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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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A Layer-Based Sparsification Method For distributed DNN Training

A Layer-Based Sparsification Method For Distributed DNN Trai...

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ieee international conference on High Performance computing and Communications (HPCC)

作者： Yanqing Hu Qing Ye Zhongyu Zhang Jiancheng Lv Sichuan University Chengdu China

With the increasing size of Deep Neural Networks (DNNs) and datasets, DNN training will consume a lot of time. Various distributed strategies have been utilized to speed up the training process. Nevertheless, the frequent communication between different computational nodes dramatically limits the scale of the cluster. Currently, many gradient compression methods (e.g., Sparsification, Quantization, Low-Rank) have been proposed to optimize the transmission process. Since each layer needs to be processed and compressed respectively before transmission, a rash of time-consuming tensor operations is demanded. To alleviate this issue, we propose a layer-based sparsification method, which stems from the observation that the learning efficiency and convergence speed of different layers of DNN is different during the training process. Instead of compressing all gradients in an iteration, some layers are preferentially selected using a well-designed sliding window, which largely avoids unnecessary tensor operations. The sliding window is adjusted according to the dynamic characteristics of the parameter during the DNN training. Extensive experiments on one Text task and two Image Classification tasks are conducted to validate the efficiency of the proposed method in the same environment configuration, where the gradient compression adopts the layer-based sparsification and the other three comparative state-of-the-art methods. The total training time, communication time, and model accuracy are collected and analyzed. Sufficient experimental results demonstrate that both training and communication time can be greatly reduced, which is especially up to 60% in some cases. Additionally, despite slightly decreased within 1% model quality, the results indicate that the improvement in throughput can be as high as 50%.

关键词： Training Image coding Tensors Quantization (signal) Computational modeling Throughput Data models

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A sensor attack detection method based on fusion interval and historical measurement in CPS 39

A sensor attack detection method based on fusion interval an...

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39th ieee international Performance computing and Communications conference (IPCCC)

作者： Cai, Xiaobo Han, Ke Li, Yan Li, Xuefei Zhang, Jiajin Zhang, Yue Yunnan Agr Univ Coll Big Data Kunming Yunnan Peoples R China Kunming Met Coll Sch Elect & Mech Engn Kunming Yunnan Peoples R China

ISBN: (纸本)9781728198293

Cyber-physical systems (CPS) is a next-generation intelligent system that realizes close integration of computing, communication and physical elements based on environmental perception. The interaction between information technology and the physical world makes CPS vulnerable to various malicious attacks and damage Its security. The paper designs a sensor attack detection method based on fusion interval and historical measurement. The method first builds different fault models for different sensors, and uses system dynamics equations to integrate historical measurements into the attack detection method. Different aspects of sensor measurement are analyzed. In addition, the use of historical measurement and fusion interval solves the problem of whether there is a failure when the measurements of two sensors intersect. The core idea of this method is to use the paired inconsistent relationship between sensors to detect and identify attacks.

关键词： CPS security transient failure multi-sensor fusion algorithm sensor attack detection and recognition

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A Cloud-Based Key Rolling Technique for Alleviating Join Procedure Replay Attacks in LoRaWAN-based Wireless sensor Networks

A Cloud-Based Key Rolling Technique for Alleviating Join Pro...

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ieee international conference on Big Data

作者： Dimitra Papatsaroucha Nikolaos Astyrakakis Evangelos Pallis Panagiotis I. Radoglou Grammatikis Panagiotis G. Sarigiannidis Evangelos K. Markakis Department of Computer & Electrical Engineering Hellenic Mediterranean University Heraklion Greece Department of Industrial Design and Production Engineering University of West Attica Athens Greece K3Y Sofia Bulgaria Department of Informatics and Telecommunication Engineering University of Western Macedonia Kozani Greece

