Data Integrity and Performance Comparison of New Type- Based Proxy Re-encryption (TB-PRE) and Provable Data Possession (PDP) in Mobile Cloud Computing

2018 ◽  
Vol 6 (5) ◽  
pp. 1123-1128
Author(s):  
Ankit Chamoli ◽  
◽  
◽  
Anshika Goyal
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Data Integrity ◽  
Performance Comparison ◽  
Mobile Cloud ◽  
Provable Data Possession ◽  
New Type ◽  
And Performance

Modeling and performance analysis of cloudlet in Mobile Cloud Computing

2017 ◽  
Vol 107 ◽  
pp. 34-53 ◽  
Author(s):  
Hassan Raei ◽  
Nasser Yazdani ◽  
Reza Shojaee
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
And Performance

Data Integrity in Mobile Cloud Computing

2019 ◽  
pp. 1273-1300
Author(s):  
Abhishek Majumder ◽  
Samir Nath ◽  
Avijit Das
Keyword(s):  
Cloud Computing ◽  
Mobile Device ◽  
Mobile Cloud Computing ◽  
Data Integrity ◽  
Data File ◽  
Mobile Cloud ◽  
Cloud Environment ◽  
Integrity Checking ◽  
Data Owner ◽  
Trusted Data

With the help of cloud computing Mobile Cloud Computing (MCC) overcomes the limitations of a mobile device such as security, performance and environment. But, security of the data stored in the cloud is a very challenging issue. Since the cloud cannot be fully trusted, data stored in the cloud is not fully secured. Integrity of the stored data is very important for the data owner. Therefore, it is a big problem to maintain the integrity of the data stored in the cloud environment. This chapter discusses existing schemes for data integrity in the mobile cloud environment. In this chapter a scheme has been proposed for enhancing data integrity in Mobile Cloud Environment. To make integrity checking fast the size of the data file is used. It has also been shown that how fast the integrity loss can be detected if the file size is considered. Finally, the proposed scheme is compared with some of the existing scheme.

scholarly journals Novel Scheme for Enhancing Storage Management and Performance and Saving Energy of Mobile Cloud Computing

2019 ◽  
Vol 15 (5) ◽  
pp. 648-663
Author(s):  
Ali A. Yassin ◽  
Abdulla J. Yassin ◽  
Abdullah Mohammed Rashid ◽  
Ahmed A. Alkadhmawee
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Storage Management ◽  
Mobile Cloud ◽  
Saving Energy ◽  
And Performance

Agent-based provable data possession scheme for mobile cloud computing

2013 ◽  
Vol 33 (3) ◽  
pp. 743-747
Author(s):  
Jian YANG ◽  
Jian WANG ◽  
Haihang WANG ◽  
Dengqi YANG
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Agent Based ◽  
Provable Data Possession

A data integrity verification scheme in mobile cloud computing

2017 ◽  
Vol 77 ◽  
pp. 146-151 ◽  
Author(s):  
Chen Lin ◽  
Zhidong Shen ◽  
Qian Chen ◽  
Frederick T. Sheldon
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Data Integrity ◽  
Mobile Cloud ◽  
Verification Scheme ◽  
Integrity Verification

scholarly journals Toward Serverless and Efficient Encrypted Deduplication in Mobile Cloud Computing Environments

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Youngjoo Shin ◽  
Junbeom Hur ◽  
Dongyoung Koo ◽  
Joobeom Yun
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Deduplication ◽  
Collusion Resistance ◽  
Indexing Structure ◽  
Computing Environments ◽  
And Performance ◽  
Cloud Storage Services

With the proliferation of new mobile devices, mobile cloud computing technology has emerged to provide rich computing and storage functions for mobile users. The explosive growth of mobile data has led to an increased demand for solutions that conserve storage resources. Data deduplication is a promising technique that eliminates data redundancy for storage. For mobile cloud storage services, enabling the deduplication of encrypted data is of vital importance to reduce costs and preserve data confidentiality. However, recently proposed solutions for encrypted deduplication lack the desired level of security and efficiency. In this paper, we propose a novel scheme for serverless efficient encrypted deduplication (SEED) in mobile cloud computing environments. Without the aid of additional servers, SEED ensures confidentiality, data integrity, and collusion resistance for outsourced data. The absence of dedicated servers increases the effectiveness of SEED for mobile cloud storage services, in which user mobility is essential. In addition, noninteractive file encryption with the support of lazy encryption greatly reduces latency in the file-upload process. The proposed indexing structure (D-tree) supports the deduplication algorithm and thus makes SEED much more efficient and scalable. Security and performance analyses prove the efficiency and effectiveness of SEED for mobile cloud storage services.

Data Integrity in Mobile Cloud Computing

2018 ◽  
pp. 166-199
Author(s):  
Abhishek Majumder ◽  
Samir Nath ◽  
Avijit Das
Keyword(s):  
Cloud Computing ◽  
Mobile Device ◽  
Mobile Cloud Computing ◽  
Data Integrity ◽  
Data File ◽  
Mobile Cloud ◽  
Cloud Environment ◽  
Integrity Checking ◽  
Data Owner ◽  
Trusted Data

With the help of cloud computing Mobile Cloud Computing (MCC) overcomes the limitations of a mobile device such as security, performance and environment. But, security of the data stored in the cloud is a very challenging issue. Since the cloud cannot be fully trusted, data stored in the cloud is not fully secured. Integrity of the stored data is very important for the data owner. Therefore, it is a big problem to maintain the integrity of the data stored in the cloud environment. This chapter discusses existing schemes for data integrity in the mobile cloud environment. In this chapter a scheme has been proposed for enhancing data integrity in Mobile Cloud Environment. To make integrity checking fast the size of the data file is used. It has also been shown that how fast the integrity loss can be detected if the file size is considered. Finally, the proposed scheme is compared with some of the existing scheme.

scholarly journals A Mobile Cloud Computing Framework Integrating Multilevel Encoding for Performance Monitoring in Telerehabilitation

2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Saiyi Li ◽  
Hai Trieu Pham ◽  
M. Sajeewani Karunarathne ◽  
Yee Siong Lee ◽  
Samitha W. Ekanayake ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Performance Monitoring ◽  
Mobile Cloud Computing ◽  
Low Cost ◽  
Mobile Cloud ◽  
Human Beings ◽  
Encoding Scheme ◽  
Data Encoding ◽  
Remote Healthcare ◽  
And Performance

Recent years have witnessed a surge in telerehabilitation and remote healthcare systems blessed by the emerging low-cost wearable devices to monitor biological and biokinematic aspects of human beings. Although such telerehabilitation systems utilise cloud computing features and provide automatic biofeedback and performance evaluation, there are demands for overall optimisation to enable these systems to operate with low battery consumption and low computational power and even with weak or no network connections. This paper proposes a novel multilevel data encoding scheme satisfying these requirements in mobile cloud computing applications, particularly in the field of telerehabilitation. We introduce architecture for telerehabilitation platform utilising the proposed encoding scheme integrated with various types of sensors. The platform is usable not only for patients to experience telerehabilitation services but also for therapists to acquire essential support from analysis oriented decision support system (AODSS) for more thorough analysis and making further decisions on treatment.

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