scholarly journals Secure Framework in Data Processing for Mobile Cloud Computing

2015 ◽  
pp. 16-19
Author(s):  
MR.ANAND SURENDRA SHIMPI ◽  
MR.R. P. CHANDER
Keyword(s):  
Data Processing ◽  
Trust Management ◽  
Cloud Storage ◽  
Ad Hoc ◽  
Driving Safety ◽  
Mobile Cloud ◽  
Cloud Data ◽  
Cloud Storage Service ◽  
Health Related ◽  
Secure Framework

Generally Mobile Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users ‘physical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a new secure framework. In addition to providing traditional computation services, mobile cloud also enhances the operation of traditional ad hoc network by treating mobile devices as service nodes, e.g., sensing services. The mobile services or sensed information, such as location coordinates, health related information, should be processed and stored in a secure fashion to protect user’s privacy in the cloud. In this paper, we present a new mobile cloud data processing framework through trust management and private data isolation. Finally, an implementation pilot for improving teenagers’ driving safety, which is called FocusDrive, is presented to demonstrate the solution.

scholarly journals SECURE FRAMEWORK IN DATA PROCESSING FOR MOBILE CLOUD COMPUTING

2013 ◽  
pp. 106-109
Author(s):  
MR.ANAND SURENDRA SHIMPI ◽  
R.P. CHANDER
Keyword(s):  
Data Processing ◽  
Trust Management ◽  
Cloud Storage ◽  
Ad Hoc ◽  
Driving Safety ◽  
Mobile Cloud ◽  
Cloud Data ◽  
Cloud Storage Service ◽  
Health Related ◽  
Secure Framework

Generally Mobile Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users ‘physical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a new secure framework. In addition to providing traditional computation services, mobile cloud also enhances the operation of traditional ad hoc network by treating mobile devices as service nodes, e.g., sensing services. The mobile services or sensed information, such as location coordinates, health related information, should be processed and stored in a secure fashion to protect user’s privacy in the cloud. In this paper, we present a new mobile cloud data processing framework through trust management and private data isolation. Finally, an implementation pilot for improving teenagers’ driving safety, which is called FocusDrive, is presented to demonstrate the solution.

scholarly journals Hierarchical remote data possession checking method based on massive cloud files

2016 ◽  
Vol 11 (2) ◽  
pp. 126-134
Author(s):  
Ma Haifeng ◽  
Gao Zhenguo ◽  
Yao Nianmin
Keyword(s):  
Cloud Storage ◽  
False Negative ◽  
False Negative Rate ◽  
Data Integrity ◽  
Communication Overhead ◽  
Local Data ◽  
Cloud Data ◽  
Cloud Storage Service ◽  
Integrity Protection ◽  
Remote Data

Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32–81% improvement in performance compared with RDPC.

scholarly journals DDEAS: Distributed Deduplication System with Efficient Access in Cloud Data Storage

2019 ◽  
Vol 9 (2) ◽  
pp. 1943-1949
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Service Providers ◽  
Similar Data ◽  
Data Set ◽  
Cloud Data ◽  
Network Bandwidth ◽  
File Access ◽  
Cloud Storage Service ◽  
Cloud Data Storage

Cloud storage service is one of the vital function of cloud computing that helps cloud users to outsource a massive volume of data without upgrading their devices. However, cloud data storage offered by Cloud Service Providers (CSPs) faces data redundancy problems. The data de-duplication technique aims to eliminate redundant data segments and keeps a single instance of the data set, even if similar data set is owned by any number of users. Since data blocks are distributed among the multiple individual servers, the user needs to download each block of the file before reconstructing the file, which reduces the system efficiency. We propose a server level data recover module in the cloud storage system to improve file access efficiency and reduce network bandwidth utilization time. In the proposed method, erasure coding is used to store blocks in distributed cloud storage and The MD5 (Message Digest 5) is used for data integrity. Executing recover algorithm helps user to directly fetch the file without downloading each block from the cloud servers. The proposed scheme improves the time efficiency of the system and quick access ability to the stored data. Thus consumes less network bandwidth and reduces user processing overhead while data file is downloading.

scholarly journals METHOD TO ACHIEVE SECURITY AND STORAGE SERVICES IN CLOUD COMPUTING

