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

Specific Emitter Identification with Principal Component Analysis (PCA) Dimensionality Reduction and Convolutional Neural Network 基于主成分降维和卷积神经网络的特定发射器识别

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215809

G. Baldini, Fausto Bonavitacola

{"title":"Specific Emitter Identification with Principal Component Analysis (PCA) Dimensionality Reduction and Convolutional Neural Network","authors":"G. Baldini, Fausto Bonavitacola","doi":"10.1109/SmartNets58706.2023.10215809","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215809","url":null,"abstract":"The capability to identify and authenticate electronic devices through their physical intrinsic features has received considerable attention by the research community in recent years. This capability has been called in literature Specific emitter identification, radiometric identification or RF-DNA as a conceptual link to the physical identification of human being through the DNA. As in other fields of wireless communication, deep learning has been applied to implement such capability, where it has proven an excellent performance at the cost of the need of significant computing resources and time. To address the latter problem, this paper proposes a set of pre-processing steps based on time series segmentation, feature extraction and Principal Component Analysis (PCA) to reduce the data dimension given as an input to a Convolutional Neural Network (CNN) for classification. The proposed approach is able not only to reduce significantly the overall classification time, but it is also able to improve the classification accuracy in presence of noise in comparison to the baseline case where all the data is used.","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":"127289013","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

Location Aware Fog Computing Based Air Quality Monitoring System 基于位置感知雾计算的空气质量监测系统

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215888

Kemal Cagri Serdaroglu, S. Baydere, Boonyarith Saovapakhiran, C. Charnsripinyo

引用次数: 1

Dynamic MAC Scheduling in O-RAN using Federated Deep Reinforcement Learning 基于联邦深度强化学习的O-RAN动态MAC调度

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216125

Halil Arslan, Selim Yılmaz, Sevil Şen

{"title":"Dynamic MAC Scheduling in O-RAN using Federated Deep Reinforcement Learning","authors":"Halil Arslan, Selim Yılmaz, Sevil Şen","doi":"10.1109/SmartNets58706.2023.10216125","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216125","url":null,"abstract":"Base station deployment costs pose a significant challenge for operators, especially in regions without 5G infrastructure. Sharing radio access networks (RANs) has emerged as a promising solution since it enables operators to lower installation costs by sharing redundant and available resources. Open-RAN (O-RAN) is a new RAN framework that aims for intelligence and openness in hardware and software RAN sharing with the help of virtualization technology and disaggregated architecture of RANs. Multiple operators could coexist together and their virtualized RAN components can be deployed on each other’s computing resources. In this disaggregated architecture, MAC scheduler fundamentally governs resource allocation to users associated with a base station and resides in RAN’s distributed unit (DU) that can be virtualized and deployed on O-RAN. Traditionally, MAC scheduling is handled by static methods that makes its adaptation to dynamic environments challenging. While Deep Reinforcement Learning (DRL) offers a promising solution to MAC scheduling; but, a global network view is necessary for adapting new traffic patterns. However, information sharing between operators compromise privacy and competition between operators. Therefore, in this study, we explore the use of Federated learning-based DRL (FDRL) for MAC scheduling in RAN sharing in O-RAN.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"1 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":"129733709","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

Smart City Traffic Monitoring:YOLOv7 Transfer Learning Approach for Real-Time Vehicle Detection 智慧城市交通监控:YOLOv7实时车辆检测迁移学习方法

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216009

Zahra Esfandiari Baiat, S. Baydere

{"title":"Smart City Traffic Monitoring:YOLOv7 Transfer Learning Approach for Real-Time Vehicle Detection","authors":"Zahra Esfandiari Baiat, S. Baydere","doi":"10.1109/SmartNets58706.2023.10216009","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216009","url":null,"abstract":"Real-time vehicle detection is a critical component of traffic monitoring, with significant implications for smart city applications. Accurate and efficient detection of vehicles can improve traffic flow and reduce congestion. This paper presents a real-time vehicle detection system based on Deep Learning (DL) techniques, using the YOLOv7 object detection framework. The system was trained on a novel dataset with a diverse range of vehicles, including different sizes, orientations, and lighting conditions, to improve object detection accuracy. To reduce the required training time and computing resources, Transfer learning is utilized to fine-tune two variants of YOLOv7, YOLOv7-x and YOLOv7-tiny. The results of the experiment revealed that the YOLOv7-x achieved a mean Average Precision (mAP) rate of 96.7%, while the YOLOv7-tiny achieved 89.3%. Furthermore, when the models were fed with a video stream, the YOLOv7-tiny achieved 57 Frames Per Second (FPS), whereas the YOLOv7-x achieved 27 FPS. As a result, the YOLOv7-tiny is more suitable for resource-constrained devices, such as those frequently utilized in IoT applications, due to its smaller model size, lower computational requirements, and higher FPS rate with acceptable accuracy. On the other hand, if higher accuracy is the priority, the YOLOv7-x model should be considered. The proposed frameworks help to improve the effectiveness of traffic management systems, leading to more efficient and sustainable transportation in smart cities.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"701 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":"123832480","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

