2022 7th International Conference on Computing, Communication and Security (ICCCS)最新文献

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Comparative Study of Ransomwares 勒索软件的比较研究

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079369

Vivek Kumar Anand, Karunesh Bamanjogi, Aryan Raj Shaw, Mahak Faheem

引用次数: 0

A Health-Care Architecture Based on Energy-Efficient Cloud Computing 基于节能云计算的医疗保健体系结构

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079256

Sunil Ghildiyal, K. Joshi, Puneet Kanti, M. Memoria, Ajay Singh, Ashulekha Gupta

{"title":"A Health-Care Architecture Based on Energy-Efficient Cloud Computing","authors":"Sunil Ghildiyal, K. Joshi, Puneet Kanti, M. Memoria, Ajay Singh, Ashulekha Gupta","doi":"10.1109/ICCCS55188.2022.10079256","DOIUrl":"https://doi.org/10.1109/ICCCS55188.2022.10079256","url":null,"abstract":"With emerging advancements, the medical domain of health monitoring systems has a necessity to combine cloud computing and IoT technology for the current requirements. This study is concerned with designing IoT modules under the supervision of the Cloud Computing technology connected with a server. The device is used to coordinate people and health care, people and sensors, gateway, and servers with a database. From the sensor point, health maintenance metrics like sugar level, blood pressure status, the oxygen level of the human body, and other parameters will be collected. The records will be transferred by a gateway to the health care server which is connected using the cloud technology. The corresponding gateway is used to receive instructions from the server by analyzing the healthcare metrics from the users. As the server is connected to the cloud technology, a user can transfer the records or receive instructions from the server either in their residential location or any outdoor area. For the efficiency of the system, a Cloud Computing Health care Architecture (CCHA) is designed. Using this health indicating metrics will be transferred through any of the GSM techniques. Through the efficient integration of health care and cloud platform, the interconnection of servers, professional instruction from medical experts, and other value-added services may be added. The CPU usage is 42%, internal usage is 7.55 GHz, and memory utilization is 591.65 Mb. On the whole study of the system, CCHA works efficiently without any restart, crash, and other performancerelated issues.","PeriodicalId":149615,"journal":{"name":"2022 7th International Conference on Computing, Communication and Security (ICCCS)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126712907","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

Mammogram Image Classification Using Various Machine Learning Algorithms 使用各种机器学习算法的乳房x光图像分类

2022 7th International Conference on Computing, Communication and Security (ICCCS) Pub Date : 2022-11-03 DOI: 10.1109/ICCCS55188.2022.10079398

Arpita Joshi, A. Mehta

引用次数: 0

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