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17th international conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2021, in conjunction with the 14th international conference on Frontiers of Information Technology, Applications and Tools, FITAT 2021

17th International Conference on Intelligent Information Hid...

引用

17th international conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2021, in conjunction with the 14th international conference on Frontiers of Information Technology, Applications and Tools, FITAT 2021

ISBN: (纸本)9789811910562

the proceedings contain 64 papers. the special focus in this conference is on Intelligent Information Hiding and Multimedia Signal Processing. the topics include: An Expressway Congestion Detection Algorithm Based on ETC Data Mining;A New PPE Algorithm Based on Parallel communication Strategy;design and Optimization of Electric Vehicle Seat;design and Fault Research of Relay Protection for Shore Power;applying Image Processing Technology to Estimate Vehicle Speed;K-PPE: A Variant Phasmatodea Population Evolution Algorithm for Global Optimization;five Phases Algorithm for Global Optimization;an Image Encryption Method Based on Logistic Mapping and Phasmatodea Population Evolution Algorithm;video Surveillance System of Substation Based on AdaBoost Pedestrian Anti-misjudgment Algorithm;transformer Fault Identification Method Based on Improved Roberts Algorithm;Expressway Traffic Speed Prediction Method Based on CNN_Bi-LSTM Model via ETC Data;How Consumers’ Lending Knowledge and Self-efficacy Drive their Intention: A Model of TAM Within Information Asymmetric Condition;occluded and Tiny Face Detection with Deep and Shallow Features Fusion and Compensation;simulation and Analysis of Steering Mechanical Characteristics Between Tire and Soil;Study on the Method of Adversarial Example Attack Based on MI-FGSM;virtual Design of Chinese theater Arts in Augmented Reality Media System;design Analysis and Optimization of the Anti-collision Structure of the Four-Wheel Electric Scooter;binary Fish Migration Optimization for Feature Selection Using Time-Varying Transfer Function;ResRnnNet: Learning to Reconstruct the 3D Room Layout from a Single RGB Panorama;design and Optimization of Spring in Damping System of New Energy Electric Vehicle;small Object Detection Based on Multi-source Data Learning Fusion Network;preface.

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Cyberattacks and Solutions for Future Factories

Cyberattacks and Solutions for Future Factories

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international conference on Computational Intelligence and communication networks (CICN)

作者： Linah Khamis Aljaryan Wasan Hussein Alfalahi thamer Saleh Al Khamis Computer Science Departmen Prince Mohammad Bin Fahd University Al khobar The Kingdom of Saudi Arabia Computer Engineering Department Prince Mohammad Bin Fahd University Al khobar The Kingdom of Saudi Arabia Electrical Engineering Department Prince Mohammad Bin Fahd University Al khobar The Kingdom of Saudi Arabia

ISBN: (纸本)9781665487726

this paper discusses the major technologies used in modern factories and highlights some important types of cyberattacks. Industrial espionage and information theft are the most common cyberattacks because of the digitalization of industrial processes. Some of the solutions used are also discussed for the security issues in future factories. the paper mentioned the importance of data security and the steps to achieve it in modern factories. It is worth noting the Corona crisis (Covid-19) and its impact on life in all respects, and certainly had an impact on modern factories, and during this period modern factories were exposed to many cyber-attacks. the last thing focused on in this paper is the cybersecurity challenges of large industrial IoT systems.

关键词： Point-to-multipoint communications 5G mobile communication Data security Passwords Organizations Production facilities Topology

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the Missing Data Imputation Method for Medical Data Classification Using Most Probable Value

The Missing Data Imputation Method for Medical Data Classifi...