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

Nowadays, numerous devices are utilizing the IoT world, connecting and providing access to data and sensor measurements in vast networks of interconnected objects and devices. Considering the great communication distances that need to be covered occasionally, the LoRaWAN network was proposed as it employs Low Power (LP) and Long Range (LoRa) protocols that reduce device energy consumption while maximizing communication range. A gateway to the cloud authenticates LoRaWAN IoT devices before data transmission. This procedure begins with an unencrypted Join Request. A Join Request includes, among others, a Message Integrity Code (MIC), which is the result of encrypting the unencrypted contents of the message using an AppKey that is securely stored both in the cloud and the IoT device. However, malicious actors acting as Man-In-the-Middle (MITM) can interfere in the communication channel, reverse engineer the MIC value, and derive the AppKey. They can then initiate a Join Request that is misinterpreted as coming from a legitimate device and gain access to the communication channel. This paper introduces a novel approach that focuses on the continuous regeneration of the AppKey, necessitating frequent re-joining and re-authentication of IoT devices within the network. The suggested method, which can be added as an extra layer of security in LoRaWAN networks, uses a key rolling technique similar to the one used in automobile central locking systems, and is developed as an optimised and scalable microservice for various LoRaWAN installations and versions. Through the evaluation process, significant findings emerged, demonstrating the effectiveness of the proposed security solution in mitigating replay attacks. The system successfully prevented the server from getting flooded by malicious packets, distinguishing it from a system lacking the proposed mechanism. Remarkably, this accomplishment was made without causing any noticeable delay to the communication process. In addit

关键词： Cloud computing Microwave integrated circuits Wireless sensor networks Codes LoRaWAN Authentication Communication channels Internet of Things Servers Vehicle dynamics

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A Novel Blockchain-based Decentralized Multi-party Certificate Management Framework

A Novel Blockchain-based Decentralized Multi-party Certifica...

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ieee international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Shalitha Wijethilaka Awaneesh Kumar Yadav An Braeken Madhusanka Liyanage School of Computer Science University College Dublin Ireland Department of Computer Science and Engineering Indian Institute of Technology Roorkee Roorkee Uttarakhand India Department of Engineering Technology (INDI) Vrije Universiteit Brussel Belgium Centre for Wireless Communications University of Oulu Finland

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Digital certificates play a significant role in the current communication systems. However, with the limitations in the existing Certificate Management Frameworks (CMFs), such as single point of failure, the profound nature of existing certificates, and malicious Certificate Authorities (CAs), a novel framework is required to optimize certificate management. Even though blockchain is a popular approach in designing CMFs, they also failed to address all these limitations. There are no existing frameworks that distribute the functionality of the centralized CA to address these issues. Therefore, this paper proposes a blockchain-based, lightweight CMF while distributing the centralized certificate generation process among multiple parties. Certificate generation, validation, and revocation can be performed with our framework. We design the required secure communication protocols to deploy our framework in any blockchain. The proposed framework is implemented on top of a Hyperledger Fabric environment and performed a set of experiments to evaluate the performance of the framework. Also, a formal security analysis for the proposed communication protocols is provided using known security verification methods such as BAN logic and the Scyther tool.

关键词： Privacy Protocols distributed ledger Computational modeling Fabrics Blockchains Security

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Design of MRCC for LCL Filtered Grid Connected Inverter with sensor-Less Active Damping

Design of MRCC for LCL Filtered Grid Connected Inverter with...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Mohammad Alshiekh Department of Industrial Electronics Tomsk University of Control Systems and Radio Electronics (TUSUR) Tomsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Voltage source inverter is widely utilized in modern power systems, especially in distributed power generation systems that rely on renewable energy. The LCL filter is used to connect voltage source inverter to the grid since it provides better inverter harmonic attenuation when compared with the traditional L filter. However, the design of the controller for grid-injected current is more complex because of the resonance in the filter. Adding a resistor in series with filter capacitor can solve resonance stability problem; But this solution increases the gain of the filter at high frequencies, which has a bad effect on attenuation of inverter harmonics. Active damping using filter capacitor current control loop will raise the cost since an additional current sensor is needed to achieve active damping. In addition, the delay in the digital controller has a very harmful effect on system stability and might lead to system instability in some conditions. In this paper, a current controller method for grid-connected inverters is proposed to achieve high stability margins in the system in strong and weak grid conditions; without adding current sensor to measure filter capacitor current. The controller depends only on the measurement of voltage and grid-injected current at the point of common coupling. The filter capacitor current is estimated and predicted one-time step in advance by a state observer based on these two measurements. This allows to exclude the delay effect at active damping loop and to implement of active damping without the need for additional current sensor. To achieve high quality reference current tracking and boosting system immunity against grid voltage harmonics, a multi-resonant current controller is used. The efficiency of the suggested control scheme is demonstrated by the experimental results for the 1 kw prototype.

