Harnessing Encrypted Data in Cloud for Secure and Efficient Mobile Image Sharing

Cui, Helei; Yuan, Xingliang; Wang, Cong

doi:10.1109/tmc.2016.2595573

Cited by 21 publications

(7 citation statements)

References 33 publications

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“…7. From the figure it is clearly observed that the performance of proposed method is better of 15.2%, 12.8%, and 14.45% for image 1, 14.9%, 12.7%, and 14.7% for image 2, 15%, 12.77%, and 14.47% for image 3, and 15.43%, 13.8%, and 15.7% for image 4 when compared with Cui et al [17], Liao et al [21], Deepthi et al [22] research works. The analysis of encryption quality with various images is shown in Fig.…”

Section: Run Timementioning

confidence: 71%

“…From the figure it is observed that, the encryption quality of proposed method is 20.9%, 21.4%, 17.7% and 17.03% superior to Cui et al [17], 14.5%, 15.7%, 15.6% and 15.4% superior to Liao et al [21], 9.1%, 10.46%, 10.48% and 9.4% superior to Deepthi et al [22] techniques for various image sizes. Cui et al [17] Liao et al [21] Deepthi et al [22] proposed The execution time analysis of various images is shown in Fig. 9.…”

Section: Run Timementioning

confidence: 84%

“…Various research works have already existed in the literature, which depends on image scaling and cropping based on reduced cloud storage with different perspectives. Helei Cui et al [17] have exhibited a proficient and secure cloud-helped image sharing design for mobile devices and with privacy confirmation by utilizing the datasets reappropriated encrypted image. The main drawback of this method is to encrypting image by locating the candidates to develop a secure and efficient.…”

Section: Related Work: a Brief Reviewmentioning

confidence: 99%

“…This makes the system slow and attacker can easily do the cryptanalysis. "The important thing is the existing system is not fully homomorphic" [17].…”

Section: Background Of the Research Workmentioning

confidence: 99%

“…The performance measures like accuracy, sensitivity, specificity, encryption quality and run (execution) time are used to analyze the proposed method performance and compared with existing Cui et al [17], Liao et al [21], Deepthi et al [22] techniques. The experiments is done with various size of images like image 1(256x265), image 2 (512x512), image 3 (1024x1024), and image 4 (2048x2048).…”

Section: Performance Analysismentioning

confidence: 99%

See 4 more Smart Citations

XOR Reformed Paillier Encryption Method with Secure De-duplication for Image Scaling and Cropping in Reduced Cloud Storage

Singh¹,

Baburaj²

2019

IJIES

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In this modern world, most of people are using cloud computing due to its accessibility. Users are uploading plenty of images to the cloud every day. But still, data confidentiality is the major issue for the cloud storage. This paper proposes a new method of image encryption scheme with less storage in the cloud. The proposed method performs double encryption with de-duplication over the images for better security and also reduces the storage overhead problem using the scaling and cropping operation. In the first level, the modified Paillier encryption technique is used and an XOR encryption takes place in the second phase. After that, a secure block-level image de-duplication technique is performed to eliminate the identical images and protect the image confidentiality. The simulation result exhibits that the proposed encryption with secure de-duplication outperforms other state-of-art approaches with respect to the performance metrics like accuracy, sensitivity, specificity, encryption quality and runtime. In terms of accuracy, the performance of proposed method is better of 8.

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Section: Run Timementioning

confidence: 71%

Section: Run Timementioning

confidence: 84%

Section: Related Work: a Brief Reviewmentioning

confidence: 99%

“…This makes the system slow and attacker can easily do the cryptanalysis. "The important thing is the existing system is not fully homomorphic" [17].…”

Section: Background Of the Research Workmentioning

confidence: 99%