Efficient and Empiric Keyword Search Using Cloud
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This document discusses efficient and empirical keyword search using cloud computing. It proposes a secure and reliable keyword search scheme across multiple clouds that allows users to search for files privately and reliably. The proposed system uses an iterative encryption approach to ensure file privacy even if multiple cloud servers collude. It implements a bloom filter tree index structure and integrity verification algorithm to securely search encrypted files across clouds and detect malicious servers. The system aims to provide an efficient and secure solution for keyword search on outsourced encrypted data stored in multiple cloud servers.
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 115
Output-6: Fetched data from AWS Cloud shell
3. CONCLUSIONS
In this, we propose a solid and certain keyword search conspire in different mists, which permits the information client to
perform catchphrase search in a safe, dependable, and unquestionable way. To begin with, we proposea solidanddependable
document appropriation conspire, which guarantees security throughiterativeencryptionanddependability bypresentingRS
deletion code innovation. Second, we plan a Bloom channel tree file structure and extend it to a multi cloud climate. Third, we
execute a viable trustworthiness confirmation calculation that can rapidly check the respectability of inquiry results and
recognize pernicious cloud servers. At long last, we do security investigation and exploratoryassessmenttocheck thesecurity
and viability of our plan. For the future work, first, we will investigate a quicker and more effective record dissemination
conspire that permits clients to bear lower reproduction costs. Second, we will stretch out the protected hunt plan to
accomplish fluffy question, positioning inquiry, and multi watchword question.
REFERENCES
[1]. Yunhong Zhou, Shihui Zheng, and Licheng Wang, "Privacy-Preserving and Efficient Public Key Encryption with Keyword
Search-Based CP-ABE in Cloud", 13 October 2020.
[2]. Qingji Zheng Shouhuai Xu Giuseppe Ateniese, "VABKS: Verifiable Attribute-based Keyword Search over Outsourced
Encrypted Data", the University of Texas at San Antonio, USA Sapienza University of Rome, ItalyandJohnsHopkins University,
USA.
[3]. Mrs. Zabiha Khan, Assistant Professor, Dept. of CSE, Ghousia College of Engineering, Karnataka, India, Ms. Kamala Kumari,
B. K, Rumana Iffath, Saima Ahmed, Zaiba Tabassum UG Students Ghousia College of Engineering, Ramanagaram, "Review of
Attribute-based Keyword Search AuthorizationinCloud",www.ijert.orgNConPCS -2017ConferenceProceedingsSpecial Issue
- 2017.
[4]. XINRUI GE, JIA YU, CHENGYU HU, HANLIN ZHANG, AND RONG HAO, 1. College of Computer Science and Technology,
Qingdao University, Qingdao 266071, China,"EnablingEfficientVerifiableFuzzyKeywordSearchOverEncryptedData inCloud
Computing", date of current version September 7, 2018.
[5]. Lincei, Chungen Xu, Lei Xiaoling Yu, and Cong Zuo, "VerifiableIdentity-BasedEncryption withKeyword SearchforIoTfrom
Lattice", Accepted: 24 February 2021.
[6]. Shangping Wang, Jian Ye, Yaling Zhang, China, "A keyword searchable attribute-based encryption scheme with attribute
update for cloud storage" May 24, 2018.](https://image.slidesharecdn.com/irjet-v9i617-221006113257-c568f5d9/85/Efficient-and-Empiric-Keyword-Search-Using-Cloud-4-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 116
[7]. Rui Zhang, Rui Xue, Ting Yuyz, and Ling Liux, "PVSAE: A Public Verifiable Searchable Encryption Service Framework for
Outsourced Encrypted Data", Qatar, Email: tyu@qf.org.qa College of Computing, Georgia Institute of Technology, Atlanta, GA,
USA, Email: lingliu@cc.gatech.edu.
[8]. A Shiny, Jayanth Das, M Venkat Aravind, C A Anirudh Srivatsaa, M Rahul, "Cloud Server Misbehavior Detection Using
Ranked Keyword Search Results Verification", International Journal of Engineering and Advanced Technology (IJEAT) ISSN:
2249 – 8958, Volume-8 Issue-4, April 2019.
