An Approach towards Efficient Ranked Search over Encrypted Cloud (original) (raw)
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IJERT-A Survey on Searching and Indexing on Encrypted Data
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/a-survey-on-searching-and-indexing-on-encrypted-data https://www.ijert.org/research/a-survey-on-searching-and-indexing-on-encrypted-data-IJERTV2IS100927.pdf As Cloud Computing is one of the biggest and trending technology, more and more Companies are outsourcing their databases on Cloud in order to lower the cost of maintaining hardware. But the biggest concern about Cloud is Security and Privacy. In order to solve this problem sensitive data is encrypted before outsourcing. Encryption solves the problem to some extent, however there is an overhead of searching on the Encrypted Data. This paper explores existing technique of searching over encrypted data
An Efficient Search Method over an Encrypted Cloud Data
Cloud data owners used to transfer data in an encrypted form for the purpose of privacy preserving. Therefore it is important to develop efficient & reliable cipher text search techniques. In encryption technique, the relation between the data is hidden, which make them to perform deterioration. In earlier days it was not possible to upload the encrypted data on the cloud. Now a days the number of internet users are increasing & day by day the number of data is also increasing. According to the growth of increasing number of data it is important to provide security to the cloud data. For providing security to the data on the cloud, it should be first converted into encrypted form before transferring it & it can be regain effectively. Along with this more additional features can also be provided with the search techniques like dynamic update operations. In this paper a hierarchical clustering method is used to support more search methods & also to complete the demand for fast cipher text search method for big data environments. For the huge number of users & the data in the cloud, it is important for the search method to include multi keyword query for arranging the comparison of ranking for the proper need of data regain search and not regularly famed the search results. In this system, the interesting problem of privacy preserving multi keywords ranked search over encrypted cloud data can be explain and solve. And also used to create strict privacy for safe cloud data application so that the system should be effected in real world.
E-ISSN: XXXX-XXXX Improve Search Efficiency of Encrypted Cloud Data
CLOUD computing is a new technique to provide and consume the services based on the Internet, by providing for virtualized resources as a service. This is provided over the network. To protect the privacy of the sensitive data, the data stored in the cloud have to be encrypted before outsourced to the commercial public cloud. In such case, the effective data utilization service is a very challenging task. The searchable encryption techniques already developed allow users to securely search over encrypted data through keywords, but the problem is that they support only Boolean search and are not yet sufficient to meet the effective data utilization. In existing system they have used a ranked search technique. The crypto primitive OPSE is developed, and derive an efficient one-to-many order preserving mapping function, which allows the effective RSSE to be designed. To improve the search accuracy of the ranked search, in proposed work we implement the nearest neighbour search technique in which we find Euclidean distance between two vectors.
Encryption on data in cloud environment
In this research paper, an encryption technique has been developed which consists of indexing and searching. The scheme does not need to inculcate the decryption steps, the users no longer need to decrypt the data during search operation. The proposed method makes the search operation more efficient and fast. Besides, it guarantees the protection and security of data.
A Survey on Searching and Indexing on Encrypted Data
2013
As Cloud Computing is one of the biggest and trending technology, more and more Companies are outsourcing their databases on Cloud in order to lower the cost of maintaining hardware. But the biggest concern about Cloud is Security and Privacy. In order to solve this problem sensitive data is encrypted before outsourcing. Encryption solves the problem to some extent, however there is an overhead of searching on the Encrypted Data. This paper explores existing technique of searching over encrypted data.
Cloud computing is most widely used as the next generation architecture of IT enterprises, that provide convenient remote access to data storage and application services. This cloud storage can potentially bring great economical savings for data owners and users, but due to wide concerns of data owners that their private data may be exposed or handled by cloud providers. Hence end-to-end encryption techniques and fuzzy fingerprint technique have been used as solutions for secure cloud data storage. In this project we use searchable encryption techniques, which allows encrypted data to be searched by users without leaking information about the data itself and user's queries. We build a secure searchable index, and develop a one to many order preserving mapping technique to protect those sensitive score information. The resulting design is able to facilitate efficient server side ranking without losing keyword privacy. Hence to avoid loose and loss of data, we use privacy preserving data-leak detection (DLD) solution to solve the issue where sensitive data digests is used in detection. The advantage of this method is that it enables the data owner to safely delegate the detection operation to a semi honest provider without revealing the sensitive data to the provider.In this project, we identify the challenges towards achieving privacy in searchable outsourced cloud data services and we use the DLD solution which helps to detect the leak data. This technique helps us to save securely our sensitive data in cloud storage and retrieve this data while we required without leaking our private data through Information Security and Secure Search over Encrypted Data in Cloud Storage Services.
