Confidentiality-preserving rank-ordered search

Swaminathan, Ashwin; Mao, Yinian; Su, Guan‐Ming; Gou, Hongmei; Varna, Avinash L.; He, Shan; Wu, Min; Oard, Douglas W.

doi:10.1145/1314313.1314316

Cited by 141 publications

(85 citation statements)

References 6 publications

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“…The computational cost of decrypting the data was wisely reduced. The author in [9] authorized data privacy systems. They defined t algorithms which depicts searching efficiency and privacy of the query.…”

Section: Related Workmentioning

confidence: 99%

Grsm: Secure Geometric Range Search Over Encrypted Spatial Data

C.G¹

2017

IJRET

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Nowadays, outsourcing the data to the cloud server is a natural activity auctioned by several cloud users. The outsourced data may contain sensitive information. The cloud technologies are very much improved that attracts many Location based Services (LBS) companies. The overall theme of the cloud data resides at the distant server is to be managed with minimal computation by data owner and data users. The data is hived away in encrypted form to prevent anonymity activities. Reachability is one of the issues faced between cloud users and LBS companies. A novel and lightweight scheme, named, Geometric

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Section: Related Workmentioning

confidence: 99%

Grsm: Secure Geometric Range Search Over Encrypted Spatial Data

C.G¹

2017

IJRET

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“…All these schemes do not provide any relevance of the documents in their search results. Although [6,25] provides a methodology to perform relevant searches over encrypted data, both of them fall in the category of static (SSSE) scheme.…”

Section: }))mentioning

confidence: 99%

“…Swaminathan et al [25] propose confidentially preserving rank order search. Their paper looks at practically building a ranking system into a secure index based search scheme.…”

Section: Related Kmentioning

confidence: 99%

Q-gram Based Encrypted Codeword Dictionary for Fast Searches Over a Large Collection of Encrypted Unstructured Documents

Khan

2015

MJCS

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INTRODUCTIONThe explosive growth of cloud computing provides many organizations a way of storing their information in the clouds and utilizing the cheap computing resources effectively. Many businesses want to ensurethat information stored in clouds remains confidential and not easily accessible to non-privileged users. The preference is to store the encrypted unstructured documents over the cloud. The businesses also want to run searches on encrypted unstructured document databases in a fast and effective manner, is an active area of research among the researchers.In the literature, searchable symmetric encryption [14] is a helpful technique that allows the user to perform queries over the encrypted documents. However, a faster search over a large collection of encrypted unstructured documents is not possible. There are two high-level approaches to design reasonably efficient and secure schemes using the searchable symmetric encryption; dynamic and static. In Dynamic Searchable Symmetric Encryption (DSSE) [14,15,18,19,20,24], encrypted keyword searches should be supported even after the documents are randomly inserted or deleted from the collections. In this approach, one of the first notable papers by Goh presented an algorithm for a document index construction based on the secure word [1,2,15]. Goh also presented a technique to perform searches on these secure word indexes without having to decrypt the complete document. This scheme provides linear time search over a document collection.The second approach is Static Searchable Symmetric Encryption (SSSE) [16,17,22,23], work on static data i.e., there is a setup phase that produces an encrypted index for a set of collection of documents and after that phase no insertion or deletion of documents is supported. In static approach, first notable paper by Curtmola et al. [17]

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“…Images are different from text. Only recently, secure text document search in the encrypted domain [8], [9] has been extended to secure multimedia data search [10], [11]. Although traditional cryptosystems may be used to encrypt images directly, it is not a good idea for two reasons.…”

Section: Figure1: Security Is a Big Issue In Cloud Computing [6]-[7]mentioning

confidence: 99%

Securing Images in Cloud using Hyper Chaos with User Authentication

Ayyub¹,

Kaushik²

2015

IJCA

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Security in the cloud is the top most concern. To achieve trust and preserve the privacy of data stored in third-party cloud storage has emerged as a key research area. To achieve this, several different techniques have been proposed based on cryptography. Secret sharing schemes and chaos based encryption have also been considered to address these issues of trust and privacy by various researchers. In this paper, we are proposing a new scheme to encrypt the private and sensitive images of users in the third party storage named as "Securing images in cloud using hyper chaos with user authentication" to solve the problem of authenticating users. Chaos based encryption with image captcha authentication using VCS is a major advantage of this scheme. Chaos based encryption is a very secure method for encryption. Many researchers have used the above technique but user authentication or authorization is not mentioned in their schemes. To increase more security we have included the authentication in the scheme. In this paper the authentication process is explored in depth and only the overview of encryption process is given. For securing the authentication logistic map is used to divide and shuffle the original image captcha into many blocks. The use of visual cryptography technique is explored to preserve the privacy of image captcha. Part of the image share will be kept with the image owner such that the original image captcha can be revealed only when both (user, owner) of the shares are simultaneously available. The individual share images do not reveal the identity of the original image captcha. Once the original image captcha is revealed after merging different shares, the user will be considered as authenticated user. Then only the encrypted key for the images will be transferred to the user. Dynamically generating the Captcha image by the system is one of the major advantage of the system.

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Confidentiality-preserving rank-ordered search

Cited by 141 publications

References 6 publications

Grsm: Secure Geometric Range Search Over Encrypted Spatial Data

Grsm: Secure Geometric Range Search Over Encrypted Spatial Data

Q-gram Based Encrypted Codeword Dictionary for Fast Searches Over a Large Collection of Encrypted Unstructured Documents

Securing Images in Cloud using Hyper Chaos with User Authentication

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