scholarly journals Analysis the Structures of Some Symmetric Cipher Algorithms Suitable for the Security of IoT Devices

2021 ◽  
Vol 5 (2) ◽  
pp. 13-19
Author(s):  
Khalid F. Jasim ◽  
Reem J. Ismail ◽  
Abdullah A. Nahi Al-Rabeeah ◽  
Soma Solaimanzadeh
Keyword(s):  
Data Storage ◽  
Data Exchange ◽  
Block Size ◽  
Healthcare Services ◽  
Cloud Services ◽  
Smart Devices ◽  
Computing Services ◽  
Wide Range ◽  
Encryption Algorithms ◽  
Local Storage

In the past years, the Internet of Things (IoT) used in different applications and very wide range of fields (e.g. cloud services, smart environments, logistics, social and personal domains, and healthcare services). The IoT included a variety of components and devices such as RFID devices, wireless sensors, actuators, and wireless networks. Also, the IoT with smart devices adopted in various companies, organizations and public services systems. For instance, some devices like Notebooks and smartphones have been used to perform different management activities and duties. These smart devices relied on data exchange and data storage resources in clouds computing services. In this context, the saved data and exchanged data required protection against hacking operations, transferred with more secure communications channels, and safe storage environment in the clouds and local storage systems. In this paper, we proposed some encryption algorithms to tackle the issue of data confidentiality in the IoT applications. This research provided analysis and investigation of these encryption algorithms in light of components of the designs, versions of these algorithms, encryption keys, block size, round functions and the techniques used in the designs.

scholarly journals Towards Distributed Data Management in Fog Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Vasileios Moysiadis ◽  
Panagiotis Sarigiannidis ◽  
Ioannis Moscholios
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Fog Computing ◽  
Cloud Services ◽  
Smart Devices ◽  
Distributed Data ◽  
Storage Allocation ◽  
Huge Amount ◽  
Distributed Data Storage

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

Comparative Research of Two XML Document Storage Modes Based on Relational Database

2012 ◽  
Vol 263-266 ◽  
pp. 1360-1363
Author(s):  
Da Jie Fu
Keyword(s):  
Data Storage ◽  
Mobile Communications ◽  
Web Application ◽  
Data Exchange ◽  
Xml Data ◽  
Advantages And Disadvantages ◽  
Storage Technology ◽  
Wide Range ◽  
Xml Document ◽  
Document Storage

XML has become one of the general data exchange formats in the current Web application programs, with a wide range of applications in e-commerce, e-books, mobile communications and other fields. XML data storage technology is the key technology for XML applications, and an effective XML data storage, retrieval and management mechanism is a strong driving force for the development of XML. At present, XML data storage technology is generally divided into two categories, which are storage technologies based on a file system and based on a database. In this paper, the technical characteristics of the two XML document storage modes have been discussed, and their advantages and disadvantages have also been analyzed and compared.

scholarly journals A Survey Based Study on Fog Computing Awareness

2021 ◽  
Vol 13 (2) ◽  
pp. 49-62
Author(s):  
Zainab Javed ◽  
◽  
Waqas Mahmood
Keyword(s):  
Data Storage ◽  
Fog Computing ◽  
Extensive Literature ◽  
Time Analysis ◽  
Computing Architecture ◽  
Real Time Analysis ◽  
Computing Services ◽  
Business Operations ◽  
Wide Range ◽  
Cloud Computing Services

In this day and age, the rise in technological advancements has the potential to improve and transform our lives every day. The rapid technology innovation can have a great impact on our business operations. Currently, Cloud computing services are popular and offer a wide range of opportunities for their customers. This paper presents a survey on a more recent computing architecture paradigm known as Fog Computing. Fog networking is a beneficial solution that offers the greater facility of data storage, enhanced computing, and networking resources. This new concept of fog complements cloud solution by facilitating its customers with better security, real-time analysis improved efficiency. To get a clear picture and understanding of how fog computing functions, we have performed an extensive literature review. We also presented a comparative study of fog computing with cloud and grid computing architectures. In this study, we have conducted a survey that led us to the conclusion that fog computing solution is still not applicable and implemented in most of the IoT industries due to the lack of awareness and the high architecture’s cost. Results of the study also indicate that optimized data storage and security are a few of the factors that can motivate organizations to implement the Fog computing architecture. Furthermore, the challenges related to fog computing solution are reviewed for progressive developments in the future.

scholarly journals Proposal for a Secure Data Sharing and Processing in Cloud Applications for Healthcare Domain

2021 ◽  
Vol 3 (1) ◽  
pp. 10-17
Author(s):  
Mbarek Marwan ◽  
Ali Karti ◽  
Hassan Ouahmane
Keyword(s):  
Access Control ◽  
Information Exchange ◽  
Data Exchange ◽  
Medical Information ◽  
Health Sector ◽  
Medical Data ◽  
Cloud Services ◽  
It Services ◽  
Wide Range ◽  
Cloud Applications

