Security in cloud computing approaches and solutions

Ennajjar, Ibtissam; Tabii, Youness; Benkaddour, Abdelhamid

doi:10.1109/cist.2014.7016594

Cited by 10 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The consumers can manage the deployed applications and can enhance also when needed. Example of PAAS includes Google App Engine, Windows azure, Force.com [3,9,10].…”

Section: Cloud Computing Service Modelsmentioning

confidence: 99%

“…Cloud computing has number of definitions but the U.S NIST (National Institute of Standards and Technology) has defined the cloud computing as "cloud computing is a model for enabling on demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services) that can be rapidly provisioned by and released with minimal effort or service provider interaction." Although this resulted in attraction of the enterprises, educational organizations, government agencies etc., towards the cloud computing like Amazon, IBM, Google etc., creating their own cloud platforms to provide more services and grow their business [9,10,11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Improved Security Mechanism for Protecting Data in Mobile Cloud Environment

Kaur¹,

Mahajan²

2016

IJAST

View full text Add to dashboard Cite

Cloud computing is a popular technology that provides services to the users on demand and on pay-per-usage fee that is they only pay for the data utilized when required. With the vast growth in the use of mobile phone applications, the users are relying on their phones for their personal as well as professional work and suffering from many problems (storage, processing, security etc). To overcome these limitations and growth in the use of cloud applications, a new development area has emerged recently called as Mobile cloud computing. Mobile cloud computing is an integration of three technologies cloud computing, mobile computing and internet, enabling the users to access the services at any time and from any place. Mobile phones are sensitive devices and the personal data is not secured when user stores data on cloud and can be easily attacked by unauthorized person. This paper presents a high level authentication and encryption model through a mobile application that encrypts the data before moving it to the cloud that ensures the security and the strong user authentication.

show abstract

“…The consumers can manage the deployed applications and can enhance also when needed. Example of PAAS includes Google App Engine, Windows azure, Force.com [3,9,10].…”

Section: Cloud Computing Service Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Security Mechanism for Protecting Data in Mobile Cloud Environment

Kaur¹,

Mahajan²

2016

IJAST

View full text Add to dashboard Cite

show abstract

“…Studies have shown that smart IoT devices offer minimal to no protection from cyberattacks that may compromise the device or the data that it stores or transfers into the cloud. 4 Security-related standards and regulations are not well established yet, resulting in numerous legacy communication protocols which may not provide ample protection to data privacy. Moreover, the overhead of such legacy protection for data storage and transmission is not well understood.…”

Section: Introduction To Smart Homes and The Internet-of-thingsmentioning

confidence: 99%

Trade-offs involved in the choice of cloud service configurations when building secure, scalable, and efficient Internet-of-Things networks

Mishra

Reichherzer

Kalaimannan

et al. 2020

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

This article focuses on results obtained from two cloud-based models that examine trade-offs between security, scalability, and efficiency of data collection for Internet-of-Things sensor networks. This work can provide insight for Internet-of-Things systems designers in choosing security controls and scalability features when working with cloud services. The results were obtained from a smart home Internet-of-Things prototype system in which data records from in-home sensors are transmitted wirelessly to an in-home hub, which forwards them to a cloud web service for storage and analysis. We consider different configurations and security controls on the wireless (in-home) and on the wired (home-to-web) sides. The configuration on the wireless side includes encrypted or plain-text transmission from the wireless sensors to the in-home hub for probing if software encryption of sensor data adds appreciable delay to the transmission time. The configuration on the wired side includes encryption or plain-text transmission, with or without authentication, with or without scalable cloud services. For each configuration, we measure end-to-end latency, transmission latency, and processing latency at the web service. Results of the experiments on the wired side showed much greater latencies and variability of latencies when using scalable cloud services.

show abstract

Cost-Effective Solutions in Cloud Computing Security

Hasimi

2021

Studies in Systems, Decision and Control

View full text Add to dashboard Cite

Security in cloud computing approaches and solutions

Cited by 10 publications

References 7 publications

An Improved Security Mechanism for Protecting Data in Mobile Cloud Environment

An Improved Security Mechanism for Protecting Data in Mobile Cloud Environment

Trade-offs involved in the choice of cloud service configurations when building secure, scalable, and efficient Internet-of-Things networks

Cost-Effective Solutions in Cloud Computing Security

Contact Info

Product

Resources

About