Cybersecurity in Fitness Devices-A Systematic Literature Review 健身器材中的网络安全——系统文献综述

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215903

Tasneem Durid, Derar Eleyan, A. Eleyan, T. Bejaoui, M. Jazzar

{"title":"Cybersecurity in Fitness Devices-A Systematic Literature Review","authors":"Tasneem Durid, Derar Eleyan, A. Eleyan, T. Bejaoui, M. Jazzar","doi":"10.1109/SmartNets58706.2023.10215903","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215903","url":null,"abstract":"Wearable devices are becoming increasingly popular, with users adopting them for a wide range of purposes. For example, fitness equipment can now perform new functions such as shopping or purchasing train tickets using contactless payments. Furthermore, fitness trackers gather a variety of personal data, including body temperature, pulse rate, eating habits, body weight, steps, distance travelled, calories burned, and sleep stage. Although these devices can be helpful to customers, more and more publications are warning about the cybersecurity threats they pose and the potential for them to be hijacked and used as launching grounds for other systems. Furthermore, because of their wireless broadcasts, these devices might be vulnerable to a malicious attack, exposing the data they gather. In addition, these devices are vulnerable due to a lack of authentication, Bluetooth connection difficulties, location monitoring, and third-party vulnerabilities. The purpose of this article is to offer consumers cybersecurity recommendations so that they may take precautions when using fitness devices.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"50 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":"114554631","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

Machine Learning-Based Topology Optimization in 3D Printing 3D打印中基于机器学习的拓扑优化

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216161

Almira Askhatova, Yerlik Gabdulla, Amanali Bekbolat, E. Shehab, Md. Hazrat Ali

{"title":"Machine Learning-Based Topology Optimization in 3D Printing","authors":"Almira Askhatova, Yerlik Gabdulla, Amanali Bekbolat, E. Shehab, Md. Hazrat Ali","doi":"10.1109/SmartNets58706.2023.10216161","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216161","url":null,"abstract":"The extremely lengthy computational times, coupled with the impracticality of the Finite Element Method (FEM)-based simulations, created a strong demand to accelerate the procedures of topology optimization involved in product development. This paper proposes a solution in the form of a deep Convolutional Neural Network (CNN) designed for 3D structural topology optimization, which predicts a structurein a relatively short amount of time without employing any iterative strategy. The methodology was created to empower users to incorporate a machine-learning approach to topology optimization in their designs while enabling the non-iterative strategy and increasing the efficiency of the process. The proposed approach is anticipated to significantly reduce computational time while improving the printed component’sstructural performance and design quality. This study offers a new perspective on topology optimization in 3D printing andhighlights the potential of machine learning in advancing theefficiency and precision of this process. The outcomes of this study illustrate that the proposed model possesses the capacity to conduct topology optimization of the cantilever beam structureat a significantly accelerated pace, as compared to specialized software showing a reduction in computation time, amounting to approximately 99%. These results hold promising implications for the time-critical engineering and optimization processes.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"161 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":"124508750","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

‘Robpha’: A Robotic-Based Pharmacy for a Smart Hospital “Robpha”:智能医院的机器人药房

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215519

Lamya Almansoori, Fatima Almusabi, Meera Alharbi, Ahmed Shuhaiber, Mohammad Tubishat

{"title":"‘Robpha’: A Robotic-Based Pharmacy for a Smart Hospital","authors":"Lamya Almansoori, Fatima Almusabi, Meera Alharbi, Ahmed Shuhaiber, Mohammad Tubishat","doi":"10.1109/SmartNets58706.2023.10215519","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215519","url":null,"abstract":"When patients are prescribed medicines by their doctors, they collect their prescriptions from the pharmacies. However, there is an ongoing, widespread problem where waiting for medicine takes too long, so some people get tired of waiting and leaving. This problem is common in many countries worldwide. In order to combat this problem, ‘Robpha’ has created machines that are able to cut the waiting time considerably shorter and make obtaining patients’ medicines a much easier and faster process. The methodologies that were used for these products were the I-teams challenge and design thinking. The products are machines that are used to speed up the process of getting medicine. It readies the prescribed medicine once the doctor prescribes it in the system, and the patients can receive it once they reach the pharmacy without waiting too long. Moreover, the hand collector machine can select an alternate, similar medicine to replace a medicine that is not available, and a robot collects the products and gathers them into the machine box. Furthermore, the machine box makes paying for and receiving medicine and a doctor’s note easier. The study concluded with some recommendations for further research and development.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"81 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":"126410178","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