关键词： Damping Voltage measurement Voltage source inverters Current measurement Capacitors Power system stability Harmonic analysis

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Design and Development of Cloud Based Mobile Health Monitoring System 3

Design and Development of Cloud Based Mobile Health Monitori...

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3rd ieee international Virtual conference on Innovations in Power and Advanced computing Technologies, i-PACT 2021

作者： Prasanth, C.P. Prakash, R. Rufus, Elizabeth Alex, Zachariah C School of Electronics Engineering Vellore Institute of Technology Department of Internet of Things and Sensor Systems Vellore India School of Electronics Engineering Vellore Institute of Technology Department of Sensor and Biomedical Technology Vellore India

ISBN: (纸本)9781665426916

The present covid-19 pandemic necessitates the need for a cost effective and efficient remote health monitoring mechanisms for the collection, transmission, evaluation, and communication of patient health data from electronic devices since many find it difficult to go for regular medical checkup due to safety concerns. Therefore, we require a remote health monitoring system that can monitor different body parameters and transmit it to a health care provider in a remote location. This paper describes the design and development of a remote health monitoring system capable of measuring ECG, Heart rate and SpO2 using AD8232, MAX30100 or MAX30102 and transfer this information to physicians using IoT. The ESP32 module is used to establish the IoT connectivity and share the vital information to medical practitioners for real-time analysis through a smartphone or Tab. In the present work, Blynk IoT cloud platform is used to communicate with hardware and software. The size of the designed PCB board is less than 60mm x 60 mm, therefore the size and weight of the device are very small and able to attach on the patient's cloth or in the body with the help of a Velcro belt. This helps the patient to easily carry the device without any discomfort. © 2021 ieee.

关键词： Electrocardiograms

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distributed DoS Detection in IoT Networks Using Intelligent Machine Learning Algorithms 2

Distributed DoS Detection in IoT Networks Using Intelligent ...

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2nd international conference on Smart Technologies in computing, Electrical and Electronics, ICSTCEE 2021

作者： Binny, S. Pendyala, Shamili Srimani Pimo, S. John Aurelia, Sagaya Reddy, P Rahul Satyanarayana, Damaraju Sri Sai Kristu Jyoti College of Management and Technology Department of Computer Science Kerala India Institute of Aeronautical Engineering Department of ECE Hyderabad India St. Xavier's Catholic College of Engineering Nagercoil India Christ University Bangalore India Geethanjali Institute of Science and Technology ECE Nellore India Chalmers University of Technology Goteborg Sweden

ISBN: (纸本)9781665482974

The threat of a distributed Denial of Service (DDoS) attack on web-based services and applications is grave. It only takes a few minutes for one of these attacks to cripple these services, making them unavailable to anyone. The problem has further persisted with the widespread adoption of insecure Internet of Things (IoT) devices across the Internet. In addition, many currently used rule-based detection systems are weak points for attackers. We conducted a comparative analysis of ML algorithms to detect and classify DDoS attacks in this paper. These classifiers compare Nave Bayes with J48 and Random Forest with ZeroR ML as well as other machine learning algorithms. It was found that using the PCA method, the optimal number of features could be found. ML has been implemented with the help of the WEKA tool. © 2021 ieee.

关键词： Denial-of-service attack

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Enhancing Irrigation Efficiency with AI-Based Instinctive Irrigation System (IIS) in Wireless sensor Networks

Enhancing Irrigation Efficiency with AI-Based Instinctive Ir...

