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共 299 条记录，以下是51-60 订阅

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Up-Link/Down-Link Availability Calculation in Cloud Using Ford Fulkerson Algorithm 5th

Up-Link/Down-Link Availability Calculation in Cloud Using Fo...

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5th international conference on Computational Intelligence, Cyber Security and Computational Models, ICC3 2021

作者： Devi, R. Gopalakrishnan, V. Government College of Technology Tamil Nadu Coimbatore641013 India

ISBN: (纸本)9783031155550

In recent days Cloud plays a vital role in Information technology. Many customers and organization are moving towards the cloud computing environment for effective utilization of the resources. Availability of internet is the main need for accessing the cloud. Once the customer registered for a cloud service, they can access the service from anywhere and at any time using the internet. Normally, shortest distance between the user interface and the information server in the internet is identified using RIP (Routing Information Protocol) or OSPF (Open Shortest Path First Protocol). Ford Fulkerson algorithm is applied to shortest path graph to identify the uplink/downlink bandwidth. Hence this algorithm helps to identify the current availability percentage of cloud services. this algorithm is efficient when compared to the existing measurement methodologies like Trouble Ticketing, Device reach-ability and SNMP (Simple Network Maintenance Protocol). © 2022, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： distributed database systems

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distributed Data Sharing and Access Control in Industrial IoT Using Blockchain technology

Distributed Data Sharing and Access Control in Industrial Io...

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Computer Engineering and Intelligent Control (ICCEIC) international conference on

作者： Rui Li Yan Sun Caiyun Liu Ying Wen Yitong Liu Fujian Provincial Industrial and Information Industry Development Research Center Fuzhou Fujian China China Industrial Control Systems Cyber Emergency Reponse Team Beijing China

ISBN: (数字)9798331507992

ISBN: (纸本)9798331508005

With the rapid development of the Industrial internet of things (IIoT), secure and efficient data sharing has become crucial for enabling industrial automation and smart transformation. However, existing centralized solutions face limitations in scalability, latency, and data privacy. To address these challenges, this paper proposes a blockchain-based distributed data-sharing and access control system tailored for resource-constrained industrial edge networks. the system adopts a three-layer architecture that integrates edge computing and blockchain technology to provide decentralized, low-latency data management. A novel smart contract framework is introduced to enforce multi-level access control and support fine-grained permissions for intra-domain and cross-domain data sharing. Experimental results show the system's improved performance in data access efficiency and throughput, offering a robust solution for real-time, secure IIoT applications.

关键词： Access control Data privacy Scalability Smart contracts throughput Real-time systems Low latency communication Industrial internet of things Edge computing Intelligent control

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Exploring Robust DDoS Detection: A Machine Learning Analysis with the CICDDoS2019 Dataset

Exploring Robust DDoS Detection: A Machine Learning Analysis...

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India Council international Subsections conference (INDISCON), IEEE

作者： Kamal Saluja Susama Bagchi Vikas Solanki Muhammad Numan Ali Khan Esha Dhamija Sanjoy Kumar Debnath Chitkara University Institite of Engineering and Technology Chitkara University Punjab India College of Computing and Information Sciences University of Technology and Applied sciences Shinas Sultanate of Oman

ISBN: (数字)9798350376753

ISBN: (纸本)9798350376760

the ever-present threat posed by distributed Denial of Service attack is highlighted. the significance of building robust cybersecurity measures that are not just inventive but also flexible. the purpose of this study paper is to investigate the effectiveness of an algorithm based on machine learning in detecting distributed denial of service assault to strengthen the resilience of internet infrastructure. Random forest, decision tree, naïve bayes, and KNN are some of the machine learning techniques that are investigated in this study. the dataset used for this investigation is the CICDDoS 2019 data, Moreover, the research broadened its approach to identify the role of Artificial Intelligence in the Cybersecurity Framework. It does this by providing insight into the relative merits of various algorithms. the study, in its essence, highlights the critical role that adaptive and intelligent defense systems play in decreasing the impact of distributed denial of service assaults (DDoS). this provides a foundation for prepared strategies in the constantly shifting world of cybersecurity.

关键词： Measurement Machine learning algorithms Accuracy Machine learning Nearest neighbor methods internet Computer crime Random forests Classification tree analysis Resilience

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three-Dimensional Data Security Architecture of Agricultural Supply Chain Driven by Blockchain 5

Three-Dimensional Data Security Architecture of Agricultural...

