scholarly journals Research on Security Architecture in Mobile Cloud Computing to Prevent Adaptive Anomaly Attacks

2019 ◽  
Vol 8 (6S4) ◽  
pp. 942-947
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Privacy ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Accessibility ◽  
Security Issues ◽  
Wide Range ◽  
Rapid Pace

Cloud Computing is a very viable data storage structure where the users can store and access the data from anywhere. Cloud computing use is increasing at a very rapid pace nowadays. But as cloud allows us data accessibility quite easily data security is a major concern and is an emerging area of study. Other issues related to cloud computing are data privacy and internet dependency. On the other cloud computing also has wide range of benefits over traditional storage and accessibility environment such as scalability, flexibility and resource utilization. We have worked in the area of mobile cloud computing to analyse and solve the problems of anomaly attacks. Our work focuses on preventing the adaptive anomaly attacks and some other security issues of cloud computing

scholarly journals Data security issues in the realm of mobile cloud computing: A survey

2018 ◽  
Author(s):  
Mohammed-Ali Anwar
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Data Security ◽  
Mobile Cloud Computing ◽  
Technological Development ◽  
Mobile Cloud ◽  
Cloud Environment ◽  
Security Issues ◽  
Use Of Resources

Mobile Cloud Computing (MCC) is a recent technological development, which has emerged from two popular technology trends; mobile computing and cloud. In essence it revolutionises the capabilities of mobile devices by integrating both storage and processing of the cloud environment with mobile computing and in doing so providing greater optimisation and operating power, allowing for transparent and seamless use of resources provided by the cloud. However, expanding the capability of resource constrained mobile devices in this manner comes at a price. There are many risks associated with the security of data within the cloud environment and as MCC essentially uses the cloud, it also inherits any security issues that are associated with cloud computing. The aim of this survey is to identify potential data security issues, and analyse and present some pioneering security mechanisms and finally suggest some future directions for better data security with MCC.

Data Storage Security in Mobile Cloud Computing (MCC) using Improved Blowfish Algorithm

2021 ◽  
pp. 100-111
Author(s):  
Seada Abdu Wakene ◽  
Sisay Muleta Hababa ◽  
Gutema Seboka Daba ◽  
K S Ananda Kumar
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Device ◽  
Data Security ◽  
Mobile Cloud Computing ◽  
Data Access ◽  
Security And Privacy ◽  
Mobile Cloud ◽  
Technical Requirements

Mobile cloud computing (MCC) combines cloud computing and mobile computing to deliver vast computational resources to mobile consumers, network operators, and cloud computing providers. You may access your data from anywhere in the globe using any mobile device that is linked to the Internet. Cloud computing provides access to data in real-time whenever and wherever want. Any conventional mobile device can benefit from MCC's infrastructure, computational capacity, software, and platform services. Network security, web application security, data access, authentication, authorization, data confidentiality, and data breach are all concerns of MCC's security. Because mobile devices lack sufficient storage and processing power, their data storage capacity is limited. Users of mobile devices may inadvertently provide sensitive information over the network or through the application. Therefore, data security is the main concern for mobile device users. The objective of this paper is to find a solution that can enhance technical requirements with relation to user’s data security and privacy in mobile cloud computing. To achieve this improved blowfish encryption algorithm is used to encrypt each user’s data security and where the shared secret key is hash down using message digest called secured hash function. Hashing can increase the integrity and privacy of user data. The proposed algorithm is evaluated with a normal blowfish algorithm and 3DES with different parameters. Improved blowfish algorithm shows better performance than normal blowfish algorithm and 3DES. In this work, we have developed web-based application where the Amazon MySQL RDS database is used for data storage.

Mobile Cloud Database Security: Problems and Solutions

2021 ◽  
pp. 15-29
Author(s):  
Mahmoud Ismail ◽  
◽  
◽  
◽  
Naif El El-Rashidy ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Service Providers ◽  
Database Security ◽  
Mobile Internet ◽  
Mobile Cloud ◽  
Security Issues ◽  
Mobile Computing Environment ◽  
Wide Range ◽  
Cloud Database

The rise in mobile Internet usage and increased reliance on cloud computing have led to increased fear of cloud database security. Mobile cloud computing has emerged as the only promising way of providing solutions for the mobile computing environment, including computation offloading and data binding. This paper discusses the overview of mobile cloud computing features and its prone computing security issues and how to walk over them with the most promising solutions. More specifically, it explores in detail a wide range of threats that may attack the mobile cloud-computing platform and the various devices and applications that work extremely well in supporting and mitigating the wide range of problems related to security issues in mobile applications. Moreover, this paper studies some of the ways to make mobile cloud computing more secure and productive no matter the intensity of the required computation. This study takes into consideration, the most common threats that affect the security issues of the mobile cloud database and its solutions. It is deemed necessary to note that, the duty of various cloud service providers is to keep all mobile cloud data safe. Consequently, they must come up with solutions to the problems affecting the day-to-day mobile cloud database security.

scholarly journals Data security issues in the realm of mobile cloud computing: A survey

2018 ◽  
Author(s):  
Mohammed-Ali Anwar
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Data Security ◽  
Mobile Cloud Computing ◽  
Technological Development ◽  
Mobile Cloud ◽  
Cloud Environment ◽  
Security Issues ◽  
Use Of Resources

Mobile Cloud Computing (MCC) is a recent technological development, which has emerged from two popular technology trends; mobile computing and cloud. In essence it revolutionises the capabilities of mobile devices by integrating both storage and processing of the cloud environment with mobile computing and in doing so providing greater optimisation and operating power, allowing for transparent and seamless use of resources provided by the cloud. However, expanding the capability of resource constrained mobile devices in this manner comes at a price. There are many risks associated with the security of data within the cloud environment and as MCC essentially uses the cloud, it also inherits any security issues that are associated with cloud computing. The aim of this survey is to identify potential data security issues, and analyse and present some pioneering security mechanisms and finally suggest some future directions for better data security with MCC.

