CloudStash: Using Secret-Sharing Scheme to Secure Data, Not Keys, in Multi-clouds

Alsolami, Fahad; Boult, Terrance E.

doi:10.1109/itng.2014.119

Cited by 18 publications

(13 citation statements)

References 19 publications

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“…Alsolami, Fahad, and Terrance E. Boult [14], they proposed the CloudStash scheme, a system that applied the secret-sharing scheme directly on the file to store multi-shares of a file into multi-clouds. CloudStash utilizes secret-sharing, low cost cloud storages and multi-threading to improve confidentiality, availability, performance and fault tolerance.…”

Section: Related Workmentioning

confidence: 99%

Secure Distributed Data using Multi-Cloud

Saleh*,

Mustafa Al-Ta'i,

Mahmood

2020

IJITEE

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Abstract: Abstract‫ــــ‬Implementing cloud computing provides many paths for web-based service. But, data security and privacy requirement become an important problem that limits several cloud applications. One of the key security and privacy concerns is the fact that cloud service suppliers have access to data. This concern greatly reduces the usability of cloud computing in many areas, such as financial business and government agencies. This paper focuses on this important issue and suggests a new approach, so cloud providers cannot directly access data. The proposed approach is divided into two sides: upload side and download side. In upload side, there is three stages, at the first stage; the transmitted file is splitted and then encrypted in order to achieve the data security requirement. At the second stage, the splitted data are integrity checked by MD5 algorithm, in order to achieve integrity requirement. At the third stage, the checked splitted data are stored separately in three -clouds, in order to achieve distribution requirement. In download side, also there is three stages. At the first stage, the data is retrieved from the three-clouds. At the second stage, data integrity is performed using MD5. At the third stage, data decryption and merging are done. The proposed approach is successfully implemented on (25 KB) image. The proposed model is successfully implemented in uploading side dependent on shares3 because provide high security with total time of (8.144 sec), and in downloading side with total side of (9.42).

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Section: Related Workmentioning

confidence: 99%

Secure Distributed Data using Multi-Cloud

Saleh*,

Mustafa Al-Ta'i,

Mahmood

2020

IJITEE

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“…Encryption and fragmentation techniques offer secure ways to protect data from hackers. Researchers in [6] proposed a cloud stash to split data to multi shares, where threshold shares are required to reconstruct the file. They used multithreading to manage secret sharing in to multiple clouds.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There are many ways to protect data, such as hiding identities of communication parties; however, still let them authenticate each other, encryption and authentication [5]. Moreover, as managing and protecting key is a problem, authors in [6] propose a cloud stash, which splits the files to multi shares, and send it to multiple clouds where the files are reconstructed by the threshold. Whereas, authors in [7] propose a threshold scheme to divide the data in a number of pieces in such a way that the individual pieces do not reveal any information about the data.…”

Section: Introductionmentioning

confidence: 99%

Data Encryption and Fragmentation in Autonomous Vehicles Using Raspberry Pi 3

Murad

shaiaeles

Khan

et al. 2019

2019 IEEE World Congress on Services (SERVICES)

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Autonomous vehicles have huge potential in improving road safety and congestion. Towards the road map of full autonomy, each vehicle will be able to communicate with other vehicles within the network of vehicles to improve congestion and notify emergencies. Many architectures for communication between vehicles are centralised, typically using cloud servers. The security and trust of that communication is paramount. Therefore, the aim of this paper is to propose a novel method for encrypting and fragmenting data in various cloud providers in order to protect the anonymity and increase the uncertainty for an attacker having access to the data on cloud. Our experimental results seem promising and we were able to achieve good results with low overhead in transmission.

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“…Cloudstash [10] applies the secret-sharing scheme directly on the file that spit into multiple shares of secret and then distributed them into multiple clouds simultaneously where shares are required to reconstruct the file. The InterCloud [11] system works by using symmetric encryption on the data and spitting the key into shares using secret sharing scheme.…”

Section: Related Workmentioning

confidence: 99%

“…Although, there are some researchs using the threshold cryptography to provide security for key stored on cloud [10][11][12][13][14], there are no researches attempting to find a suitable threshold for any number of shares distributed. The objective of this paper is, therefore to design and implement a method that is able to assist in finding such values.…”

Section: Introductionmentioning

confidence: 99%

Finding the Optimal Value for Threshold Cryptography on Cloud Computing

Janratchakool

Boonkrong

Smanchat

2016

IJECE

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The objective of using threshold cryptography on cloud environment is to protect the keys, which are the most important elements in cryptographic systems. Threshold cryptography works by dividing the private key to a number of shares, according to the number of virtual machines, then distributing them each share to each virtual machine. In order to generate the key back, not all the shares are needed. Howerver, the problem is that there has been no research attemping to find a suitable threshold value for key reconstruction. Therefore, this paper presented a guildline designed and implemented that can assist to choose such value. The experiment was setup using CloudSim to simulate cloud environment and collecting time taken in key distribution and key reconstruction process to achieve the optimal threshold value.

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CloudStash: Using Secret-Sharing Scheme to Secure Data, Not Keys, in Multi-clouds

Cited by 18 publications

References 19 publications

Secure Distributed Data using Multi-Cloud

Secure Distributed Data using Multi-Cloud

Data Encryption and Fragmentation in Autonomous Vehicles Using Raspberry Pi 3

Finding the Optimal Value for Threshold Cryptography on Cloud Computing

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