Homomorphic encryption in mobile multi cloud computing

Louk, Maya Hilda Lestari; Lim, Hyotaek

doi:10.1109/icoin.2015.7057954

Cited by 31 publications

(13 citation statements)

References 11 publications

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“…Homomorphic encryption is a form of encryption that allows computation on ciphertext, generating an encrypted result which decrypted, matches the result of the operations as if they had been performed on the plaintext. [8].…”

Section: Related Workmentioning

confidence: 99%

“…Data Confidentiality [8] Security of data storage In this framework, homomorphic encryption is used to provide security. Data Confidentiality [9] Block based sharing scheme (BSS) In this technique, security operations of mobile device side include reasonably partitioning data into numerous chunks, apply encryption and decryption and reorganization to make the actual form.…”

Section: Comparative Analysismentioning

confidence: 99%

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Data Security in Mobile Cloud Computing: A State of the Art Review

Qayyum¹,

Ejaz²

2020

IJMECS

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Due to tremendous use of smartphones the concern of cloud computing in mobile devices emerges, which is known as Mobile Cloud Computing (MCC). It involves the usage of mobile devices and cloud computing to perform resource intensive tasks using the internet with minimum impact on cellular resources. Nowadays, people are relying on mobile devices due to their small size and user friendly interface but due to its limited storage capacity, people can no more rely on internal RAM. Therefore, this promotes a drastic need for technology to make it possible for anyone to access their data anywhere anytime. As a result, Mobile Cloud Computing facilitates mobile users with its enticing technology by providing its on-demand and scalable services. But privacy and security are the main concern for a mobile user in the modern era. Thus, issues regarding security can be divided into cloud security and mobile network user's security, respectively. However, the primary focus of this study is to analyze how to secure the user's data in a mobile cloud. Leading to objectives, the current study presents a comprehensive analysis of existing techniques that can be considered for securing data in MCC efficiently. Moreover, this work will contribute a state-of-the-art roadmap to research and development communities for the right selection of proposed approach.

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Section: Related Workmentioning

confidence: 99%

Section: Comparative Analysismentioning

confidence: 99%

Data Security in Mobile Cloud Computing: A State of the Art Review

Qayyum¹,

Ejaz²

2020

IJMECS

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“…Homomorphic encryption schemes overcome these limitations by allowing a cloud service provider to perform certain computable functions on the encrypted data while preserving the features of the function and format of the encrypted data (Acar et al 2018). Louk and Lim (2015) proposed a homomorphic data security encryption scheme that converted data into ciphertext and manipulated the ciphertext just like the original text without compromising the encryption. There are a variety of different homographic encryption types, for example multiplicative, additive and fully homomorphic, all of which have been applied to secure communication and storage in the cloud (Tebaa and Hajji 2014).…”

Section: Executionmentioning

confidence: 99%

Trustworthy Cloud Computing

Alofe

Fatema

2020

Palgrave Studies in Digital Business &Amp; Enabling Technologies

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Trustworthy cloud computing has been a central tenet of the European Union cloud strategy for nearly a decade. This chapter discusses the origins of trustworthy computing and specifically how the goals of trustworthy computing—security and privacy, reliability, and business integrity—are represented in computer science research. We call for further inter- and multi-disciplinary research on trustworthy cloud computing that reflect a more holistic view of trust.

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“…In [78], the authors used homomorphic encryption, multicloud computing and mobile. They used multiple cloud schemes for storing the data to avoid data lock in and used homomorphic encryption to run computations without downloading the data back and forth between cloud computing and mobile to avoid the communication costs.…”

Section: B Mobile Cloud Computingmentioning

confidence: 99%

Data Security, Privacy, Availability and Integrity in Cloud Computing: Issues and Current Solutions

Aldossary¹,

Allen²

2016

ijacsa

110

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Abstract-Cloud computing changed the world around us. Now people are moving their data to the cloud since data is getting bigger and needs to be accessible from many devices. Therefore, storing the data on the cloud becomes a norm. However, there are many issues that counter data stored in the cloud starting from virtual machine which is the mean to share resources in cloud and ending on cloud storage itself issues. In this paper, we present those issues that are preventing people from adopting the cloud and give a survey on solutions that have been done to minimize risks of these issues. For example, the data stored in the cloud needs to be confidential, preserving integrity and available. Moreover, sharing the data stored in the cloud among many users is still an issue since the cloud service provider is untrustworthy to manage authentication and authorization. In this paper, we list issues related to data stored in cloud storage and solutions to those issues which differ from other papers which focus on cloud as general.

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Homomorphic encryption in mobile multi cloud computing

Cited by 31 publications

References 11 publications

Data Security in Mobile Cloud Computing: A State of the Art Review

Data Security in Mobile Cloud Computing: A State of the Art Review

Trustworthy Cloud Computing

Data Security, Privacy, Availability and Integrity in Cloud Computing: Issues and Current Solutions

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