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VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in distributed IoT 25

VPFL: A Verifiable Property Federated Learning Framework Aga...

引用

25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Wu, Yuanxiang Cheng, Hang Guan, Lin Liu, Peihao Chen, Fei Wang, Meiqing College of Computer Science and Big Data Fuzhou University Fuzhou China

ISBN: (纸本)9798350330014

the development of Federated Learning (FL) offers an efficient Machine Learning (ML) approach with privacy protection to solve the data island issue in distributed Internet of things (IoT). However, existing FL frameworks still suffer from invisible attacks in IoT environments, such as free-rider attacks, backdoor attacks, and model theft. In this paper, we propose a Verifiable Property Federated Learning (VPFL) framework to overcome the above invisible attacks. We present a black-box watermarking task distribution mechanism to prevent free-rider attacks by verifying the property of local models. Our adversarial fine-tuning embedding technique can not only eliminate backdoors in global models, but also simultaneously embed white-box watermarks into model parameters to prevent model theft. Comprehensive experimental evaluations demonstrate that our framework outperforms state-of-the-art schemes in terms of security and feasibility against invisible attacks. © 2023 ieee.

关键词： Internet of things

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Short-Circuit Analysis for Complex Faults in Unbalanced Distribution Network with Inverter-Interfaced distributed Generators 4

Short-Circuit Analysis for Complex Faults in Unbalanced Dist...

引用

4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： He, Jin Liu, Ming Fu, Shuai Deng, Chong School of electrical and information technology Yunnan Minzu University Yunnan Key Laboratory of Unmanned Autonomous System Kunming China

ISBN: (纸本)9798350366914

In this paper, a method for short-circuit calculation (SCC) is proposed for analyzing complex faults in active unbalanced distribution networks with inverter-interfaced distributed generator (IIDG). Unlike previous short-circuit analyses, the proposed method is based on symmetrical components and can handle complex faults with an arbitrary number of faulty buses and phases, without the need for forming the composite sequence network or calculating the impedance matrix using an ideal transformer. Additionally, the proposed method takes into account the effect of unbalanced distribution network characteristics on the short-circuit current. this is done by considering the nonlinear nature of IIDG fault characteristics that are determined by the fault ride-through (FRT) control issue is approached by formulating the short-circuit analysis as an iterative linear system problem. this problem can be efficiently solved using the simpler Generalized Minimal Residual (SGMRES) algorithm. Finally, the analytical results of the proposed method were validated through a comparison using time-domain simulation results from various test in PSCAD. © 2024 ieee.

关键词： Power distribution faults

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FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments 19

FLARE: Detection and Mitigation of Concept Drift for Federat...

引用

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

作者： Chow, theo Raza, Usman Mavromatis, Ioannis Khan, Aftab Toshiba Europe Ltd Bristol Res & Innovat Lab Bristol Avon England Kings Coll London London England Waymap Ltd London England

ISBN: (纸本)9798350333398

Intelligent, large-scale IoT ecosystems have become possible due to recent advancements in sensing technologies, distributed learning, and low-power inference in embedded devices. In traditional cloud-centric approaches, raw data is transmitted to a central server for training and inference purposes. On the other hand, Federated Learning migrates both tasks closer to the edge nodes and endpoints. this allows for a significant reduction in data exchange while preserving the privacy of users. Trained models, though, may under-perform in dynamic environments due to changes in the data distribution, affecting the model's ability to infer accurately;this is referred to as concept drift. Such drift may also be adversarial in nature. therefore, it is of paramount importance to detect such behaviours promptly. In order to simultaneously reduce communication traffic and maintain the integrity of inference models, we introduce FLARE, a novel lightweight dual-scheduler FL framework that conditionally transfers training data, and deploys models between edge and sensor endpoints based on observing the model's training behaviour and inference statistics, respectively. We show that FLARE can significantly reduce the amount of data exchanged between edge and sensor nodes compared to fixed-interval scheduling methods (over 5x reduction), is easily scalable to larger systems, and can successfully detect concept drift reactively with at least a 16x reduction in latency.

关键词： Federated Learning distributed deployment Concept Drift Model Robustness Scalable IoT Inference

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CBAI: Cloud-Based Agile Infrastructure for Enhancing distributed Agile Development 4

CBAI: Cloud-Based Agile Infrastructure for Enhancing Distrib...

引用

4th international conference on computing, Mathematics and Engineering Technologies, iCoMET 2023

作者： Ali, Muhammad Cheema, Sehrish Munawar Aslam, Zaheer Naz, Ammerha Ayub, Nasir The Superior University Lahore Department of Software Engineering Lahore Pakistan University of Management and Technology Department of Computer Science Sialkot Pakistan University of Sialkot Department of Computer Science Sialkot Pakistan

ISBN: (纸本)9798350335316

distributed agile development comes with a lot of challenges in particular as it has to do with agile teams working together from different geological locations on the same project. Most probably it happens due to a lack of visibility in the complex development and deployment process, poor communication, and unavailability of the development team and corresponding customer in the same place. these factors affect the performance of the team and increase the overall cost of development. To mitigate all these aspects, we proposed a cloud computing-based Infrastructure which is a combination of both agile as well as cloud computing technology named 'CBAI'. the proposed Infrastructure assists the team members to work efficiently even if they are different geo-locations without burdening the cost. It provides the basic structure for global agile development and is also efficient in reducing the technical liability, and the need for project backlog. © 2023 ieee.

