物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053492

C. Raj, W. R. Babu, V. Gomathi, S. Bharath, G. Jagatap, S. S. Kumar

引用次数: 0

Leveraging Deep Learning to Spot Communities for Influence Maximization in Social Networks 利用深度学习在社交网络中发现社区以实现影响力最大化

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053447

S. Mishra, Rajendra Kumar Dwivedi

引用次数: 0

An Investigation on Battery Management System for Autonomous Electric Vehicles 自动驾驶电动汽车电池管理系统研究

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053441

K. Thilak, S. Ashwinkarthik, M. Varatharaj, V. Muralidharan, M. Vinosh, Yayati Shinde

引用次数: 1

AI-Powered Mobility Educational Application for Enhancing Student Learning 促进学生学习的人工智能移动教育应用

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053423

Manicka Raja M, Mokesh Anand Kumar G, Sanchita T, S. A

{"title":"AI-Powered Mobility Educational Application for Enhancing Student Learning","authors":"Manicka Raja M, Mokesh Anand Kumar G, Sanchita T, S. A","doi":"10.1109/IDCIoT56793.2023.10053423","DOIUrl":"https://doi.org/10.1109/IDCIoT56793.2023.10053423","url":null,"abstract":"Artificial Intelligence is growing to be the future of today’s world. It builds a path for communicable applications and an easier understanding for the system and the user. By adopting the advantages of artificial intelligence, our project focuses on estimating and delivering the right resources for a college student. The web app, Edu. Social is created to determine and seek deep skills of a student and provide them with the right resources to heighten their knowledge. The web app would analyze the right resources based on the initial and prime inputs given by the students. The resources comprise placement opportunities, certification suggestions, workshops, seminars, activities and many more that are happening around the respective student. The web app does not just focus on the academic perspective but also the inner passion of a student. Therefore, this platform would be a great benefit for a student to gain experience and to see the viable resources put forth according to their field of interest and choice. The main focus of this Web Application is to keep students up to date by notifying them about new technologies available and where to focus on by providing frequent assessments to know where they stand.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"82 1","pages":"925-930"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87114562","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 Virtual Reality (VR) based Intelligent Guiding System 一种基于虚拟现实(VR)的智能导航系统

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053542

Chen Fuxiong

引用次数: 0

Malicious URL Detection and Classification Analysis using Machine Learning Models 使用机器学习模型的恶意URL检测和分类分析

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053422

Upendra Shetty D R, Anusha Patil, Mohana Mohana

{"title":"Malicious URL Detection and Classification Analysis using Machine Learning Models","authors":"Upendra Shetty D R, Anusha Patil, Mohana Mohana","doi":"10.1109/IDCIoT56793.2023.10053422","DOIUrl":"https://doi.org/10.1109/IDCIoT56793.2023.10053422","url":null,"abstract":"One of most frequent cybersecurity vulnerabilities is malicious websites or malicious uniform resource location (URL). Each year, people are losing billions of rupees by hosting gratuitous material (spam, malware, unsuitable adverts, spoofing etc.) and tempting naïve visitors to fall for scams. Email, adverts, web searches, or connections from other websites can all encourage people to visit these websites. Users click on the malicious URL in each instance, a trustworthy system that can categorize and identify dangerous URLs is needed due to rise in phishing, spamming, and malware occurrences. Due to the enormous amount of data, changing patterns and technologies, as well as the complex relationships between characteristics, non-availability of training data, non-linearity and the presence of outliers made classification challenging. In the proposed work, malicious URLs are detected for various applications. Dataset has been categorized into four types i.e., Phishing, Benign, Defacement and Malware. Totally 6,51,191 URLs have been used for proposed implementation. Three machine learning algorithms such as random forest, LightGBM and XGBoost were implemented to detect and classify malicious URLs.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"15 1","pages":"470-476"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72994949","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: 3

Crevices Recognition on Asphalt Surfaces using Convolutional Neural Network 基于卷积神经网络的沥青路面裂缝识别

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053463

Mukesh Chinta, Anagani Likhita, Yamini Aravapalli

引用次数: 0

Comparative Analysis of Classifiers in a Plant Recommendation System based on Environmental Factors 基于环境因素的植物推荐系统中分类器的比较分析

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053489

Rohan Mittal, Sreenitya Mandava, Tanmay S. Shetty, Harshita Patel

引用次数: 0

Smart Home Security Monitoring System based on Face Recognition and Android Application 基于人脸识别和Android应用的智能家居安防监控系统

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053558

S. Bhatlawande, S. Shilaskar, Tejal Gadad, S. Ghulaxe, Rachana Gaikwad

引用次数: 1

A Machine Learning-Based Approach for Anomaly Detection for Secure Cloud Computing Environments 基于机器学习的安全云计算环境异常检测方法

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053518

Priya Parameswarappa, Taral Shah, Govinda rajulu Lanke

{"title":"A Machine Learning-Based Approach for Anomaly Detection for Secure Cloud Computing Environments","authors":"Priya Parameswarappa, Taral Shah, Govinda rajulu Lanke","doi":"10.1109/IDCIoT56793.2023.10053518","DOIUrl":"https://doi.org/10.1109/IDCIoT56793.2023.10053518","url":null,"abstract":"The concept of \"cloud computing\" has been presented as a promising strategy for providing online service hosting and distribution. Despite the widespread adoption of cloud computing, security remains a top priority. Several secure methods have been devised to safeguard communication in such scenarios, with the majority of these solutions based on attack signatures. Unfortunately, these technologies cannot always detect every possible danger. A machine learning method was recently outlined. The judgment could be inaccurate if the training set is missing examples from a certain category. In this research, an innovative firewall strategy for safe cloud-based computing is presented using machine learning system. The proposed methods estimate the final assault category categorization by combining the judgments of the nodes from the past with the decision of the machine learning algorithm in the present, a technique termed most frequent decision. Both learning efficiency and system precision are improved by this method. Our results are based on UNSW-NB-15, a publicly available dataset. According to the evidence provided by our data, it improves anomaly detection by 97.68 percent. A Machine Learning-Based Approach for Anomaly Detection for Secure Cloud Computing Environments","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"53 1","pages":"931-940"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75328320","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

物联网技术最新文献