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international conference on communication systems and Network Technologies (CSNT)

作者： Balasaheb Tarle Vaishali Tidake Rupali Tajanpure Ratnesh Litoriya Department of Computer Engineering MVP Samaj's KBTCOE Nashik India Department of Computer Science and Engineering Medi-Caps University Indore India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

In medical data classification, improving the performance of classification is essential when the dataset's size is small, and some attributes' values need to be included. Classification performance can suffer if the training dataset starts with insufficient data samples. the challenges like overfitting, high variance, inability to find real performance of model, biased models, sensitivity to noise, improper evaluation occurs with small dataset. the proposed algorithm uses domain-based multiple imputations to create additional data tuples and appends these tuples to the originally available training data. this improves the classification power of the classifier. this proposed technique uses a set of domain values to impute missing attribute values. the accuracy of imputed tuples is verified using classifier filters. the proposed technique significantly improves the classification performance of the classifier. this technique is suitable for small to medium-sized data sets. Data imputation helps develop improved and more accurate classifiers. the proposed approach offers improved classification performance. the proposed method achieves a 4.01% improvement in the classification accuracy of fuzzy neural network FBNFC. We performed two hypothesis tests, the t-test, and the Wilcoxon rank sum test. It is observed that the alternative hypothesis is true.

关键词： Training Accuracy Filters Sensitivity communication systems Noise Training data Fuzzy neural networks Imputation Overfitting

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IoTZeroJar: Towards a Honeypot Architecture for Detection of Zero-Day Attacks in IoT

IoTZeroJar: Towards a Honeypot Architecture for Detection of...

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international conference on Computational Intelligence and communication networks (CICN)

作者： Mahmoud Ellouh Mustafa Ghaleb Muhamad Felemban Interdisciplinary Research Center for Intelligent Secure System KFUPM Saudi Arabia Computer Engineering Department Interdisciplinary Research Center for Intelligent Secure System KFUPM Saudi Arabia

ISBN: (纸本)9781665487726

IoT enables the communication of electronic devices and sensors with the Internet using standard protocols to achieve autonomy, robustness, and reliable data exchange among devices and real applications. the wide variety of IoT devices has led to raising concerns about the security of interconnected devices. IoT manufacturers have been increasing recently, which has resulted in building IoT devices with different standards, protocols, features, and technologies. However, the lack of implementation of security features for IoT devices has led the IoT devices to be susceptible to attacks and targeted by adversaries. In order to provide an efficient honeypot-based solution, it should benefit from the malicious traffic in the filtering phase to detect zero-day attacks. In this paper, we propose IoTZeroJar, a honeypot system to detect the attacker's malicious activities and analyze zero-day attacks.

关键词： Protocols Filtering Computer architecture Machine learning Robustness Real-time systems Sensors

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Advanced Fault Sleuth System Architectures for Prognostic Anomaly Detection and Autonomous Irregularity Mitigation in Intelligent Power networks

Advanced Fault Sleuth System Architectures for Prognostic An...

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international conference on communication systems and Network Technologies (CSNT)

作者： Biresh Kumar Arpit Anurag Sanyam Anand Ritesh Kumar Kamaldeep Gupta Binod Kumar Sharma Amity Inst. of Information Technology Amity University Ranchi Jharkhand India Cambridge Institute Of Technology Tatisilwai Ranchi Jharkhand India St. Xavier’s College Ranchi Jharkhand India Dept. of Computer Sci. & Engg. BIT Mesra Ranchi Jharkhand India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Revenue losses, inconsistent service, delayed problem detection, and electricity theft are just a few of the major issues that power distribution networks deal with. the suggested Fault Sleuth System makes use of Internet of things (IoT) technologies to facilitate remote system control, automatic anomaly detection, and real-time electrical parameter monitoring. the technology guarantees accurate fault localization and proactive theft prevention by combining sophisticated data analytics and feature extraction techniques. the technology greatly lowers maintenance costs and security threats while improving operating efficiency through thorough data collecting, preprocessing, and intelligent analysis. In addition to improving problem detection and theft mitigation, this strategy also raises customer happiness, power quality, and service reliability. the study's conclusions show how the Fault Sleuth System can revolutionize the way that important power distribution issues are handled. this technology opens the door for a more robust, safe, and effective energy infrastructure that can satisfy needs in the future by leveraging real-time analytics and state-of-the-art IoT technologies.