2013 ◽  
pp. 10-13
Author(s):  
SYED SADDAM HUSSAIN ◽  
R.VINOD KUMAR
Keyword(s):  
Cloud Storage ◽  
Distributed Storage ◽  
Security Risks ◽  
Cloud Data ◽  
Outsourced Data ◽  
Cloud Storage Service ◽  
Byzantine Failure ◽  
Storage Correctness ◽  
Cloud Applications ◽  
And Storage

Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users ‘physical possession of their outsourced data, which inevitably poses new security risks toward the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphism token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks)

scholarly journals Research on Manhattan Distance Based Trust Management in Vehicular Ad Hoc Network

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaodong Zhang ◽  
Ru Li ◽  
Wenhan Hou ◽  
Jinshan Shi
Keyword(s):  
Ad Hoc Network ◽  
Trust Management ◽  
Ad Hoc ◽  
Vehicular Ad Hoc Network ◽  
Driving Safety ◽  
Manhattan Distance ◽  
Reference Ranges ◽  
Dijkstra Algorithm ◽  
Maximum Probability ◽  
Event Location

In recent years, Vehicular Ad Hoc Network (VANET) has developed significantly. Coordination between vehicles can enhance driving safety and improve traffic efficiency. Due to the high dynamic characteristic of VANET, security has become one of the challenging problems. Trust of the message is a key element of security in VANET. This paper proposes a Manhattan Distance Based Trust Management model (MDBTM) in VANET environment which solves the problem in existing trust management research that considers the distance between the sending vehicle and event location. In this model, the Manhattan distance and the number of building obstacles are calculated by considering the movement relationship between the sending vehicle and event location. The Dijkstra algorithm is used to predict the path with the maximum probability, when the vehicle is driving toward the event location. The message scores are then calculated based on the Manhattan distance and the number of building obstacles. Finally, the scores are fused to determine whether to trust the message. The experimental results show that the proposed method has better performance than similar methods in terms of correct decision probability under different proportions of malicious vehicles, different numbers of vehicles, and different reference ranges.

scholarly journals Cloud Data Storage using Attribute based Encryption with Verifiable Outsourcing Auditor Security Schemes

2019 ◽  
Vol 8 (2S11) ◽  
pp. 133-138
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Service Providers ◽  
Government Control ◽  
Cloud Data ◽  
Attribute Based Encryption ◽  
Cloud Storage Service ◽  
Confidential Data ◽  
Cloud Data Storage ◽  
And Storage

Cloud storage services turned out to be continuously elegant. Owing to the implication of security, a few cloud storage secret composing schemes are anticipated to monitor data from those that don't approach. Every single such plan accepted that cloud storage providers region unit safe and can't be hacked; at the same time, in pursue, a few experts may drive cloud storage providers to uncover client insider facts or confidential data on the cloud, hence by and large going around storage mystery composing schemes. Amid this paper, we tend to bless our style for a pristine cloud storage mystery composing subject that permits cloud storage providers to make persuading false client privileged insights to protect client security. Since coercers can't reveal whenever acquired insider facts zone unit genuine or not, the cloud storage providers ensure that client security keeps on being immovably secured. The vast majority of the anticipated schemes expect cloud storage service providers or dependable outsiders taking care of key administration square measure solid and can't be hacked; nonetheless, in pursue, a few substances would conceivably capture interchanges among clients and cloud storage providers at that point urge storage providers to unfasten client privileged insights by misuse government control or diverse proposes that. All through this case, scrambled information square measure thought to be known and storage provider's square measure asked for to unfasten client insider facts

scholarly journals Scalability of Mobile Cloud Storage

2021 ◽  
Vol 15 (21) ◽  
pp. 199
Author(s):  
Nur Syahela Hussien ◽  
Sarina Sulaiman ◽  
Abdulaziz Aborujilah ◽  
Merlinda Wibowo ◽  
Hussein Samma
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Storage Management ◽  
Management Systems ◽  
Mobile Cloud ◽  
Data Management Systems ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Stable Performance ◽  
Access To Data

<span>Today, there are high demands on Mobile Cloud Storage (MCS) services that need to manage the increasing number of works with stable performance. This situation brings a challenge for data management systems because when the number of works increased MCS needs to manage the data wisely to avoid latency occur. If latency occurs it will slow down the data performance and it should avoid that problem when using MCS. Moreover, MCS should provide users access to data faster and correctly. Hence, the research focuses on the scalability of mobile cloud data storage management, which is study the scalable on how deep the data folder itself that increase the number of works.</span>

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