Information Technology (IT) services have become an inherent component in almost all sectors. Similarly, the health sector has been recently integrating IT to meet the growing demand for medical data exchange and storage. Currently, cloud has become a real hosting alternative for traditional on-permise software. In this model, not only do health organizations have access to a wide range of services but most importantly they are charged based on the usage of these cloud applications. However, especially in the healthcare domain, cloud computing deems challenging as to the sensitivity of health data. This work aims at improving access to medical data and securely sharing them across healthcare professionals, allowing real-time collaboration. From these perspectives, they propose a hybrid cryptosystem based on AES and Paillier to prevent the disclosure of confidential data, as well as computing encrypted data. Unlike most other solutions, the proposed framework adopts a proxy-based architecture to tackle some issues regarding privacy concerns and access control. Subsequently, this system typically guarantees that only authorized users can view or use specific resources in a computing environment. To this aim, they use eXtensible Access Control Markup Language (XACML) standard to properly design and manage access control policies. In this study, they opt for the (Abbreviated Language for Authorization) ALFA tool to easily formulate XACML policies and define complex rules. The simulation results show that the proposal offers simple and efficient mechanisms for the secure use of cloud services within the healthcare domain. Consequently, this framework is an appropriate method to support collaboration among all entities involved in medical information exchange.

scholarly journals Cloud Computing Models for Business

2022 ◽  
Vol 12 (1) ◽  
pp. 163-172
Author(s):  
Irina Alekseevna Vorobeva ◽  
◽  
Alexander Vladimirovich Panov ◽  
Alexander Arkadyevich Safronov ◽  
Alexey Ivanovich Sazonov
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Business Models ◽  
Market Competition ◽  
Cloud Services ◽  
Platform As A Service ◽  
Computing Services ◽  
New Business ◽  
Computing Platforms ◽  
Computing Models

The idea of cloud computing is not a new one, it has been developed and discussed for many years. Cloud computing is a model which allows to get access to the network upon request from the set of adjustable computing services, such as infrastructure, applications and storages. Cloud services and data storage products allow their users to store and share any type of document and file from any device connected to Internet. There are several types of cloud services, which can be subdivided into: SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service). Besides, there are several deployment models, such as public, residential, hybrid or community cloud. Cloud computing models are based on modern process paradigm, which offers new alternatives to the companies of various ranges for implementation of innovative business models. With the help of these new business models small companies will be able to use cloud computing platforms and to increase gradually their computation capacities and data storage capacities depending on the requirements in real time mode, which creates a unique opportunity for market competition. Keywords— cloud computing, IaaS, OpenStack, PaaS, SaaS.

Cloud Security Using Ear Biometrics

2016 ◽  
pp. 823-848 ◽  
Author(s):  
Santosh Kumar ◽  
Ali Imam Abidi ◽  
Sanjay Kumar Singh
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Rapid Development ◽  
Cloud Security ◽  
Cloud Services ◽  
Network Computing ◽  
Cloud Data ◽  
Computing Services ◽  
Cloud Data Storage

Cloud computing has created much enthusiasm in the IT world, institutions, business groups and different organizations and provided new techniques to cut down resource costs and increase its better utilization. It is a major challenge for cloud consumers and service providers equally. Establishing one's identity has become complicated in a vastly interconnected cloud computing network. The need of a consistent cloud security technique has increased in the wake of heightened concerns about security. The rapid development in cloud data storage, network computing services, accessing the cloud services from vendors has made cloud open to security threats. In this chapter, we have proposed an approach based on Ear Biometric for cloud security of individual consumers and vendors. This approaches started to get acceptance as a genuine method for determining an individual's identity. This chapter provides with the stepping stone for future researches to unveil how biometrics can change the cloud security scenario as we know it.

scholarly journals A Comprehensive Review on Cloud Computing and Cloud Security Issues

2020 ◽  
pp. 483-490
Author(s):  
Supongmen Walling
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Primary Objective ◽  
Cloud Services ◽  
It Infrastructure ◽  
Security Issues ◽  
Computing Services ◽  
Processing Power ◽  
Wide Range ◽  
Cloud Computing Services

Cloud computing is a type of computing where computing services such as applications, storage, infrastructure, processing power are hosted by some vendors (cloud vendors) over the Internet and delivered to users on on-demand basis. A company can benefit from cloud computing in the sense that they can rent access to anything from applications to storage to processing power rather than owning their own IT infrastructure. By using cloud-computing services, companies can avoid the various costs and complexities associated with owning and maintaining their own IT infrastructure as everything is taken care of by the service providers. Cloud computing is a paradigm in which both the users and the service providers are benefited. Service providers are greatly benefited from cloud computing by providing cloud services to a wide range of customers. The primary objective of this paper is to give an overview on cloud computing encompassing its features, the pros and cons of cloud computing and the challenges that comes with it. Furthermore, this paper also presents a list of security concerns in cloud computing which stands in the way of wide spread adoption of cloud computing thereby motivating researchers to devise competent solutions to tackle these ongoing security issues.