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5th international conference on High Performance Big Data and Intelligent Systems, HDIS 2023

作者： Chen, Xiao Zhang, Guofeng Zhao, Chuan Wang, Bingbing Feng, Bin Wang, Peng Li, Qiuling Li, Songhe Shen, Cong School of Economics and Management Taishan University Taian China School of Information Science and Technology Taishan University Taian China School of Information Science and Engineering Shandong Provincial Key Laboratory of Network-based Intelligent Computing University of Jinan Jinan China School of Information Science and Engineering University of Jinan Jinan China College of Physics and Electronic Engineering Taishan University Taian China

ISBN: (纸本)9798350394160

Agricultural supply chain systems mainly focus on technological applications, but do not pay enough attention to the privacy protection and data security guarantee of the entire supply chain entities. they face practical challenges such as low enthusiasm, poor data quality, and low credibility. this work starts from three dimensions of supply chain entities, blockchain technology, and government/regulatory agencies, fully integrating blockchain and the internet of things, blockchain and big data, blockchain and artificial intelligence, and designing a three-dimensional data security architecture for agricultural supply chain. Research suggests that utilizing the data security guarantees provided by three dimensions, the distributed storage, tamper resistance, transparency, traceability and other technical features of blockchain, as well as the automatic perception, real-time aggregation, intelligent processing and other functions of the technology integration platform, can effectively eliminate commercial and security concerns of supply chain entities. It has important reference significance and value for promoting supply chain data security sharing and regulating regulation. More importantly, this work emphasizes the comprehensive guarantee of supply chain security, effectively reversing the direction of integrated application of blockchain and agricultural supply chain, and has important implications for guiding the construction of agricultural supply chain systems. ©2023 IEEE.

关键词： Blockchain

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5th international Symposium on Mobile internet Security, MobiSec 2021

5th International Symposium on Mobile Internet Security, Mob...

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5th international Symposium on Mobile internet Security, MobiSec 2021

ISBN: (纸本)9789811695759

the proceedings contain 28 papers. the special focus in this conference is on Mobile internet Security. the topics include: Smart Contract-Based Personal Data Protection Framework: In Cross-App Advertising;a Blockchain-Based Authentication Scheme for 5G Applications;Effectiveness of Video-Classification in Android Malware Detection through API-Streams and CNN-LSTM Autoencoders;trojan Attacks and Defense for Speech Recognition;ensuring the Big Data Integrity through Verifiable Zero-Knowledge Operations;forensic Analysis of Fitness Applications on Android;fingerprint Defender: Defense Against Browser-Based User Tracking;detection of Business Email Compromise Attacks with Writing Style Analysis;a Systematic Literature Review on the Mobile Malware Detection Methods;distributed Trust and Reputation Services in Pervasive internet-of-things Deployments;forensic Analysis of Apple CarPlay: A Case Study;classification and Analysis of Vulnerabilities in Mobile Device Infrastructure Interfaces;Which One is More Robust to Low-Rate DDoS Attacks? the Multipath TCP or the SCTP;a Blockchain-Based User Identity Authentication Method for 5G;Cyber-Attack Behavior Knowledge Graph Based on CAPEC and CWE Towards 6G;A DDoS Detection Method with Feature Set Dimension Reduction;development of Total Security Platform to Protect Autonomous Car and Intelligent Traffic System Under 5G Environment;an Anonymous Communication System Based on Software Defined Architecture;security Association Model: Interdisciplinary Application of 5G Positioning technology and Social Network;Comparative Analysis of Bluetooth LE and EDHOC for Potential Security Protocol in Artificial Pancreas System;a Credible Information Fusion Method Based on Cascaded Topology Interactive Traceability;semantic Embedding-Based Entity Alignment for Cybersecurity Knowledge Graphs;a Secure Dispersed computing Scheme for internet of Mobile things;a Necessary Condition for Industrial internet of things Sustainability;future Applications

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Extended johnson's sequencing for load balancing in edge computing 5

Extended johnson's sequencing for load balancing in edge com...

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5th international conference on Intelligent computing and Control Systems, ICICCS 2021

作者： Herbert Raj, P.

