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共 2755 条记录，以下是151-160 订阅

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DLSDN: Deep Learning for DDOS attack detection in Software Defined networking 11

DLSDN: Deep Learning for DDOS attack detection in Software D...

引用

11th international conference on Cloud computing, Data Science and Engineering (Confluence)

作者： Ahuja, Nisha Singal, Gaurav Mukhopadhyay, Debajyoti Bennett Univ CSE Dept Greater Noida India

ISBN: (纸本)9781665414517

Software defined networking is going to be an essential part of networking domain which moves the traditional networking domain to automation network. Data security is going to be an important factor in this new networking architecture. Paper aim to classify the traffic into normal and malicious classes based on features given in dataset by using various deep learning techniques. the classification of traffic into one of the classes after pre-processing of the dataset is dune. We got accuracy score of 99.75% by applying Stacked Auto-Encoder Multi-layer Perceptron (SAE-MLP) which is explained in the paper. thus, the purpose of network traffic classification using deep learning techniques was fulfilled.

关键词： Software-Defined networking (SDN) Mininet Emulator DDOS attack dataset Deep Learning

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Research on computing and Network Convergence Resource Allocation Based on Stackelberg Game for New Power System 11

Research on Computing and Network Convergence Resource Alloc...

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11th Joint international Information Technology and Artificial Intelligence conference, ITAIC 2023

作者： Xu, Zhongping Miao, Linghua Du, Changyu Qi, Yuanyuan Meng, Xianzhou Beijing FibrLink Communications Co. Ltd. Beijing China School of Computer Science Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350333664

With the development of new power system and computing and network convergence technology, the number of intelligent power communication devices is increasing exponentially. On the one hand, the upgrading of microprocessor technology has provided the possibility for devices to handle high energy consumption and fast response applications. On the other hand, the maturity of Device to Device (D2D) technology provides computing and network convergence support for the implementation of short distance, low latency, and low energy data transmission. this article studies on adjusting the price of computing resources for service-oriented users in new power system, while using KM algorithm to match SU and RU, to achieve effective computing resource allocation and improve user experience. Considering that idle devices require energy consumption to provide computing services for RU devices, in order to ensure the efficiency of SU, it is necessary to charge for computing resources and optimize the price of computing resources based on Stackelberg game to improve the efficiency of SU. And we optimize user unloading direction based on KM algorithm at a given price. Simulations show that the proposed strategy has high efficiency of computing resource allocation for new power system. © 2023 IEEE.

关键词： computing and network convergence D2D Network resource configuration New power system Stackelberg game

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HYDRO: Hybrid Orchestration of In-Network Computations for the Internet of things 11

HYDRO: Hybrid Orchestration of In-Network Computations for t...

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11th international conference on the Internet of things (IoT)

作者： Ambalavanan, Uthra Grewe, Dennis Nayak, Naresh Ott, Joerg Robert Bosch GmbH Bosch Res Renningen Germany Tech Univ Munich Munich Germany

ISBN: (纸本)9781450385664

For some of the Internet-of-things (IoT) applications, there is a need for processing huge amounts of data stemming from the network edge in near real-time manner. To this end several in-network computation frameworks have been developed which deploy functions in the computing infrastructure from the edge to the cloud. Some of these frameworks take a centralized approach to the orchestration problem with a central entity making deployment decisions of the functions. Others decentralize such decisions. In this paper, we present HYdrO, which is a hybrid approach to orchestration of functions, i.e., a centralized instance gathers the state of the network and provides hints to the individual computing nodes for an efficient resolution of computation requests. We show with a concrete example of Named Function networking (NFN), a computing framework based on Information Centric networking, that HYdrO can improve completion times of requests and distribute the load of the infrastructure.

关键词： Hybrid Orchestration Information Centric networking Named Function networking In-Network computing

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Method for Filtering DDoS Attack Traffic through Routing Path within SDN Domain

Method for Filtering DDoS Attack Traffic through Routing Pat...