关键词： Accuracy Prevention and mitigation Fault detection Power distribution Real-time systems Smart grids Internet of things Security Predictive analytics Anomaly detection

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Computer Animation Interaction Design Driven by Neural Network Algorithm

Computer Animation Interaction Design Driven by Neural Netwo...

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international conference on communication systems and Network Technologies (CSNT)

作者： Yong Zhang Academy of Fine Arts Huaiyin Normal University Huaian China

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Computer animation interaction design in traditional research has a single user experience and cannot adapt to personalized needs due to problems such as disconnection between animation and user interaction, insufficient intelligent recognition ability, and poor real-time response. this article uses a design method driven by a neural network algorithm to achieve a deep integration of animation and interaction, and improve the naturalness, fluency and real-time performance of animation. In the study, GAN (Generative Adversarial Network) is used to generate natural and smooth animation movements, and CNN (Convolutional Neural Network) is used to analyze users’ facial expressions and voices. LSTM (Long Short-Term Memory) is used to process users’ time series data; RNN (Recurrent Neural Network) is responsible for real-time analysis of users’ dynamic input and generating instant animation feedback; TCN (Temporal Convolutional Network) optimizes the system’s real-time feedback mechanism and improves the response accuracy and speed to continuous input. Compared with the FSM (Finite State Machine) and BT (Behavior Tree) methods, the maximum response time of this method is 0.174s; the DTW (Dynamic Time Warping) distance value is between 0.136 and 0.402; the maximum Euclidean distance is 0.416. Experimental results show that through the combination of these algorithms, the system can generate personalized animation feedback according to the user’s real-time input, emotional state and behavioral characteristics, significantly improving the naturalness, fluency, real-time and personalized response capabilities of the animation, and providing a more intelligent, natural and immersive interactive experience.

关键词： Recurrent neural networks Design methodology Working environment noise Time series analysis Animation Generative adversarial networks Real-time systems User experience Convolutional neural networks Long short term memory

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Subnetworks Under Attack: A Comprehensive Look at Security Risks in Future 6G networks

Subnetworks Under Attack: A Comprehensive Look at Security R...

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international ITG conference on Source and Channel Coding (SCC)

作者： Marc Hafner Tobias Jung Sachinkumar B. Mallikarjun Ítalo Brasileiro Abdullah Ahmad Vedhas Pandit Christian Zenger Norman Franchi Hans D. Schotten Admela Jukan Ruhr University Bochum Advancing Individual Networks GmbH University of Kaiserslautern (RPTU) Germany Technische Universität Braunschweig PHYSEC GmbH Friedrich-Alexander-Universität Erlangen-Nürnberg

ISBN: (数字)9798331522896

ISBN: (纸本)9798331522902

Future 6G architectures are expected to evolve towards autonomous network entities that facilitate use-casecentric services, thus forming dynamic subnetworks within a singular large 6G network. Although this evolution enables breakthrough applications in autonomous vehicles, public safety, and immersive virtual reality, it introduces novel security challenges that require systematic analysis and mitigation strategies. this study employs the STRIDE methodology to examine security vulnerabilities in public safety 6G subnetworks and proposes practical countermeasures to enhance network resilience. Our analysis also identifies critical security requirements for maintaining network integrity across interconnected subnetworks. the findings of this study are expected to contribute to the ongoing development of secure 6G network architectures, providing novel directions for future research in distributed network security.

关键词： 6G mobile communication Wireless communication Systematics Virtual reality Public security threat assessment Zero Trust Security Vehicle dynamics Resilience

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loT-based Red Palm Weevil Early Detection and Tracking System

loT-based Red Palm Weevil Early Detection and Tracking Syste...