ISBN: (纸本)9781665412728

Mobile / Multi-Access Edge computing (MEC) arose as an important technology in order to facilitate lowlatency data processing at the edge of mobile networks. this empowers MEC to reduce congestion in the network, increases quicker response and to get optimum utilization of resources in a distributed environment. Mobile user requests can be administered and processed in a neighboring proximity with the intention to facilitate context sensitivity and to reduce latency. Conventional edge networks operate the packet forwarding, redirecting and filtering. At this point of time, if a mobile or portable user sends a request, it will be processed in a remote server located at far-off from the users. Lot many emerging technologies and RAN (Radio Access Network) perform their computation-offloading at the edge networks. A user could offload his job to a neighboring server in edge computing model in order to provision lot many online and real-time facilities. Datacenters in MEC model has numerous applications running in the server. this traffic is managed through load balancers to make sure that load is distributed evenly to all the servers. Hence, load balancing is an indispensable aspect to balance the network traffic to any readily available resources. An efficient routing algorithm decides the true end-to-end routing between a source and estimation network. the proposed extended Johnson's three machine algorithm performs considerably higher than any other Flow shop sequencing. © 2021 IEEE.

关键词： internet of things

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Research on internet of things Signals Acquisition and Processing based on Edge Computation

Research on Internet of Things Signals Acquisition and Proce...

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Computer Engineering and Intelligent Control (ICCEIC) international conference on

作者： Xiaolong Zhang Wenheng Qiu Huaping Yang Aohua Hou College of Electrical Engineering and New Energy China Three Gorges University Hubei Yichang China Faculty of Automotive and Traffic Engineering Hubei University of Arts and Sciences Hubei Xiangyang China

ISBN: (数字)9798331507992

ISBN: (纸本)9798331508005

the proliferation of internet of things (IoT) devices has led to the generation of vast quantities of data, placing considerable strain on conventional cloud computing infrastructure. Edge computing has emerged as a viable solution to address this challenge. In this study, we propose an internet of things (IoT) signal processing framework that is combined with distributed edge nodes. the objective is to improve data transmission efficiency and real-time performance. Firstly, in consideration of the constrained resources of edge devices, we have devised lightweight preprocessing algorithms, including frequency domain filtering based on Fourier transform and a denoising algorithm based on wavelet transform, with the objective of reducing the noise and redundant information present in the original signal. Subsequently, the adaptive compressed sensing technology was employed to compress the preprocessed signal, which resulted in a notable reduction in the bandwidth requirement for data transmission. Subsequently, in order to fully utilise the computing capabilities of edge nodes, we introduce a multi-task learning collaborative computing model. the model permits the sharing of computing tasks between multiple edge nodes, facilitates data collaboration between edge nodes through federated learning, and reduces computing redundancy and communication overhead. the experimental phase employs the Google Edge TPU Dataset to evaluate the dataset pertinent to the internet of things. the results indicate that the proposed methodology exhibits a notable enhancement in data processing latency and transmission efficacy in comparison to the conventional approach.

关键词： Cloud computing Adaptation models Computational modeling Collaboration Signal processing algorithms Bandwidth Data processing internet of things Data communication Edge computing

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Deep reinforcement learning based delay-Aware task offloading for UAV-Assisted edge computing 5

Deep reinforcement learning based delay-Aware task offloadin...

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5th international conference on Algorithms, computing and Artificial Intelligence, ACAI 2022

作者： Huang, Mingxuan Sun, Kaixuan Hou, Yunpeng Ye, Zhicheng Wan, Yuanlong He, Huasen University of Science and Technology of China Hefei China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China

ISBN: (纸本)9781450398343

Multi-Access edge computing has been widely used in various internet of things (IoT) devices because of its excellent computing and fast interaction abilities. How to improve the service extensibility of edge computing and optimize the computing offload strategy has become the key to improve the quality of service to edge computing users. However, the traditional offloading strategy based on mathematical programming has exposed its inherent limitations in dynamic scenarios, and cannot meet the requirements of multiple-mobile terminals distributed in a large area. therefore, this paper use Unmanned Aerial Vehicles (UAVs) to establish a multi-UAV-Assisted edge computing framework for extending the service range, and proposes an offloading strategy based on reinforcement learning to offload the growing computing requirements from mobile terminals to edge servers. By mapping the states of mobile terminals and UAVs to the corresponding action space, and then offloading computing tasks to UAVs, the energy consumption caused by computing and processing tasks of mobile terminals can be effectively reduced. Jointly considering the potential dimensional disaster of state space and the convergence failure imposed by the increase of device numbers, a novel computation offloading strategy based on deep reinforcement learning is proposed. Moreover, we design a load-balancing mechanism in the UAVs to improve the processing capacity. Experimental results prove that our proposed algorithm can effectively reduce the computing energy consumption of mobile terminals and avoid task timeout with a short convergence time. © 2022 ACM.

