scholarly journals An Intelligent and Secure Health Monitoring Scheme Using IoT Sensor Based on Cloud Computing

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Jin-Xin Hu ◽  
Chin-Ling Chen ◽  
Chun-Long Fan ◽  
Kun-hao Wang
Keyword(s):  
Cloud Computing ◽  
Health Monitoring ◽  
Cloud Model ◽  
The Elderly ◽  
Security Requirements ◽  
Embedded Devices ◽  
Monitoring Scheme ◽  
Security Issues ◽  
Sensor Cloud ◽  
Cloud Servers

Internet of Things (IoT) is the network of physical objects where information and communication technology connect multiple embedded devices to the Internet for collecting and exchanging data. An important advancement is the ability to connect such devices to large resource pools such as cloud. The integration of embedded devices and cloud servers offers wide applicability of IoT to many areas of our life. With the aging population increasing every day, embedded devices with cloud server can provide the elderly with more flexible service without the need to visit hospitals. Despite the advantages of the sensor-cloud model, it still has various security threats. Therefore, the design and integration of security issues, like authentication and data confidentiality for ensuring the elderly’s privacy, need to be taken into consideration. In this paper, an intelligent and secure health monitoring scheme using IoT sensor based on cloud computing and cryptography is proposed. The proposed scheme achieves authentication and provides essential security requirements.

scholarly journals New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Mourade Azrour ◽  
Jamal Mabrouki ◽  
Rajasekhar Chaganti
Keyword(s):  
Cloud Computing ◽  
Experimental Tests ◽  
Healthcare Systems ◽  
Authentication Scheme ◽  
Security Requirements ◽  
Large Network ◽  
Embedded Devices ◽  
Security Issues ◽  
Private Data ◽  
Remote Healthcare

Recently, Internet of Things and cloud computing are known to be emerged technologies in digital evolution. The first one is a large network used to interconnect embedded devices, while the second one refers to the possibility of offering infrastructure that can be used from anywhere and anytime. Due to their ability to provide remote services, IoT and cloud computing are actually integrated in various areas especially in the healthcare domain. However, the user private data such as health data must be secured by enhancing the authentication methods. Recently, Sharma and Kalra projected an authentication scheme for distant healthcare service-based cloud-IoT. Then, authors demonstrated that the proposed scheme is secure against various attacks. However, we prove in this paper that Sharma and Kalra’s protocol is prone to password guessing and smart card stolen attacks. Besides, we show that it has some security issues. For that reason, we propose an efficient and secured authentication scheme for remote healthcare systems in cloud-IoT. Then, we prove informally that our projected authentication scheme is secure against multiple attacks. Furthermore, the experimental tests done using Scyther tool show that our proposed scheme can withstand against known attacks as it ensures security requirements.

Internet of things-based cloud computing platform for analyzing the physical health condition

2021 ◽  
pp. 1-15
Author(s):  
Mengyao Cui ◽  
Seung-Soo Baek ◽  
Rubén González Crespo ◽  
R. Premalatha
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Tracking System ◽  
Disease Diagnosis ◽  
Health Condition ◽  
Computing Platform ◽  
Concept Model ◽  
Patient Health ◽  
Cloud Servers

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.

scholarly journals A Secure Ciphertext Retrieval Scheme against Insider KGAs for Mobile Devices in Cloud Storage

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Run Xie ◽  
Chanlian He ◽  
Dongqing Xie ◽  
Chongzhi Gao ◽  
Xiaojun Zhang
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Privacy ◽  
Security Analysis ◽  
Data Retrieval ◽  
Sensitive Data ◽  
Encrypted Data ◽  
Security Issues ◽  
Efficiency Comparison ◽  
Cloud Servers

With the advent of cloud computing, data privacy has become one of critical security issues and attracted much attention as more and more mobile devices are relying on the services in cloud. To protect data privacy, users usually encrypt their sensitive data before uploading to cloud servers, which renders the data utilization to be difficult. The ciphertext retrieval is able to realize utilization over encrypted data and searchable public key encryption is an effective way in the construction of encrypted data retrieval. However, the previous related works have not paid much attention to the design of ciphertext retrieval schemes that are secure against inside keyword-guessing attacks (KGAs). In this paper, we first construct a new architecture to resist inside KGAs. Moreover we present an efficient ciphertext retrieval instance with a designated tester (dCRKS) based on the architecture. This instance is secure under the inside KGAs. Finally, security analysis and efficiency comparison show that the proposal is effective for the retrieval of encrypted data in cloud computing.

scholarly journals An Analysis of Cloud Computing Security Issues

2016 ◽  
pp. 212-217
Author(s):  
Baldev Singh
Keyword(s):  
Cloud Computing ◽  
Cloud Security ◽  
Cloud Services ◽  
Security Requirements ◽  
Hybrid Technique ◽  
Independent Manner ◽  
Cloud Computing Security ◽  
Security Issues ◽  
Effective Implementation ◽  
The Past

Cloud computing is one of the emerged technologies in the past decade. Tremendous growth is noticed in the usage and implementation of Cloud computing. Although cloud spectrum is widely popular still there are lot of challenges and issues to be addressed for its optimal usage. Vulnerabilities and threats to the cloud services leads to attacks and exploitation of resources as well as data breaches and privacy violations that need to be addressed at the cloud customer satisfaction level. This paper highlights different cloud security issues and their security requirements. The review aspects and findings of the paper can be used as a reference for further appropriate and effective implementation from the suggested practically viable cloud security solution in an independent manner or using as a hybrid technique.

