检索结果-南通市图书馆

Implementing Machine Learning-based Autonomic Cyber Defense for IoT-enabled healthcare devices

Journal of Artificial Intelligence and Technology 2023年第4期3卷 162-172页

作者： M.Manimaran Murali Dhar Roger Norabuena-Figueroa R.Mahaveerakannan S.Saraswathi K.Selvakumarasamy Department of Computer Science and Engineering(AI&ML) School of ComputingMohan Babu UniversityTirupatiAndhra PradeshIndia Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology AvadiChennaiTNIndia Universidad Privada San Juan Bautista LimaPerú Saveetha School of Engineering Saveetha Institute of Medical and Technical SciencesChennaiTNIndia

Smart homes present a serious challenge for the aged and those with mobility issues due to the environment’s inherent *** people have the propensity to fall over when bending over in these ***,they show two time-based reasoning models to identify incidents of potentially fatal falls that have not been accounted for(CM-I and CM-II).The ubiquitous use of IoT altimeter watches among the elderly provides a wealth of data that can be used by these algorithms to predict the likelihood of a fall based on categorization *** compared actual and simulated data involving missteps,mishaps,and crashes to gauge the programmers’*** suggest that using such logic models to help healthcare providers determine if senior people living in smart homes have fallen is a potential field for future *** CM-II model had the highest prediction accuracy of any model identified in the literature,at 0.98 when compared to the test *** the number of devices linked to the IoT can be quickly extended in contrast to the number of devices connected to conventional computers,the number of hacks aimed at the IoT has grown *** is no way to fix the issue that hacked IoT devices create until they figure out how to track down the source of the *** a deeper understanding of the technologies,protocols,and architecture of IoT systems,as well as the potential consequences of using infected IoT devices,is the overarching goal of this *** are many Internet of Things(IoT)systems vulnerable to cybercriminal manipulation,so this study also explores a range of machine learning and deep learning-based methods that can be used to detect such compromise.

关键词： cyber defense healthcare devices Internet of Things(IoT) machine learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

healthcare Device Security Assessment through Computational Methodology

引用

Computer Systems Science & Engineering 2022年第5期41卷 811-828页

作者： Masood Ahmad Jehad F.Al-Amri Ahmad F.Subahi Sabita Khatri Adil Hussain Seh Mohd Nadeem Alka Agrawal Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science University College of Al JamoumUmm Al Qura UniversityMakkah21421Saudi Arabia

The current study discusses the different methods used to secure healthcare devices and proposes a quantitative framework to list them in order of *** study uses the Hesitant Fuzzy(HF),Analytic Hierarchy Process(AHP)integrated with Fuzzy Technical for Order Preference by Similarities to Ideal Solution(TOPSIS)to classify the best alternatives to security techniques for healthcare devices to securing the *** technique is enlisted to rate the alternatives based on the degree of satisfaction of their *** ranks of the alternatives consequently decide the order of priority for the techniques.A1 was the most probable alternative of all the alternatives,according to the ranks of the alternatives *** means that the security of A2 healthcare devices is the greatest of all the alternatives picked.A corroborative guide for the developers and the makers in quantitatively determining the security of healthcare devices to engineer efficacious devices will be the findings drawn up with the assistance of the proposed *** assessments performed using the proposed framework are systematic,precise,and ***,the results of the present empirical analysis are a stronger and accurate choice than the manual assessment of the device’s security.

关键词： healthcare devices HF-AHP.TOPSIS device security

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：