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international conference on Computational Intelligence and communication networks (CICN)

作者： Razan Alzaben Shuruq Fallatah Haneen Quraishi Sadiq Alhuwaidi Ahmed Abul Hussain Department of Electrical Engineering Prince Mohammad bin Fahd University Al Khobar Kingdom of Saudi Arabia

ISBN: (纸本)9781665487726

As one of the nations that produce and supply dates, the Kingdom of Saudi Arabia has long been interested in the date palm, its cultivation, and the support of farmers, making it a significant economic component. One of the most devastating problems for these palms is the red palm weevil, as it lives inside the trunk of the palm for a duration of six to eight months. An integrated smart system is designed to diagnose the existence of the red palm weevil. Such a system determines if the palm is infected or not in the early stages, which makes the problem easier to deal with and allows the progression of the healing process. the integrated work: (1) is an environmentally friendly system based on solar energy (2) monitors the condition of the palm and the possibility of injury remotely for each area (3) tracks and catches the palm weevils for each area, and (4) alerts the user if weevils are present. the user can know the condition of all palms and know the possibility of the presence of weevils using a set of sensors. the data are accessed remotely from the communication systems developed via algorithms.

关键词： Economics Solar energy communication networks Monitoring Intelligent sensors Injuries Computational intelligence

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the Role of Artificial Intelligence Algorithms in Personalized Design of Visual communication

The Role of Artificial Intelligence Algorithms in Personaliz...

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international conference on communication systems and Network Technologies (CSNT)

作者： Hongbo Sun Visual Communication Design Changchun Humanities College Changchun China

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Based on the problems of insufficient design innovation and low design efficiency in personalized visual communication design, this study uses the style transfer algorithm to apply a specific artistic style to the design and automatically generates visual elements with personalized characteristics. At the same time, Generative Adversarial networks (GAN) are used to create new patterns and color combinations and enhance the diversity of design, while ChatGPT is used to parse user needs and transform text descriptions into design concepts. In the process of implementing these methods, this paper collects and analyzes user data to build user portraits to understand their preferences and needs. this paper also uses a style transfer algorithm to combine user-favorite elements with design templates to generate preliminary design sketches. then GAN intervenes to generate new design elements and uses these elements to enrich and refine the design content. During the design process, the artificial intelligence model is continuously optimized based on user feedback to ensure that the final output design not only meets the user's personalized needs but is also highly innovative and attractive. Ultimately, these individually adjusted designs are output in an appropriate format for application in actual products or services. Based on comparative experiments, this paper found that personalized design is superior to traditional design methods in multiple key indicators: the average innovation score of personalized design is as high as 9.06, higher than the 6.89 of traditional design; the time required for personalized design is mainly concentrated between 20 and 30 minutes, while the time required for traditional design ranges from 30 to nearly 50 minutes and fluctuates greatly; the adoption rate of personalized design reaches a minimum of 90.2% and a maximum of 99.9%, while the adoption rate of traditional design is lower, with a minimum of only 75.2% and a maximum of only 88.7%.

关键词： Industries Technological innovation Visualization Visual communication Image color analysis Transforms Generative adversarial networks User experience Global communication Artificial intelligence

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Construction of Medical Big Data Processing and Service Framework for Digital Intelligent Transformation

Construction of Medical Big Data Processing and Service Fram...

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international conference on Computational Intelligence and communication networks (CICN)

作者： Chuanyang Zhang Yufei Pang Yu Guo School of Business and Management Jilin University Changchun CHINA

ISBN: (纸本)9781665487726

From the perspective of medical big data utilization, analyze the current situation of China's medical informatization development, build a medical big data processing and service framework for digital and intelligent transformation, and provide new ideas and methods for medical informatization and intelligent medical development. Based on information life cycle management theory, combined with a large number of literature research, a medical big data processing and service framework is constructed. the framework discusses the functions of the original data module, data collection module and integrated system module, and further expounds the content and application of digital intelligent medical services.

关键词： Industries Layout Medical services Big Data User experience Digital intelligence communication networks

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