IET Smart Cities最新文献_第5页

Design of Analysis System for Driving Behaviour at Bus Stops 公交车站驾驶行为分析系统的设计

IF 2.3

IET Smart Cities Pub Date : 2025-09-12 DOI: 10.1049/smc2.70013

Kuei-Jung Hung, Chia-Ming Tsai, Yun-Chu Tsai, Ya-Wen Hsu, Chiao-Sheng Wang, Chia-Yun Li, Jau-Woei Perng

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-09-12

引用次数: 0

Enhancing Smart City Security: An Intrusion Detection System Using Machine Learning Methods With the UNB CIC IoT 2023 Dataset 增强智慧城市安全：基于UNB CIC物联网2023数据集的机器学习入侵检测系统

IF 2.3

IET Smart Cities Pub Date : 2025-09-10 DOI: 10.1049/smc2.70014

Mehdi Houichi, Faouzi Jaidi, Adel Bouhoula

{"title":"Enhancing Smart City Security: An Intrusion Detection System Using Machine Learning Methods With the UNB CIC IoT 2023 Dataset","authors":"Mehdi Houichi, Faouzi Jaidi, Adel Bouhoula","doi":"10.1049/smc2.70014","DOIUrl":"10.1049/smc2.70014","url":null,"abstract":"Smart cities, characterised by their extensive use of IoT devices, aim to enhance urban living through improved efficiency, sustainability and quality of life. However, the widespread integration of IoT technology introduces significant cybersecurity challenges, including vulnerabilities to cyberattacks, data breaches and infrastructure resilience issues. Addressing these challenges is critical to realising the full potential of smart city initiatives. Intrusion detection systems (IDS) play a vital role in safeguarding smart city environments. Numerous studies have explored various IDS methodologies, yet the dynamic and complex nature of smart city IoT networks demands continuous advancements. In this article, we present a novel IDS approach that leverages machine learning techniques to enhance the detection and prevention of cyber threats in smart cities. Utilising the UNB CIC IoT 2023 Dataset, we develop and evaluate multiple models, including Random Forest Classifier, Decision Tree Classifier, KNN and AdaBoost. Our proposed IDS framework emphasises real-time threat detection ensuring both low latency and high accuracy. Through comprehensive data preprocessing and rigorous model training, our system demonstrates exceptional performance in identifying and neutralising cyber threats. The findings from this research reveal significant improvements in the security and privacy of smart city IoT infrastructures highlighting the effectiveness of integrating advanced AI methodologies.","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-09-10

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-08-30

引用次数: 0

Ethical Risk Traceability in Smart City KPIs Assessment 智慧城市kpi评估中的道德风险可追溯性

IF 2.3

IET Smart Cities Pub Date : 2025-08-30 DOI: 10.1049/smc2.70012

Martina De Sanctis, Ludovico Iovino, Maria Teresa Rossi

{"title":"Ethical Risk Traceability in Smart City KPIs Assessment","authors":"Martina De Sanctis, Ludovico Iovino, Maria Teresa Rossi","doi":"10.1049/smc2.70012","DOIUrl":"10.1049/smc2.70012","url":null,"abstract":"The interest in smart city initiatives is continuously growing, and so is the interest in measuring their smartness and sustainability. The value of a Smart City is proved by comparing its results with sustainability goals and by measuring the benefits delivered to stakeholders, citizens and city authorities. For this reason, supporting the monitoring and evolution of smart cities is a challenging and crucial task. This can be accomplished by using key performance indicators (KPIs), which, in turn, inform the decision-making processes of smart city governance. However, ethical implications in KPIs evaluation may be hidden within the measurement process. For example, low trustworthiness of data sources used to collect KPIs input parameters can affect evaluation results without KPIs experts being aware of these implications. Ethical implications that could represent a perceived violation of an ethical value should be highlighted when KPIs results are proposed to stakeholders. In this paper, we have integrated an ethical risk traceability mechanism into MIKADO, a tool that we designed for assessing KPIs in smart cities. This mechanism involves both KPIs and ethics experts in the evaluation process, ensuring that the KPI assessment results—presented through dashboards obtained through code generation—include warnings about potential ethical issues. The extended framework has been evaluated by experts in the field during a dedicated focus group, who confirmed its usefulness in identifying ethical implications in the evaluation of smart city KPIs, with the aim of tracing ethical risks, and supporting ethics experts in carrying out this task.","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to ‘Sense (and) the City: From Internet of Things Sensors and Open Data Platforms to Urban Observatories’ 对“感知（和）城市：从物联网传感器和开放数据平台到城市观测站”的修正

IF 2.3

IET Smart Cities Pub Date : 2025-08-28 DOI: 10.1049/smc2.70011

引用次数: 0

Securing Smart City Ecosystems: A Taxonomy-Based Review of Emerging Technologies and Frameworks for Scalable Collaborative Services 保护智慧城市生态系统：基于分类学的新兴技术和可扩展协作服务框架综述

IF 2.3

IET Smart Cities Pub Date : 2025-08-08 DOI: 10.1049/smc2.70007

Usama Antuley, Sufian Hameed, Shahbaz Siddiqui, Syed Attique Shah

{"title":"Securing Smart City Ecosystems: A Taxonomy-Based Review of Emerging Technologies and Frameworks for Scalable Collaborative Services","authors":"Usama Antuley, Sufian Hameed, Shahbaz Siddiqui, Syed Attique Shah","doi":"10.1049/smc2.70007","DOIUrl":"10.1049/smc2.70007","url":null,"abstract":"The smart city concept integrates various collaborative services to enhance urban living. However, these services introduce significant security concerns, especially in authentication, authorisation, and access control (AAA). To address these security challenges, researchers must design and implement frameworks that safeguard data exchange between smart services. This paper offers a taxonomy-based review of current solutions, focusing on how emerging technologies like Blockchain, artificial intelligence (AI), quantum computing, and hybrid approaches address AAA concerns. We evaluate these technologies based on key factors such as confidentiality, integrity, availability (CIA), trust, privacy, and scalability. Through a systematic review of literature from 2017 to 2024, we classify and assess methods that strengthen authentication, optimise access control, and refine authorisation processes to mitigate risks in data sharing. A major contribution of this paper is the integration of case studies, demonstrating real-world applications of these technologies in smart city contexts. Additionally, we explore the applicability of these solutions, highlighting their challenges and future potential. This research also outlines future directions for building secure, efficient, and scalable smart city ecosystems, ultimately facilitating the development of adaptable frameworks for smart city services.","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-08-08

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-08-04

引用次数: 0