SDN, short for software Defined Networking, represents a network architecture controlled by software applications. Distributed Denial-of-Service (DDoS) attacks create a challenge to these SDN environments and lead to ...
详细信息
Robots are getting deployed at home and in industries, becoming an integral part of our daily lives. Sophisticated mechanisms are required to make the joints of the robots compact and simple. In this paper, we have de...
详细信息
With the advancement of computer and human speech signal processing technology, the functionality and practicality of English pronunciation learning systems have been further enhanced. Gaussian Mixed Model (GMM) is a ...
详细信息
A novel intelligent patient call system based on surface electromyography recognition is proposed to improve the performance of existing call systems which have the issues of fixed location, inconvenient calling and l...
详细信息
[Context and motivation] Advancements in machine learning (ML) have impacted driving automation systems (DAS) as well as ML-based perception systems. This increased complexity leads to intensified multi-party collabor...
详细信息
The high voltage cascaded charging power supply is applied to the electromagnetic lunch system as the prime energy. A control system based on the time sequence code control strategy is designed to control the opening ...
详细信息
The proceedings contain 40 papers. The special focus in this conference is on IoT, Electronics and Mechatronics. The topics include: Exploring Mangrove Complexity with Gate-Based Fractal Analysis Through AND Circuitry...
ISBN:
(纸本)9789819747832
The proceedings contain 40 papers. The special focus in this conference is on IoT, Electronics and Mechatronics. The topics include: Exploring Mangrove Complexity with Gate-Based Fractal Analysis Through AND Circuitry;enhancing Paralympic Athlete Performance: Kinematic Analysis and computer Information systems for Optimal Training Load Adjustment;Enhancing ECG Heartbeat Signal Classification Through Multi-Step Preprocessing and Machine Learning Model Optimization;features of Data Collection and software Tool Architecture for Performing Predictive Analysis of Phenomena Leading to Forest Fires;augmenting Reliability in Speaker Recognition systems Through Low Density Parity Check Codes;an Analytical Study of Text Summarization Techniques;MAPExeCPS: A Platform to Support the Commercial Value and Production Condition of Mud Crabs of the Genus Scylla spp. In the Philippines;ioT Guardian: An Intelligent Framework for Multi-Class Intrusion Detection with Machine Learning;Development of an Approach to Analysis and Classification of EMG Signals for Prosthesis Control;high Impedance Surfaces: Unique Properties and Applications;big Data Analytics Approach with Multiple Text Types: The Case of the computer Gaming;dynamic Change of Three-Dimensional Soil in Game Simulators;an Approach to Design a Cost-Effective Thermocycler for Polymerase Chain Reaction;ioT Machine Learning-Based Health Compliance Monitoring System;an IoT-Based Mobile Air Pollution Monitoring System;data Allocation and Replication Strategies in Edge Computing;structure of Control Computing Facilities of Data Transmission Networks and Features of Dispatch Algorithm Programs;Enhancing Power Allocation in MIMO-OFDM systems: Latest Approaches and Algorithms;supercapacitor-Based Power Supply for Embedded System Applications;an Ideal Pulsed Electromagnetic Field Device Based on a Multidimensional Model of Light.
The proceedings contain 40 papers. The special focus in this conference is on IoT, Electronics and Mechatronics. The topics include: Exploring Mangrove Complexity with Gate-Based Fractal Analysis Through AND Circuitry...
ISBN:
(纸本)9789819747795
The proceedings contain 40 papers. The special focus in this conference is on IoT, Electronics and Mechatronics. The topics include: Exploring Mangrove Complexity with Gate-Based Fractal Analysis Through AND Circuitry;enhancing Paralympic Athlete Performance: Kinematic Analysis and computer Information systems for Optimal Training Load Adjustment;Enhancing ECG Heartbeat Signal Classification Through Multi-Step Preprocessing and Machine Learning Model Optimization;features of Data Collection and software Tool Architecture for Performing Predictive Analysis of Phenomena Leading to Forest Fires;augmenting Reliability in Speaker Recognition systems Through Low Density Parity Check Codes;an Analytical Study of Text Summarization Techniques;MAPExeCPS: A Platform to Support the Commercial Value and Production Condition of Mud Crabs of the Genus Scylla spp. In the Philippines;ioT Guardian: An Intelligent Framework for Multi-Class Intrusion Detection with Machine Learning;Development of an Approach to Analysis and Classification of EMG Signals for Prosthesis Control;high Impedance Surfaces: Unique Properties and Applications;big Data Analytics Approach with Multiple Text Types: The Case of the computer Gaming;dynamic Change of Three-Dimensional Soil in Game Simulators;an Approach to Design a Cost-Effective Thermocycler for Polymerase Chain Reaction;ioT Machine Learning-Based Health Compliance Monitoring System;an IoT-Based Mobile Air Pollution Monitoring System;data Allocation and Replication Strategies in Edge Computing;structure of Control Computing Facilities of Data Transmission Networks and Features of Dispatch Algorithm Programs;Enhancing Power Allocation in MIMO-OFDM systems: Latest Approaches and Algorithms;supercapacitor-Based Power Supply for Embedded System Applications;an Ideal Pulsed Electromagnetic Field Device Based on a Multidimensional Model of Light.
Blockchain technology is a popular solution for secure transactions in untrusted networks. However, with the growing number of blockchain applications, how to ensure the security of the blockchain system itself has be...
详细信息
ISBN:
(纸本)9783031649479;9783031649486
Blockchain technology is a popular solution for secure transactions in untrusted networks. However, with the growing number of blockchain applications, how to ensure the security of the blockchain system itself has become an urgent problem. In this paper, we propose a novel security-testing framework for blockchain systems based on a vulnerability-detection model. Our study involves an analysis and comparison with existing software-vulnerability analysis methods. Our framework first addresses each factor that impacts the security of the blockchain system, with a vulnerability attack graph being constructed using model-checking to describe the complete exploitation process of system vulnerabilities. Reliability Theory is used to quantitatively assess the vulnerability attack graph of the blockchain system, thereby providing a theoretical basis for evaluating its security. Finally, we verify the effectiveness and feasibility of the proposed security-testing framework for blockchain systems on an e-voting election blockchain system. The results from our extensive experiments show that our proposed method outperforms other formal-verification-based methods for detecting blockchain vulnerabilities, and also provides a scientific and reliable assessment of blockchain system security.
In recent years, the rise of big data has popularized data-driven decision-making. However, the interpretability shortcomings of artificial intelligence (AI) models limit their reliability for critical decisions. This...
详细信息
暂无评论