2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)最新文献_第9页

Women's Safety Device Based On Internet Of Things 基于物联网的女性安全装置

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688529

Prachi Gupta, Yashika Goyal, Divit Gulati, Palak Rastogi, Shagun Saboo

{"title":"Women's Safety Device Based On Internet Of Things","authors":"Prachi Gupta, Yashika Goyal, Divit Gulati, Palak Rastogi, Shagun Saboo","doi":"10.1109/ICMNWC52512.2021.9688529","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688529","url":null,"abstract":"The arising concern of Women's Safety is not a question of special interests but a national problem of severe symmetries. Women all across the world are confronting many precarious situations like molestation, sexual harassment, acid attacks, and, most serious of all is rape. The World Health Organization calculates that around 30% of women worldwide are constrained to physical and sexual intimate assault at a certain point in their lives. Atrocities held against women can now be brought to an end by bringing an intelligent portable device called SURAKSHA KAWACH into the real world. Suraksha Kawach is an aesthetically designed device that is tiny and easy to hide. Whenever any woman senses insecurity from a stranger or an assaulter is about to attack her, she can activate the device either by a pattern-based tapping or calling out an activation code once with a minimum required frequency. Instantly, the device and its recorder will initiate, and a standard SMS with the victim's location goes to the police and their family members. They would be able to access all the recording data. We will apply GPS and GSM to trace the location to trigger alerts to the pre-programmed contacts stored in the microprocessor.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128619309","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: 4

A Kiosk to Provide Information on Government Schemes to Rural Population and Other Services 为农村人口提供政府计划和其他服务的资讯亭

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688455

R. A, Rakshith N V, Samarth Agasthya M S, Sammanay Majumder, R. Rohan

引用次数: 0

Vulnerability Management using Machine Learning Techniques 利用机器学习技术进行漏洞管理

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688490

T. Shivani, Hegde Ramakrishna, Nagraj Nagashree

{"title":"Vulnerability Management using Machine Learning Techniques","authors":"T. Shivani, Hegde Ramakrishna, Nagraj Nagashree","doi":"10.1109/ICMNWC52512.2021.9688490","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688490","url":null,"abstract":"This paper presents some technologies and methods for Machine learning. It then highlights security concerns, attack vectors, and logical vulnerabilities. To address these security concerns and shortcomings, we present an areas way to deal with intelligent weaknesses. Programming vulnerability are an essential worry in the IT security industry, as malicious programmers who find these vulnerabilities can regularly miss use them for revolting purposes. Web applications will continue to be presented to events that fail to capitalize on their drawbacks until the end of time. In this research, we examine how AI methods may be used to improve the visibility of Web Application Firewalls (WAFs) that are structures used to identify and prevent assaults. We provide the Cybersecurity Vulnerability Ontology (CVO), a decided model for formal data depiction of the board region's weakness, and we use it to construct a Cyber Intelligence Alert (CIA) structure that sends out advanced alerts concerning faults and security measures. There thoroughly assessed the CVO just as the exactness, execution, and helpfulness of the CIA framework.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121560720","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

Enhanced Performance of Metamaterials Loaded Substrate Integrated Waveguide Antenna For Multiband Application 用于多波段应用的超材料加载基板集成波导天线的增强性能

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688519

Akash Rawat, Arpit Tiwari, Sonam Gour, Ravi Joshi

引用次数: 1

Masked & Unmasked Face Recognition Using Support Vector Machine Classifier 基于支持向量机分类器的蒙面与非蒙面人脸识别

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688542

Poornima P D, Paras Nath Singh

引用次数: 2

Ambulance Siren Detection using an MFCC based Support Vector Machine 基于MFCC的支持向量机的救护车警报器检测

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688340

D. C. Chinvar, M. Rajat, Ravi L Bellubbi, Sanjay Sampath, Kavita Guddad

引用次数: 1

Challenges Identified for the Efficient Implementation of the Hybrid E- Learning Model During COVID-19 COVID-19期间有效实施混合电子学习模式所面临的挑战

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688533

Rafath Zahra, Ananthi Sheshasaayee

引用次数: 0

Trust Score Evaluation Scheme for Secure Routing in VANET VANET中安全路由的信任评分评估方案

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688475

M. G, E. Uma, B. Senthilnayaki, A. Devi, C. Rajeswary, P. Dharanyadevi

{"title":"Trust Score Evaluation Scheme for Secure Routing in VANET","authors":"M. G, E. Uma, B. Senthilnayaki, A. Devi, C. Rajeswary, P. Dharanyadevi","doi":"10.1109/ICMNWC52512.2021.9688475","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688475","url":null,"abstract":"An Intelligent Transportation System has given a new dimension for Vehicular Communication so called VANET. This Vehicular network is the subcategory of Mobile Adhoc Network. The Vehicular technology enables the communication between the transporting system and with infrastructure through a wireless medium. The purpose of communication is to share environmental related information other messages in order to alert the vehicles that are coming behind. This will make the user know the information well in prior which avoids unnecessary accidents and uncomforted situations. The messages are gathered by the vehicles which on in front will pass that to other transports or infrastructure. The message dissemination happens between the transports and the infrastructure which are connected in the network. For this, it is necessary to check the genuineness of the transport, where there can be a possibility for disseminating bogus messages for their own benefits. These vehicles are believed to be untrusted transport that needs to be identified and has to be eliminated from the network topology to guarantee a secure network. In this proposed work, a trust evaluation scheme for effective trust calculation in identifying the bogus transport. The primary focus of this proposed method is to detect anonymous transport and find the optimal path for the message to reach the destination. The parameters that are mainly considered are Packet Delivery Ratio, Delay. This proposed scheme achieves better accuracy compared to the existing system.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127010301","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: 2

Comparative Study: Stock Prediction Using Fundamental and Technical Analysis 比较研究:运用基本面和技术分析进行股票预测

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688449

P. K, Sagar Rudagi, N. M, Ranispoorti Patil, Rohini Wadi

{"title":"Comparative Study: Stock Prediction Using Fundamental and Technical Analysis","authors":"P. K, Sagar Rudagi, N. M, Ranispoorti Patil, Rohini Wadi","doi":"10.1109/ICMNWC52512.2021.9688449","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688449","url":null,"abstract":"The stock market, which is also called the equity or the share market, is a place where the shares of publicly listed companies are traded. The price of a particular stock can be approximated using two types of analysis, technical and fundamental analysis. The growing applications of machine learning have made it possible to be applied to the task of prediction using historical stock data, namely OHLC (open, high, low, and close) data and publicly listed companies’ annual and quarterly financial reports. In this survey paper, we explore the current advancements in this field using different Artificial Neural Network architectures such as Long Short Term Memory Networks, Recurrent Neural Networks, Support Vector Machines, Deep Learning, and Machine Learning techniques. These different methodologies and architectures are compared on how effective the existing systems are for the task of stock price prediction in the view of long-term investing. This paper also discusses how these techniques could be used to develop a system that would help investors decide to invest.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134395290","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: 4

Secure Routing Protocols for MANET-enabled IoT 支持manet的物联网的安全路由协议

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688553

Aruna Gupta, T. Sasikala

引用次数: 1