Mobile cloud computing models security issues: A systematic review

2021 ◽  
pp. 103152
Author(s):  
Ahmad Salah AlAhmad ◽  
Hasan Kahtan ◽  
Yehia Ibrahim Alzoubi ◽  
Omar Ali ◽  
Ashraf Jaradat
Keyword(s):  
Systematic Review ◽  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Security Issues ◽  
Computing Models

Mobile Cloud Computing

2018 ◽  
pp. 105-123
Author(s):  
Parkavi R ◽  
Priyanka C ◽  
Sujitha S. ◽  
Sheik Abdullah A
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Mobile Service ◽  
Service Users ◽  
Security Issues ◽  
Mobile Computing Environment

Mobile Cloud Computing (MCC) which combines mobile computing and cloud computing, has become one of the industry ring words and a major conversation thread in the IT world with an explosive development of the mobile applications and emerging of cloud computing idea, the MCC has become a possible technology for the mobile service users. The concepts of Cloud computing are naturally meshed with mobile devices to allow on-the-go functionalities and benefits. The mobile cloud computing is emerging as one of the most important branches of cloud computing and it is expected to expand the mobile ecosystems. As more mobile devices enter the market and evolve, certainly security issues will grow as well. Also, enormous growth in the variety of devices connected to the Internet will further drive security needs. MCC provides a platform where mobile users make use of cloud services on mobile devices. The use of MCC minimizes the performance, compatibility, and lack of resources issues in mobile computing environment.

Security Management in Mobile Cloud Computing

2018 ◽  
pp. 1027-1043
Author(s):  
Basudeo Singh ◽  
Jasmine K.S.
Keyword(s):  
Cloud Computing ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Security Issue ◽  
Security Strategy ◽  
Cloud Systems ◽  
Security Issues ◽  
Pros And Cons

Mobile cloud computing is a technique or model in which mobile applications are built, powered and hosted using cloud computing technology. In Mobile Cloud computing we can store information regarding sender, data and receiver on cloud through mobile application. As we store more and more information on cloud by client, security issue will arise. This chapter presents a review on the mobile cloud computing concepts as well as security issues and vulnerabilities affecting Cloud Systems and the possible solutions available to such issues within the context of cloud computing. It also describes the pros and cons of the existing security strategy and also introduces the existing issues in cloud computing such as data integrity, data segregation, and security.

High Performance Computing on Mobile Devices

2016 ◽  
pp. 334-348
Author(s):  
Atta ur Rehman Khan ◽  
Abdul Nasir Khan
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Wide Range ◽  
Performance Computing

Mobile devices are gaining high popularity due to support for a wide range of applications. However, the mobile devices are resource constrained and many applications require high resources. To cater to this issue, the researchers envision usage of mobile cloud computing technology which offers high performance computing, execution of resource intensive applications, and energy efficiency. This chapter highlights importance of mobile devices, high performance applications, and the computing challenges of mobile devices. It also provides a brief introduction to mobile cloud computing technology, its architecture, types of mobile applications, computation offloading process, effective offloading challenges, and high performance computing application on mobile devises that are enabled by mobile cloud computing technology.

A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability

2016 ◽  
Vol 7 (1) ◽  
pp. 41-58 ◽  
Author(s):  
Khadija Akherfi ◽  
Hamid Harroud ◽  
Michael Gerndt
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Cloud Computing ◽  
Relevant Information ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Computing Power ◽  
Cloud Interoperability

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

Mobile Cloud Computing

2015 ◽  
pp. 1-23
Author(s):  
Jyoti Grover ◽  
Gaurav Kheterpal
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Applications ◽  
Large Scale ◽  
Mobile Cloud Computing ◽  
Research Area ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Mobile Environment

Mobile Cloud Computing (MCC) has become an important research area due to rapid growth of mobile applications and emergence of cloud computing. MCC refers to integration of cloud computing into a mobile environment. Cloud providers (e.g. Google, Amazon, and Salesforce) support mobile users by providing the required infrastructure (e.g. servers, networks, and storage), platforms, and software. Mobile devices are rapidly becoming a fundamental part of human lives and these enable users to access various mobile applications through remote servers using wireless networks. Traditional mobile device-based computing, data storage, and large-scale information processing is transferred to “cloud,” and therefore, requirement of mobile devices with high computing capability and resources are reduced. This chapter provides a survey of MCC including its definition, architecture, and applications. The authors discuss the issues in MCC, existing solutions, and approaches. They also touch upon the computation offloading mechanism for MCC.

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