Li-IDS: An Approach Towards a Lightweight IDS for Resource-Constrained IoT Li-IDS:面向资源受限物联网的轻量级IDS方法

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10216096

Mahawish Fatima, O. Rehman, Ibrahim M.H Rehman

{"title":"Li-IDS: An Approach Towards a Lightweight IDS for Resource-Constrained IoT","authors":"Mahawish Fatima, O. Rehman, Ibrahim M.H Rehman","doi":"10.1109/SmartNets58706.2023.10216096","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10216096","url":null,"abstract":"The widespread adoption of smart devices and increasing reliance within domestic users as well as business personnel in diversified application domains such as Healthcare, automation, information sharing, etc., have also posed a significant concern on the security of such devices/networks. The data generated by & typical resource-constrained nature of IoT devices also attract malicious adversaries to launch sophisticated DoS/DDoS attacks that consequently overwhelm the targeted device/network. The situation demands a lightweight IDS optimized for resource consumption while being effective in identifying traditional as well as novel attacks. This paper presents a lightweight Intrusion Detection System (Li-IDS) based on filter selection for IoT environments. The model first conducts a preliminary search to rank each feature, utilizing SelectKBest with a chi-square feature selection approach. Thereafter, to build a list of the most appropriate features, the highest-ranked features are one by one applied to train and evaluate the Machine Learning (ML) models. The model is evaluated on the TON-IoT dataset using six distinct ML models. The evaluation metrics including accuracy, FNR, FPR, training and testing time as well as CPU, and memory usage reveal that the proposed approach is lightweight, adaptive, and efficient enough to be deployed in resource-limited IoT systems.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"46 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":"133996574","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 the Demilitarized Zone Implementation in Java Madura Bali Electrical Systems to Increase the Level of IT/OT Cyber Security With the Dual DMZ Firewall Architecture Method Java Madura Bali电气系统中非军事区实施分析，利用双DMZ防火墙架构方法提高IT/OT网络安全水平

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215960

Agus Harya Maulana, I. G. P. A. Suyasa, Erwan Kurniawan

{"title":"Analysis of the Demilitarized Zone Implementation in Java Madura Bali Electrical Systems to Increase the Level of IT/OT Cyber Security With the Dual DMZ Firewall Architecture Method","authors":"Agus Harya Maulana, I. G. P. A. Suyasa, Erwan Kurniawan","doi":"10.1109/SmartNets58706.2023.10215960","DOIUrl":"https://doi.org/10.1109/SmartNets58706.2023.10215960","url":null,"abstract":"Information Technology (IT) and Operational Technology (OT) are important parts of the electricity utility. SCADA is an example of an OT that must be managed by a utility so that the electricity system runs properly. The electricity utility must guarantee the availability and reliability of the electricity supplied, including IT and OT systems. This system must be equipped with appropriate cyber security methods in order for IT and OT to remain reliable. Based on previous research, it is necessary to apply a method to separate IT, OT, and public area networks. One method that has been applied before is the Demilitarized Zone (DMZ) method, which aims to separate the OT network from the IT network. DMZ development can be in the form of a Dual Firewall DMZ, with the use of front-end and back-end firewalls. To improve this aspect of cyber security, Indonesian electricity utilities apply a more advanced method called Dual DMZ Firewall Architecture Method. Dual DMZ functions to separate between IT and OT networks and between IT and Wide Area Network (WAN). Based on the test results, the implementation of Dual DMZ can guarantee a more reliable level of IT and OT security that supports electricity systems in Indonesia. Implementation of dual DMZ can reduce high severity threats up to 99.98%, vulnerabilities up to 99,98% and spyware up to 100%. Dual DMZ implementation also reduces fraud and exploit kit threats up to 100% and code execution up to 99.98%.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"94 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":"134210963","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

Tweet recommendation using Clustered Bert and Word2vec Models 使用聚类Bert和Word2vec模型的Tweet推荐

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI: 10.1109/SmartNets58706.2023.10215867

Surbhi Kakar, Deepali Dhaka, Monica Mehrotra

引用次数: 0