2023 International Conference on Smart Applications, Communications and Networking (SmartNets)最新文献_第6页

An Elliptical Folded Dipole With Directive Radiation for UWB Applications 用于超宽带定向辐射的椭圆折叠偶极子

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216045

Romain Greard, M. Himdi, D. Lemur, G. L. Dem, Pierre Thaly, Cyrille Le Meins

引用次数: 0

A Machine Learning Framework & Development for Insider Cyber-crime Threats Detection 内部网络犯罪威胁检测的机器学习框架与开发

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215718

Rasheed Yousef, M. Jazzar, A. Eleyan, T. Bejaoui

{"title":"A Machine Learning Framework & Development for Insider Cyber-crime Threats Detection","authors":"Rasheed Yousef, M. Jazzar, A. Eleyan, T. Bejaoui","doi":"10.1109/SmartNets58706.2023.10215718","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215718","url":null,"abstract":"Many organizations face a significant challenge with insider threats. As conventional security measures like intrusion detection systems and firewalls aren't always effective in detecting and preventing such threats. Insider threats often come from trusted individuals who possess knowledge of and access to important organizational assets. This work explores the use of machine learning to classify insider threat behaviors, specifically focusing on three approaches such that supervised, unsupervised, and reinforcement learning. The paper describes the development of an unsupervised machine learning system that analyzes data from multiple technical sources to detect malicious insider activity. The system, which is designed to be simple and easy to assemble, was tested with existing machine learning algorithms and showed moderate success in detecting malicious insider activity during the training phase and negligible success during the testing phase.These results suggest that while machine learning can be a useful tool for detecting insider threats, it should not be solely relied upon for threat detection. To improve the current system's performance, it is necessary to include additional features, such as file names, email subjects and headers, and website types. Furthermore, physical security, cybersecurity, psychological, and organizational factors must be considered when addressing insider threats. Future research should focus on acquiring real datasets, collecting insider threat scenarios and use cases, and testing different machine learning approaches from both technical and non-technical sources.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122790936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SmartNets 2023 Author Index SmartNets 2023作者索引

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/smartnets58706.2023.10215864

引用次数: 0

Prisma Analysis of Innovative Technologies on Advancement of Optimisation of Manufacturing Industry 创新技术对制造业优化推进的棱镜分析

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215876

N. Mulongo, Mahtlatse Matlala, K. Mushavhanamadi

{"title":"Prisma Analysis of Innovative Technologies on Advancement of Optimisation of Manufacturing Industry","authors":"N. Mulongo, Mahtlatse Matlala, K. Mushavhanamadi","doi":"10.1109/SmartNets58706.2023.10215876","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215876","url":null,"abstract":"The swift advancement of modern innovation has created a significant change within various sectors, particularly in manufacturing industry. Consequently, several companies have started to investigate for innovative administrative configuration and policy in order to implement artificial intelligence technologies into their production routes. Hence, the tool such as, the Computer Aided Manufacturing is considered as a key player in optimizing the manufacturing industry and mostly in the change to smart manufacturing. The advent of industry 4.0 has resulted in novel business patterns, which are more and more adopted in the manufacturing sector. To this end, the present research paper sought to use the Prisma approach to critically review the existing literature in the field of artificial intelligence to demonstrates and outlines its key role on the advancement and optimising the production processes of goods within the manufacturing industry. The review process demonstrates that the advent of artificial intelligence has the ability to significantly improve the productivity, flexibility, and efficiency whilst enabling smart decision-making of the operations related to supply chain. The study sought to offer a clear idea for company and organization that wishes to provide a roadmap for digitizing the various manufacturing operations and techniques. It is also expected that by presenting this review, both academics and industrial practitioners will gain access to a hands-on library of information on impact of new technology and Artificial Intelligence. In assuring the credibility of the Prisma approach, each search term or keyword was separately examined.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"125 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123305551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Machine Learning Algorithms for Cyber Attack Detection in SCADA Power Systems SCADA电力系统网络攻击检测的机器学习算法分析

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216147

Mitchell Timken, Onat Güngör, T. Simunic, Baris Aksanli

引用次数: 0

SmartNets 2023 Cover Page SmartNets 2023封面

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/smartnets58706.2023.10215934

引用次数: 0

Harnessing 5G Networks for Enhanced Precision Agriculture: Challenges and potential Solutions 利用5G网络增强精准农业:挑战和潜在解决方案

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215761

Muhammad Anas Khan, A. Khan, Mohammed A. Abuibaid, Jun Steed Huang

引用次数: 0

Discrete wavelet transform-based denoising method for real electrocardiogram 基于离散小波变换的真实心电图去噪方法

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216255

Nacèra Meziane, Dalila Meziane, M. Bouzid

{"title":"Discrete wavelet transform-based denoising method for real electrocardiogram","authors":"Nacèra Meziane, Dalila Meziane, M. Bouzid","doi":"10.1109/SmartNets58706.2023.10216255","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216255","url":null,"abstract":"The electrocardiogram (ECG) is part of multi-component non-stationary signals. In the past, the ECG signal was studied in time or frequency domain independently. For that, the wavelet transform has been increasingly considered as a stronger time-frequency analysis and coding tool for those signals that might be contaminated by well known interferences such us the 50/60 Hz power line interference, the movement of electrodes and the breathing signal. In this work, we developed a Discrete Wavelet Transform (DWT)-based algorithm to denoise the ECG signals from the different aforementioned interferences. Then, we graphically investigate the different components of the ECG waves presented by their spectrograms, time-frequency images and scalograms. The developed tools are applied on both clean and contaminated ECG signals acquired from an ECG acquisition system, we have parallely designed. The experimental results show firstly the performance of our denoising algorithm to totally remove almost kind of interferences. Secondly, the graphical analysis of the ECG signals has given a new interpretation different from that known in time or frequency analysis separately.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128554779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Blockchain Based Decentralized Data Management Model for Swarm UAV Systems 一种基于区块链的集群无人机系统分散数据管理模型

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215853

Gökberk Açıkgöz, F. Y. Okay, S. Özdemir

{"title":"A Novel Blockchain Based Decentralized Data Management Model for Swarm UAV Systems","authors":"Gökberk Açıkgöz, F. Y. Okay, S. Özdemir","doi":"10.1109/SmartNets58706.2023.10215853","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215853","url":null,"abstract":"Blockchain technology offers a promising solution for decentralized data sharing and communication among IoT devices. The decentralization aspect of blockchain technology has made it a popular topic for integration with IoT systems, including UAVs. Therefore, the use of blockchain technology in UAV systems has led to the growing interest of researchers, particularly in swarm UAV systems, where decentralization is crucial for ensuring safety and continuity. This study proposes a new data management model that integrates blockchain technology into UAV systems, with a particular focus on swarm UAV systems. By leveraging the decentralized structure of blockchain, the proposed system offers robustness against tampering and irreversibility, ensuring secure data transfer between UAVs and decentralized processing. Especially for mission plan and command upload operations, blockchain enables the distribution of critical information to all UAVs in the system. A use case scenario is also presented to demonstrate the effectiveness of the proposed model in controlling and managing real-world problems.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PESS: Progress Enhancing Student Support PESS:进步加强学生支持

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216155

N. Madathil, Winner Abula, Shooq Alaboolan, Maryam Almadhaani, S. Alrabaee

引用次数: 0