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IEEE international conference on Big Data Security on Cloud (BigDataSecurity), High Performance and Smart computing (HPSC) and Intelligent Data and Security (IDS)

作者： Meng Yue Mingzhi Yang Hanwen Xu Zhijun Wu College of Safety Science and Engineering Civil Aviation University of China Tianjin China

ISBN: (数字)9798331595104

ISBN: (纸本)9798331595111

Attacks that aim to disrupt services, known as distributed Denial of Service (DDoS), exploit protocol vulnerabilities and utilize legitimate traffic to target systems, thereby threatening the normal operation of the network. this paper proposes a method for filtering DDoS attack traffic along routing paths within the Software Defined networking (SDN) domain. the method, based on the SDN framework, employs a consistency hashing algorithm to select nodes in the global routing platform, forming secure access paths. By utilizing the accuracy of edge node detection and inter-domain cooperation, the attack is effectively mitigated along the path close to its origin, which is referred to as path filtering. the paper also provides a design for the filtering framework and details the filtering steps.

关键词： Filtering Image edge detection Collaboration Routing Denial-of-service attack Vectors Consensus protocol IP networks Computer crime Software defined networking

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Wireless Communications Network and Mobile computing using Blockchain in distributed Internet of things 11

Wireless Communications Network and Mobile Computing using B...

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11th international conference on System Modeling and Advancement in Research Trends, SMART 2022

作者： Mishra, Ramapati Joshi, Kapil Gangodkar, Durgaprasad Institute of Engineering and Technology Dr. RML Avadh University Uttar Pradesh Faizabad India Uttaranchal Institute of Technology Uttaranchal University India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun India

ISBN: (纸本)9781665487320

Electronic gadgets now work closely together as a result of the growth of the Internet of things (IoT) and Mobile Edge computing (MEC). Strong dependability and integrity of the technologies are required. But the present trust procedures have the big drawback: (1) they significantly depend on a trustworthy third party, which might have serious security problems if it were compromised;and (2) they subject the associated devices to malicious assessments that may skew their trustrank. In this research, we propose a blockchain-based done to assure for global IoT devices that incorporates the ideas of financial planning and cryptography. the link prediction mechanism uses norms trust but also risk metrics to quantify trustrank, and a novel storage structure is created to make it easier for the domain secretariat to spot and remove fraudulent assessments of the objects. Evidence suggests that the suggested trust system can protect IoT devices from malicious assaults while also guaranteeing data exchange and consistency. © 2022 IEEE.

关键词： Internet of things

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Proceedings of the 2022 IEEE conference on Cloud networking 2022, CloudNet 2022

Proceedings of the 2022 IEEE Conference on Cloud Networking ...

引用

11th IEEE international conference on Cloud networking, CloudNet 2022

ISBN: (纸本)9781665486279

the proceedings contain 41 papers. the topics discussed include: federated learning approach for auto-scaling of virtual network function resource allocation in 5G-and-beyond networks;a demand aware strategy for a machine learning approach to VNF-PC problem;token-based authentication and access delegation for HW-accelerated telco cloud solution;robust multi-resource allocation against controller failures in network slice provisioning;deployment guidelines for cloud-ran in future mobile networks;adapting Kubernetes controllers to the edge: on-demand control planes using Wasm and WASI;Bifrost: a secure, scalable and efficient file sharing system based on dual deduplication;optimal network selection method using federated learning to achieve large-scale learning while preserving privacy;cloud orchestration for optimized computing efficiency: the case of wind resource modelling;on the deployment of blockchain in edge computing wireless networks;resource allocation in multiple backup modes under reliability guarantee with workload-dependent failure probability;and reconfiguring network slices at the best time with deep reinforcement learning.

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Harnessing Resource and Demand Flexibility for Energy Management in Urban Micro-grids 11

Harnessing Resource and Demand Flexibility for Energy Manage...

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11th international conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022

作者： Subramanian, Lalitha Jiyan, Wu Tjandra, Rudy Troitzsch, Sebastian Massier, Tobias Teh, Erine Siew Pheng Migne, Romain Yan, Xu EDF Lab Singapore Singapore TUMCREATE Ltd. Singapore Singapore Institute of Technology Engineering Cluster Singapore Institute for High Performance Computing Agency for Science Technology and Research Singapore Singapore Institute of Technology Chemical Engineering and Food Technology Cluster Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9798350399660

Successful adoption of distributed clean energy resources requires the enhancement of system flexibility from both the generation and the demand side. this paper presents a case study on the Punggol Digital District of Singapore exploring both distributed generation, storage, and demand side flexibility. the distributed generation resources investigated include rooftop photovoltaic systems and waste-to-electricity generation via hydrogen and fuel cell technology. In the urban use case, the local demand to be served far exceeds the local distributed clean energy generation potential. therefore in this context, flexibility is the key added value of collective self-consumption, which could be leveraged as a valuable grid service in the city-state to support the integration of variable renewable energy resources. In this context, this work presents the assessment of the flexibility that can be provided by the cooling demand and electric vehicles by the control of respective demand-side resources. © 2022 IEEE.