Cloud Database Security Issues and Challenges

2019 ◽  
pp. 165-187 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Database Security ◽  
Security Requirements ◽  
Markup Language ◽  
Organizational Boundaries ◽  
Nosql Databases ◽  
Security Issues ◽  
Cloud Database ◽  
It Enterprise

To get the desired benefits for the IT enterprise, NoSQL databases must be combined with proven and reliable SQL features into a single proven infrastructure meeting the manageability and security requirements of cloud computing. Various specifications, including SAML (Security Assertions Markup Language), improved interoperability across organizational boundaries are coming up. This chapter discuses some of the security issues of NoSQL databases. All the related technology used in the chapter are explained either where they appear or at the end of the chapter.

Analysis of Genomic Data in a Cloud Computing Environment

Big Data ◽  
2016 ◽  
pp. 1129-1158
Author(s):  
Philip Groth ◽  
Gerhard Reuter ◽  
Sebastian Thieme
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Genomic Data ◽  
Security Requirements ◽  
Use Case ◽  
Shared Resources ◽  
Security Issues ◽  
Business Partners ◽  
Short Time

A new trend for data analysis in the life sciences is Cloud computing, enabling the analysis of large datasets in short time. This chapter introduces Big Data challenges in the genomic era and how Cloud computing can be one feasible approach for solving them. Technical and security issues are discussed and a case study where Clouds are successfully applied to resolve computational bottlenecks in the analysis of genomic data is presented. It is an intentional outcome of this chapter that Cloud computing is not essential for analyzing Big Data. Rather, it is argued that for the optimized utilization of IT, it is required to choose the best architecture for each use case, either by security requirements, financial goals, optimized runtime through parallelization, or the ability for easier collaboration and data sharing with business partners on shared resources.

Analysis of Genomic Data in a Cloud Computing Environment

2015 ◽  
pp. 186-214
Author(s):  
Philip Groth ◽  
Gerhard Reuter ◽  
Sebastian Thieme
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Genomic Data ◽  
Security Requirements ◽  
Use Case ◽  
Shared Resources ◽  
Security Issues ◽  
Business Partners ◽  
Short Time

A new trend for data analysis in the life sciences is Cloud computing, enabling the analysis of large datasets in short time. This chapter introduces Big Data challenges in the genomic era and how Cloud computing can be one feasible approach for solving them. Technical and security issues are discussed and a case study where Clouds are successfully applied to resolve computational bottlenecks in the analysis of genomic data is presented. It is an intentional outcome of this chapter that Cloud computing is not essential for analyzing Big Data. Rather, it is argued that for the optimized utilization of IT, it is required to choose the best architecture for each use case, either by security requirements, financial goals, optimized runtime through parallelization, or the ability for easier collaboration and data sharing with business partners on shared resources.

Cloud Computing Security Issues and Mechanisms

2011 ◽  
Vol 225-226 ◽  
pp. 706-709 ◽  
Author(s):  
Shu Guo Yang
Keyword(s):  
Cloud Computing ◽  
Ad Hoc ◽  
Rapid Development ◽  
Cloud Security ◽  
General Purpose ◽  
Security Requirements ◽  
Security Issue ◽  
Security Risks ◽  
Security Issues ◽  
Lower Cloud

Cloud computing is regarded as one of the most enticing technologies and potential silver bullet in the IT industry. Because of open condition and general-purpose nature of cloud, security issue is becoming a bottle neck of rapid development and broad application of cloud computing. Firstly, this paper addresses cloud customers’ significant concerns about and requirements of cloud security. Secondly, cloud security risks and threats posed by the pervasive and ad hoc nature of the cloud are comprehensively analyzed. Finally, some effective and dependable security mechanisms are proposed to lower cloud security risks and meet security requirements of cloud customers. Especially, a novel scheme for integrity and copyright protection of customers’ works in the cloud is presented based on digital watermarking and digital signature.

scholarly journals The Role of IoT and Cloud Computing in Health Monitoring Systems

2020 ◽  
Author(s):  
Renta Tsiachri ◽  
Soultanopoulos Sotiriadis
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Health Monitoring ◽  
The Elderly ◽  
Lessons Learned ◽  
Time Data ◽  
Chronic Patients ◽  
Wireless Protocols ◽  
Wide Range ◽  
Remote Patient

Cloud computing emerges as the key platform for IoT data storage, processing and analytics due to its simplicity, scalability and affordability (i.e. no up-front investment, low operation costs). Remote patient monitoring in particular can benefit from for this technology in many ways: (a) the new solution is acceptable by many user categories and provides invaluable assistance to chronic patients and the elderly, (b) it is expected to increase users autonomy and confidence and enable self-managing of their condition with the help of caregivers remotely, (c) it reduces the need for face-to-face appointments with doctors and days in hospital. This work reviews key challenges for reliable and secure remote health monitoring based on experience and lessons learned from applying the above technology to the problem of real-time data collection using both wide-range and short-rage wireless protocols and health sensors.

Sign in / Sign up

Export Citation Format

Share Document