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ieee international conference on System, Computation, Automation and Networking (ICSCAN)

作者： M. Pajany K. Suresh Kumar T. Ananth Kumar R. Rajmohan K. Gopal Ram Department of Computer Science and Engineering Presidency University Bangalore Karnataka India Electronics and Communication Engineering IFET College of Engineering Tamil Nadu India Computer Science and Engineering IFET College of Engineering Tamil Nadu India Department of Computing Technologies SRM Institute of Science and Technology Tamil Nadu India Electronics and Communication Engineering Stella Mary's College of Engineering Tamil Nadu India

An AI-assisted intuitive irrigation system built on Arduino and Zigbee that operates within a wireless sensor network is an example of an innovative application of technology in the field of agriculture. This technology enhances the process of watering in real time by utilizing sensors, microcontrollers, a wireless connection, and algorithmic programs that are powered by artificial intelligence. An open-source microcontroller platform serves as the “brains” of the system, receiving data from a wide variety of sensors and using that information to direct the operation of the irrigation system. The Arduino and the nodes that contain the sensors are connected by means of a bridge that is formed by the wireless connection module. In the field, numerous kinds of sensors are used to measure a wide variety of properties, including soil moisture, air temperature, relative humidity, and light intensity, to name just a few of these factors. The artificial intelligence program receives data from the sensors, and it uses that data to make judicious judgments regarding the amount of water to apply to the plants. A solenoid valve and a pump are only two examples of the types of gear that are utilized in irrigation systems to regulate the flow of water. They can be powered on using the Arduino if desired. When constructing wireless sensor networks, it is crucial to keep energy saving in mind as one of the important issues to consider about. ZigBee is a significant advancement in technology that contributes to the resolution of this complex problem. Through the utilization of wireless sensor networks and monitoring systems, the primary objective of this research is to advance our comprehension of data transmission via wireless media. The development of a fully automated irrigation system suitable for usage in Pennsylvania is the primary objective of this research. The regulation of temperature, the amount of moisture in the soil, and the level of humidity in the air are the three k

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Predictive Maintenance in Electrical Machines: An Edge computing Approach

Predictive Maintenance in Electrical Machines: An Edge Compu...

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Industrial Cyber-Physical systems (ICPS)

作者： Javier De las Morenas Francisco Moya-Ferná ndez Mantis Research Group University of Castilla-La Mancha Almaden-Toledo Spain

Predictive maintenance is one of the premises of the Industry 4.0. A condition monitoring and fault diagnostic never seen before are possible with the new technologies embracing the digitalisation. This paper presents an edge computing approach for the predictive maintenance of electrical machines based on motor current signature analysis (MCSA), using Fast Fourier Transform (FFT) and a Support Vector Machine (SVM) classifier. A broken rotor bars and eccentricity fault detection are implemented on Arduino platform, providing a low-cost solution affordable for small and medium enterprises. The system has been tested in a lathe in one of the laboratories of the Mining and Industrial School of Almaden (UCLM) with satisfactory results.

关键词： Support vector machines Laboratories Rotors sensor systems Fourth Industrial Revolution sensors Prognostics and health management

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Zero Trust Score-based Network-level Access Control in Enterprise Networks

Zero Trust Score-based Network-level Access Control in Enter...

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ieee international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Leonard Bradatsch Oleksandr Miroshkin Nataša Trkulja Frank Kargl Institute of Distributed Systems Ulm University Ulm Germany KIZ Ulm University Ulm Germany

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Zero Trust security has recently gained attention in enterprise network security. One of its key ideas is making network-level access decisions based on trust scores. However, score-based access control in the enterprise domain still lacks essential elements in our understanding, and in this paper, we contribute with respect to three crucial aspects. First, we provide a comprehensive list of 29 trust attributes that can be used to calculate a trust score. By introducing a novel mathematical approach, we demonstrate how to quantify these attributes. Second, we describe a dynamic risk-based method to calculate the trust threshold the trust score must meet for permitted access. Third, we introduce a novel trust algorithm based on Subjective Logic that incorporates the first two contributions and offers fine-grained decision possibilities. We discuss how this algorithm shows a higher expressiveness compared to a lightweight additive trust algorithm. Performance-wise, a prototype of the Subjective Logic-based approach showed similar calculation times for making an access decision as the additive approach. In addition, the dynamic threshold calculation showed only 7% increased decision-making times compared to a static threshold.

关键词： Access control Privacy Additives Heuristic algorithms Decision making Prototypes Network security

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