关键词： Energy management

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A Survey on Task Offloading in Edge computing for Smart Grid 11th

A Survey on Task Offloading in Edge Computing for Smart Grid

引用

11th international conference on Computer Engineering and Networks, CENet2021

作者： Shen, Jing Li, Yongjie Zhang, Yong Zhou, Fanqin Feng, Lei Yang, Yang State Grid Henan Electric Power Company Information Communication Company Henan China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9789811665530

With the rapid development of smart grid, traditional cloud computing architectures struggle to meet the needs of new power applications with low latency and large connectivity in the context of big data. Hence, edge computing has emerged. Edge computing is closer to the edge of the network where data is generated, enabling fast data processing and supporting swift user requests. this paper describes the system architecture of edge computing and the principles of task offloading in smart grid. It finally concludes with a summary of existing issues and future trends. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smart power grids

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An Anomaly Detection Method Based on Adaptive Log and Dual Feature Fusion Analysis for distributed Systems

An Anomaly Detection Method Based on Adaptive Log and Dual F...

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Information Systems and computing Technology (ISCTech), international conference on

作者： Yijiang Jia Kefei Li Ping Lu Baodi Xie Huayang Wang Jincai Chen School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China National Key Laboratory of Modeling and Simulation for Complex Systems Beijing China

In this study, we present a middleware-based approach for detecting anomalies in distributed systems. Our method facilitates the dynamic collection of logs at various levels of detail and incorporates an a priori dictionary-based compression strategy to process and transmit logs, minimizing the performance impact on distributed systems. Additionally, we utilize a dual feature fusion technique to analyze the logs. We evaluate the effectiveness of our approach by performing anomaly detection in a publish/subscribe distributed system and comparing it with existing methods. the results illustrate that our method outperforms other approaches, demonstrating superior performance.

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Greedy networking in Cryptocurrency Blockchain 37th

Greedy Networking in Cryptocurrency Blockchain

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37th IFIP TC 11 international conference on ICT Systems Security and Privacy Protection (IFIP SEC)

作者： Wuthier, Simeon Chandramouli, Pranav Zhou, Xiaobo Chang, Sang-Yoon Univ Colorado Dept Comp Sci Colorado Springs CO 80907 USA

ISBN: (纸本)9783031069758;9783031069741

Proof of work (PoW) is a widely adopted distributed consensus protocol which enables cryptocurrency transaction processing without a trusted third party. the miners are financially incentivized to participate in the PoW consensus protocol, and PoWrelies on the underlying peer-to-peer (P2P) networking for receiving and transmitting the transactions and the up-to-date blocks (which are the inputs for the PoW consensus protocol). We study the rational miner strategy but control an orthogonal parameter from those in the previous blockchain research, which has studied the control of the mining power or the timing of the block submissions (e.g., selfish mining or block withholding). More specifically, we study greedy networking, in which a miner node increases its connectivity beyond the default protocol to expedite the deliveries of blocks and transactions for an unfair mining advantage. While greedy networking has been actively studied in the general P2P networking, it has not been systematically studied in cryptocurrency and blockchain despite the alleged real-world instances by the Bitcoin community. We build an analytical framework for greedy networking and study how the networking control impacts the cryptocurrency application to quantify the benefits and costs of the networking control. To demonstrate the use of our framework, we implement a greedy networking prototype based on an active Bitcoin node connected to the Mainnet while simulating different miner capabilities by varying the computing backend of the miner. In contrast to the previous belief in blockchain and cryptocurrency, we discover that the optimal number of connections is bounded (limiting the greedy behavior) and depends on the hash computing capability of the miner.

关键词： Blockchain Bitcoin Peer-to-peer networking Proof of Work (pow) Mining Rational strategy Greedy networking

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