关键词： Quality of service

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EdgeGuard: Real-Time Rule-Based Spam Detection for IOTA Tangle on Edge Devices

EdgeGuard: Real-Time Rule-Based Spam Detection for IOTA Tang...

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Emerging technology (INCET), international conference for

作者： Arunodhai V Leena P Susan Jinesh M. Kannimoola Department of Computer Science and Applications Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (数字)9798350361155

ISBN: (纸本)9798350361162

Our research paper addresses the pressing security challenges emerging within the rapidly expanding internet of things (IoT) landscape, with a specific focus on the IOTA Tangle—a distributed ledger based on Directed Acyclic Graph (DAG) technology. the proliferation of IoT devices has heightened the demand for secure and efficient transaction processing on distributed ledgers, but this surge also amplifies the risk of spam transactions that can compromise the integrity and efficiency of the ledger. In response to this imperative, we introduce EdgeGuard—a sophisticated rule-based spam detection system implemented on edge devices. this real-time system dynamically analyzes transaction data, applying predefined rules to differentiate between legitimate transactions and spam. Immediate action is taken to prevent spam transactions from infiltrating the IOTA Tangle, and the use of edge devices enhances the efficiency of spam detection by alleviating the load on servers. Notably, the system includes integration with real-time alerts using a messaging channel to notify system owners when spam transactions are identified. the effectiveness of EdgeGuard is rigorously validated through real-world data scenarios, demonstrating its capacity to thwart potentially harmful transactions. this research paper significantly contributes to the broader discourse on decentralized security measures, emphasizing the paramount importance of fortifying distributed ledgers. this is particularly crucial in critical IoT applications where unauthorized transactions could yield severe consequences. EdgeGuard stands as a robust solution, embodying innovation in tackling the evolving challenges posed by the intersection of IoT and distributed ledger technologies.

关键词： Technological innovation Directed acyclic graph distributed ledger Image edge detection Pressing Real-time systems internet of things

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An Intelligent Security Systems in Cloud computing using Cryptography Techniques

An Intelligent Security Systems in Cloud Computing using Cry...

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Electronics and Sustainable Communication Systems (ICESC), 2020 international conference on

作者： V Srilakshmi V Lakshmi Chetana Raghunadha Reddi Dornala S Parvathi Vallabaneni Ganji Ramanjaiah School of Computer Science and Engineering VIT -AP University Amaravati Andhra Pradesh India Department of Computer Science and Engineering School of Computing Amrita Vishwa Vidyapeetham India Walgreens USA Department of IT PVP Siddhartha Institute of Technology Vijayawada INDIA Dept.of CSE R V Institute of Technology GUNTUR

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

Delivering computing resources over the internet has seen a paradigm shift towards cloud computing. However, there are serious security risks because cloud environments are distributed and shared. Intelligent Security Systems (ISS) that use cryptographic techniques are now necessary to overcome these issues, such as data confidentiality, integrity, and authenticity; this study developed an ISS for cloud computing, concentrating on cryptographic techniques. the RSA-OAEP (Optimal Asymmetric Encryption Padding) and X.509 algorithms are combined to create the ISS and further cover a variety of cryptographic methods, emphasizing their functions in protecting cloud-based systems, including encryption, digital signatures, and key management. It also looks at improving security systems' threat detection and response capabilities by integrating artificial intelligence (AI) algorithms like Grubbs' Test. In addition, several issues and potential paths for intelligent security systems in cloud computing are examined, highlighting the necessity of ongoing study and development to remain ahead of developing cyber threats.

关键词： Cloud computing ISO Standards Standardization NIST threat assessment Libraries Encryption Security Artificial intelligence Interoperability

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