关键词： Cloud computing

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A Differential BCG sensor System for Long Term Health Monitoring Experiment on the ISS 18

A Differential BCG Sensor System for Long Term Health Monito...

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Kulau, Ulf Rust, Jochen Szafranski, Daniel Drobczyk, Martin Albrecht, Urs-Vito Hamburg Univ Technol Smart Sensors Hamburg Germany DSI Aerosp Technol GmbH Bremen Germany TU Braunschweig Braunschweig Germany German Aerosp Ctr DLR Inst Space Syst Cologne Germany Bielefeld Univ Med Fac OWL Dept Digital Med Bielefeld Germany

ISBN: (纸本)9781665495127

Comprehensive health monitoring is highly relevant for the safety of manned spaced missions. Ballistocardiography (BCG) is a method for providing information of the heart physiology by measuring accelerations on the body surface that are caused by forwarded heart and blood movements in the vascular system. In order to provide a sensor system with a high signal quality, this paper presents differential BCG sensing at the system level for digital accelerometers and its integration into a sensing system. the system is part of a running experiment of the Cosmic Kiss mission on the international Space Station (ISS). Compared to single sensor solutions, the noise power scales down to about 50%, the Signal to Noise Ratio (SNR) is increased by a factor of 1.87 and the BCG signal variability especially improves for diastole area. Furthermore, by exploiting differential sensing techniques, both high reliability is achieved and common mode interference is mitigated, which is of high importance within the scope of space applications. Beside the presentation of the entire wireless sensor system including differential sensing approach, pre-processing unit and Ultra Wideband (UWB) communication module, results of the pre-flight tests show the performance of the system as well as the suitability for targeted mission.

关键词： sensor System Ballistocardiography Deifferential Sensing Accelerometers Health Monitoring Human Spaceflight

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A protection scheme based on dual criterion of active injection and virtual voltage for distribution network line with T-connected distributed photovoltaic and load 4

A protection scheme based on dual criterion of active inject...

引用

4th international conference on Intelligent Power and systems, ICIPS 2024

作者： Qiu, Junqi Zhao, Ruifeng Li, Bin Zhongshan Power Supply Bureau Guangdong Power Grid Co. Ltd. Zhongshan China Power Dispatch and Control Center Guangdong Power Grid Co. Ltd. Guangzhou China

ISBN: (纸本)9798331532765

this paper firstly analyses the fault equivalent circuit of DG (distributed Generation) as a high-frequency harmonic source, and then deduces the fault characteristics of the electrical quantities at both ends on the basis of high-frequency harmonic injection, pointing out the weaknesses: easily affected by the load capacity of the T-connected load. Afterwards, this paper draws the equivalent circuit diagram of the positive sequence component after the fault and derives the difference expression of the virtual electrical quantity at the opposite end under internal or external faults at different locations, and then analyses the fault characteristics of positive sequence under the industrial frequency. On this basis, this paper proposes a double-terminal protection scheme based on the combination of high-frequency harmonic injection and virtual positive sequence differential principle. Finally, the protection scheme is verified on the MATLAB/SIMULINK platform. And the proposed protection method can identify faults within 30ms, with a capability of enduring transient resistance up to 200 Ω, noise immunity reaching 200 dB, and being unaffected by the size of T-connected load capacity or the fault location. © 2024 ieee.

关键词： MATLAB

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distributed Twins in Edge computing: Blockchain and IOTA 19

Distributed Twins in Edge Computing: Blockchain and IOTA

引用

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

作者： Sadad, Anwar Khan, Muazzam A. Ghaleb, Baraq Khan, Fadia Ali Driss, Maha Boulila, Wadii Ahmad, Jawad Quaid i Azam Univ Dept Comp Sci Islamabad Pakistan Edinburgh Napier Univ Sch Comp Engn & Built Environm Edinburgh Midlothian Scotland Univ Wah Dept Mech Engn Wah Engn Coll Wah Pakistan Prince Sultan Univ Secur Engn Lab CCIS Riyadh Saudi Arabia Prince Sultan Univ Robot & Internet Things Lab Riyadh Saudi Arabia

ISBN: (纸本)9798350333398

Blockchain (BC) and Information for Operational and Tactical Analysis (IOTA) are distributed ledgers that record a huge number of transactions in multiple places at the same time using decentralized databases. Both BC and IOTA facilitate Internet-of-things (IoT) by overcoming the issues related to traditional centralized systems, such as privacy, security, resources cost, performance, and transparency. Still, IoT faces the potential challenges of real-time processing, resource management, and storage services. Edge computing (EC) has been introduced to tackle the underlying challenges of IoT by providing real-time processing, resource management, and storage services nearer to IoT devices on the network's edge. To make EC more efficient and effective, solutions using BC and IOTA have been devoted to this area. However, BC and IOTA came with their pitfalls. this survey outlines the pitfalls of BC and IOTA in EC and provides research directions to be investigated further.

