences Chennai India Panimalar Engineering College Department Of Ece Chennai India

ISBN: (纸本)9798350318609

In tackling the changing security issues in Wireless sensor Network (WSN) applications, the Parted Secure Data Exchange Method (PSDEM) is a noteworthy development. In order to acknowledge the intrinsic heterogeneity of users and applications in WSNs, segment-based trust is crucial. PSDEM offers a sophisticated and adaptable approach to security by acknowledging that various areas of the network may require varying degrees of protection and customising security measures to those segments. PSDEM's primary novelty is its approach to reducing the erroneous rate of intrusions during data exchange periods. PSDEM presents a revolutionary paradigm where the vulnerability of one segment does not undermine the overall security of the entire data transmission. The proposed method is reliable in reducing the service latency, false rate, and service loss by 9.63%, 11.37%, and 10.68% for the maximum network regions used for data exchange. © 2024 ieee.

关键词： Electronic data interchange

来源：评论

学校读者我要写书评

暂无评论

Flexible Topological Control for Underwater Optical Wireless sensor Networks 43

Flexible Topological Control for Underwater Optical Wireless...

引用

43rd ieee international conference on distributed computing systems (ICDCS)

作者： Chi, Yang Lin, Chi Tian, Yu Wang, Lei Dalian Univ Technol Sch Software Technol Dalian 116024 Peoples R China Key Lab Ubiquitous Network & Serv Software Liaoni Dalian 116621 Peoples R China

ISBN: (纸本)9798350339864

Underwater Optical Wireless sensor Network (UOWSN) is a promising technology as it can achieve high-speed communication in underwater environment. However, affected by the uncertainty of complex underwater environment, the network topology of UOWSN is highly dynamic, making it difficult to quantify flexibility or further optimize the topological structure. In this paper, we propose a flexibility-based network topology evaluation model (FEM) for UOWSNs. Then, a reinforcement learning model, termed FEM-DRL, for optimizing the network topology based on FEM is developed, which enables UOWSN to maintain an optimal topology when working in harsh underwater environments. Simulation results demonstrate that the proposed method can significantly improve the network flexibility and reduces the time cost for constructing network topology by 41.8% compared with baseline algorithms. Test-bed experiments verify the applicability and effectiveness in practical applications for detecting emergent events.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：