Cloud Security Using Ear Biometrics

2015 ◽  
pp. 39-64
Author(s):  
Santosh Kumar ◽  
Ali Imam Abidi ◽  
Sanjay Kumar Singh
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Rapid Development ◽  
Cloud Security ◽  
Cloud Services ◽  
Network Computing ◽  
Cloud Data ◽  
Computing Services ◽  
Cloud Data Storage

Cloud computing has created much enthusiasm in the IT world, institutions, business groups and different organizations and provided new techniques to cut down resource costs and increase its better utilization. It is a major challenge for cloud consumers and service providers equally. Establishing one's identity has become complicated in a vastly interconnected cloud computing network. The need of a consistent cloud security technique has increased in the wake of heightened concerns about security. The rapid development in cloud data storage, network computing services, accessing the cloud services from vendors has made cloud open to security threats. In this chapter, we have proposed an approach based on Ear Biometric for cloud security of individual consumers and vendors. This approaches started to get acceptance as a genuine method for determining an individual's identity. This chapter provides with the stepping stone for future researches to unveil how biometrics can change the cloud security scenario as we know it.

scholarly journals Improving Central and Remote Access Units in Cloud Based Wi-Fi Network for Better Client and Service

2019 ◽  
pp. 171-179
Author(s):  
Kavitha R ◽  
Sathiyabama G
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Mobile Devices ◽  
Data Storage ◽  
User Satisfaction ◽  
Cloud Services ◽  
Remote Access ◽  
Balance Model ◽  
Smart Devices ◽  
Public Cloud

People show attention to cloud computing since it is efficient and scalable. But maintaining the stability of processing so many jobs in the cloud computing environment with load balancing is a very difficult problem and receives much attention by researchers. Load balancing in cloud computing platform has performance impact also. Good load balancing makes cloud computing more efficient and increases user satisfaction. This paper introduces a better load balance model for public cloud based on cloud partitioning concept with a switch mechanism to choose various strategies in different situations. The algorithm applies game theory to load balancing strategy and improves the efficiency in the public cloud environment. MCC is a concept which aims to mitigate these limitations by extending the capabilities of smart devices by employing cloud services, as required. In MCC both the data storage and processing occur external to the mobile device, while in cloud computing it is usually only the data storage which is external. In this following a some of these architectures as categorized in augmented execution, elastic partitioned/modularized applications, application mobility, ad-hoc mobile cloud and add a fifth category; cyber foraging. This system addresses whether MCC techniques can be used to extend the capabilities of resource-constrained mobile-devices to provide the illusion of infinite, elastic resources on demand. The existing system limitations of mobile-devices, and identified five key limited resources as being CPU, memory, battery, data usage and time. In this research explored existing solutions for these limitations and identified offloading computation and storage from the device as a possible solution.

scholarly journals Healthcare Data Breaches: Insights and Implications

Healthcare ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 133 ◽  
Author(s):  
Adil Hussain Seh ◽  
Mohammad Zarour ◽  
Mamdouh Alenezi ◽  
Amal Krishna Sarkar ◽  
Alka Agrawal ◽  
...  
Keyword(s):  
Average Method ◽  
Moving Average ◽  
Healthcare Services ◽  
Cloud Services ◽  
Smart Devices ◽  
Healthcare Industry ◽  
Data Breaches ◽  
Healthcare Data ◽  
Depth Analysis ◽  
Financial Losses

The Internet of Medical Things, Smart Devices, Information Systems, and Cloud Services have led to a digital transformation of the healthcare industry. Digital healthcare services have paved the way for easier and more accessible treatment, thus making our lives far more comfortable. However, the present day healthcare industry has also become the main victim of external as well as internal attacks. Data breaches are not just a concern and complication for security experts; they also affect clients, stakeholders, organizations, and businesses. Though the data breaches are of different types, their impact is almost always the same. This study provides insights into the various categories of data breaches faced by different organizations. The main objective is to do an in-depth analysis of healthcare data breaches and draw inferences from them, thereby using the findings to improve healthcare data confidentiality. The study found that hacking/IT incidents are the most prevalent forms of attack behind healthcare data breaches, followed by unauthorized internal disclosures. The frequency of healthcare data breaches, magnitude of exposed records, and financial losses due to breached records are increasing rapidly. Data from the healthcare industry is regarded as being highly valuable. This has become a major lure for the misappropriation and pilferage of healthcare data. Addressing this anomaly, the present study employs the simple moving average method and the simple exponential soothing method of time series analysis to examine the trend of healthcare data breaches and their cost. Of the two methods, the simple moving average method provided more reliable forecasting results.

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