Survey on Data Storage and Retrieval Techniques over Encrypted Cloud Data
Cloud Computing is an ever evolving field of technology. In the simplest terms, cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive. The cloud offers a variety of services. It reduces the complexity of the networks, makes provision for customization, scalability, efficiency etc. Besides, the information stored on cloud is generally not easily lost. Data stored on cloud is easily susceptible to leak by hackers. In order to prevent this, data is encrypted using Symmetric Searchable Encryption. In such a case, search over the encrypted data becomes difficult and can be executed using various keyword searches as Single, these keyword searches are explored on the basis of various parameters like security, efficiency, scalability, query effectiveness, architecture and functionality. The overview presented thus compares the different searches on the above mentioned grounds to classify them for various requirements. Sharing of data has become mandatory with the present trending technology overtaking all circumstances. Sharing of data stored in the cloud yields with many advantages. Hence, in this survey we also investigate the various aspects of data sharing on basis of user revocation, competency, encryption techniques, identity privacy and key distribution. Plutus, Sirius, Secure scalable data access scheme, improved proxy encryption and Multi-owner Data Sharing are briefed based on the above mentioned significant parameters.
MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2018
Cloud computing environment provides on-demand access to shared resources that can be managed with minimal interaction of cloud service provider and validated service to the user. Cloud storage can be either public or private. Data in the public storage can be viewed by all cloud users. The private data can be viewed by the authorized user only. This paper enhance the security of the cloud data using Advanced Encryption Standard (AES) encryption algorithm. Data owners are motivated to outsource their data in cloud servers for great convenience. Private data should be encrypted before outsourcing by using keys. Encryption is an important concept in cloud computing to maintain the database. Existing system maintained the database by providing password for files and documents. The proposed system provides keys to access the file and keys are maintained as private and keys are provided by the data owner. The paper focused ostrovsky scheme (private information retrieval) that allows a user to retrieve file without any information leakage. Experimental result are presented to test the security of AES algorithm and information leakage.
searching encrypted data on cloud
Encryption is an optimistic way to preserve the secrecy of the outsource data. On other hand, performing search operation on encrypted data is a complicated job. A lot of encryption techniques have been suggested by researchers to avoid improper usage of unstructured data on the cloud. But still by using the existing searchable encryption techniques, searching data on cloud server becomes difficult. In this paper, Data Encryption on cloud as well as corresponding security issues has been addressed. The proposed method incorporates two main phases: indexing and searching. Trapdoor and codeword are the two security parameters applicable in this technique. Simulated results demonstrate that it provides fast and efficient ranking sentence search for unstructured data in original documents on cloud server. The proposed technique reduces the overhead of decryption thereby minimizing the search time to a considerable extent.
Improving Search Efficiency of Encrypted Cloud Data
CLOUD computing is a new technique to provide and consume the services based on the Internet, by providing for virtualized resources as a service. This is provided over the network. To protect the privacy of the sensitive data, the data stored in the cloud have to be encrypted before outsourced to the commercial public cloud. In such case, the effective data utilization service is a very challenging task. The searchable encryption techniques already developed allow users to securely search over encrypted data through keywords, but the problem is that they support only Boolean search and are not yet sufficient to meet the effective data utilization. In existing system they have used a ranked search technique. The crypto primitive OPSE is developed and an efficient one-to-many order preserving mapping function is derived. It allows the effective RSSE to be designed. To improve the search accuracy of the ranked search, in proposed work we implement the nearest neighbour search technique in which we find Euclidean distance between two vectors.