关键词： Blockchain IOTA distributed Ledger Edge computing IoT Bitcoin

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Signal Detection and Channel Estimation in Multiple Input Multiple Output Communication systems using distributed Approximate Message Passing 4

Signal Detection and Channel Estimation in Multiple Input Mu...

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4th ieee international conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Hussein, Layth Saranya, R. Yajaman, Gummagatta Vybhavi Malathy, V. Kumar, S. Senthil College of Technical Engineering The Islamic University of Al Diwaniyah Department of Computers Techniques Engineering Al Diwaniyah Iraq Bharathiyar Institute of Engineering for Women Department of Electronics and Communication Engineering Salem India Gokaraju Rangaraju Institute of Engineering and Technology Department of Computer Science and Engineering Hyderabad India Sr University Department of Electronics and Communication Engineering Warangal India New Prince Shri Bhavani College of Engineering and Technology Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350352931

In recent years, Multiple-Input Multiple-Output (MIMO) have revolutionized reliability and spectral efficiency of wireless communication systems. these systems exploit multiplexing and spatial diversity which enabling the essential for meeting the growing demands of modern wireless networks but it had challenges in detection of signals and estimation of channels. the traditional approaches for signal detection had faced challenges which include computational resources and network architecture. therefore, this research proposes distributed Approximate Message Passing (DAMP) for Signal Detection and Channel Estimation in MIMO communication systems. the collected data contains various digital and communication system which are pre-processed by using Deceived Non-Local Means (DNLM) and reduce the noise. these pre-processed data optimal features are extracted using Independent Component Analysis (ICA) with wavelet transform that separates mixed signals into independent components for eliminating the irrelevant attributes. Finally, distributed Approximate Message Passing (DAMP) is employed that enables message passing framework to approximate the posterior distribution for detecting the signal and channel estimation in MIMO communication systems. the proposed DAMP succeeded with high results including accuracy (98.92%), precision (94.85%), recall (96.86%), F1-score (94.35%) when compared with existing Generative Adversarial Network (GAN). © 2024 ieee.

关键词： Channel estimation

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Loss Estimation of Distribution Network Areas with distributed Generation Based on Improved Grey Wolf Algorithm and CatBoost 4

Loss Estimation of Distribution Network Areas with Distribut...

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4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： An, Haiyun Hou, Yuqi Zhou, Qian Power Economic Research Institute State Grid Jiangsu Electric Power Company Jiangsu Nanjing China Tianjin University Key Laboratory of Smart Grid of Ministry of Education Tianjin300072 China

ISBN: (纸本)9798350366914

To improve the accuracy of loss estimation in distribution network areas with distributed generation, this paper proposes a loss estimation model based on the improved Grey Wolf Optimizer (GWO) and CatBoost. First, Grey Relational Analysis (GRA) is used to calculate the correlation between line loss and indicators such as three-phase current imbalance coefficient, maximum branch loss, and voltage deviation index, forming a line loss feature set. then, based on the training set, the improved GWO is employed to optimize the hyperparameters of the CatBoost loss estimation model, preserving the optimal model hyperparameters. Finally, the trained CatBoost loss estimation model is validated using the test set, and Mean Squared Error (MSE) and R-squared (R2) are selected to evaluate the model's estimation results. the case study results indicate that, compared to other models, the proposed loss estimation model exhibits lower MSE and higher R2, resulting in better loss estimation performance. © 2024 ieee.

关键词： Power distribution networks

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Improved PBFT Consensus Algorithm Based on Reputation Value for IoT 4

Improved PBFT Consensus Algorithm Based on Reputation Value ...

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4th international conference on Blockchain Technology and Information Security, ICBCTIS 2024

作者： Niu, Kedi Yao, Zhongyuan Si, Xueming School of Cyberspace Security Zhongyuan University of Technology Zhengzhou China

ISBN: (纸本)9798331528324

Blockchain, as a decentralized distributed ledger technology, offers secure data exchange and reliable identity authentication for Internet of things (IoT) devices, introducing new ideas for IoT development. Practical Byzantine Fault Tolerance (PBFT) is a widely used consensus algorithm that is well-suited for the IoT environment due to its low computing power requirements. However, the vast number of devices in the IoT presents a challenge. PBFT necessitates inter-node communication, which leads to decreased scalability as the number of devices grows. To overcome these IoT limitations, this paper proposes an improved PBFT algorithm based on reputation value. Nodes are evaluated and assigned levels according to their reputation values, with higher level nodes being chosen to engage in the consensus process, thereby minimizing the risk of malicious nodes participating. the primary node is unpredictably chosen from high-reputation nodes using random numbers. this approach also simplifies the consensus algorithm process and reduces communication complexity. Experimental findings indicate that the reputation value-based improved PBFT algorithm can diminish communication overhead and consensus delay. © 2024 ieee.

关键词： distributed ledger

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