[9]. R. SaiVenkata Siva Kumar, T.P.Anithaashri, "Enhancement Of Cloud Data Search Using Symmetric-KeyBasedVerification",
Chennai, anithaashritp.sse@saveetha.com, European Journal of Molecular & Clinical Medicine ISSN 2515-8260 Volume 07,
Issue 08, 2020.
[10]. Devi Thiyagarajan, R. Ganesan, "USER VERIFIABLE MULTIPLE KEYWORD SEARCH SCHEME USING THE MERKLE TREE
FOR OUTSOURCED DATA IN THE CLOUD", International Journal of Technology(2017) 4:591-600ISSN 2086-9614, (Received:
November 2015 / Revised: February 2017 / Accepted: July 2017).](https://image.slidesharecdn.com/irjet-v9i617-221006113257-c568f5d9/85/Efficient-and-Empiric-Keyword-Search-Using-Cloud-5-320.jpg)
Efficient and Empiric Keyword Search Using Cloud
- 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 112 Efficient and Empiric Keyword Search Using Cloud S.S. Swethapriyadarshni1, S.Swathi Priya2, P.Yuvarani3, K.Hemapriya4 1’2’3Panimalar Institute of Technology 4Assistant Professor, Dept. of Computer Science Engineering, Panimalar Institute of Technology, Chennai, TamilNadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Cloud is a Centralized Architecture Server, which serves as a platformforeveryuserofthecloudwanted tostoredata and sensitive information’s in safe secured storage space. The next logical stage in the growth of on-demand information technology services and products is cloud computing. Cloud computing will rely on virtualized resources to a considerable extent. Cloud computing allows IT skills to be reused, and it always includes current computing services such as distributed and grid computing. Users can perform a keyword-based search over encrypted material with searchable encryption. The majority of currently available searchable encryption systems arebasedonasinglecloudserverapproach, whichhassome drawbacks, such as a single point of failure and hostile insiders. The multi cloud server strategy, ontheother hand, providesmoredataavailabilityand security. However, transferring existing keyword search strategies to the multi cloud will result in higher storage and search expenses, with no discernible improvement in data security. In addition, unlike single cloud, a challenge in a multi cloud environment is how to adequately check query integrity when certain cloudserversreturninaccurateorincompletedata. Weoffer an iterative encryption approach to assure file privacy even if numerous cloud services collude with one another to ensure data security. Key Words: Cloud computing, Cloud Server, Encryption, Decryption, Multicloud, AES 1. INTRODUCTION Cloud computing has several attributes, blockchain,forwardapproach,andcryptosystem-basedapproachesareaccustomedto preserving security. The cloud infrastructurehasseveral characteristicsthey'reremotelyhosted,ubiquitous,andcommodified. Currently, several firms are delivering cloud services example Google, Microsoft, etc… Virtualization is an associate degree abstraction of execution of the cloud, so virtual machines are used. To preserve the info, the info is encrypted before outsourcing it to the cloud. Cloud sourcing is turning into a giant deal as a result of its high scale usage and has inexpensive suppliers. There are also problems concerning the policy and access that are overcome by the cloud organization. One of the main challenges of the cloud is the constant net throughout the storage of information. Cloud Computing is the sought-after network access split pool organized computing riches. 1.1 SCOPE OF THE PROJECT With searchable encryption, users can do a keyword-based search across encrypted material. The bulk of searchable encryption solutions currently available are based on a single cloud server architecture, whichhasseveral disadvantagessuch as a single point of failure and hostile insiders. The use of several cloud servers, on the other hand, increases data availability and security. Transferring existing keyword search strategies to the multicloud, on the other hand, will increase storage and search costs while providing no noticeable improvement in data security. One of these services is Amazon Elastic Compute Cloud (EC2), which allows users to have a virtual cluster of computers available at all times through the Internet. On AWS, virtual computers have hardware central processing units (CPUs) and graphics processingunits(GPUs)forprocessing,aswell as local/RAM memory, hard disk/SSD storage, a choice of operating systems, networking,andpre-loadedapplicationsoftware such as web servers, databases, and customer relationship management (CRM). The project's goal is to integrate keyword search across various clouds so that users can quickly locate a specific file or data, and to prevent the involvement of third parties so that data is secure and protected. 1.2 EXISTING SYSTEM Without needing to learn the plaintexts, searchable encryption allows a cloud server toconductkeywordsearches onbehalfof data users over encrypted data. The majority of currently available searchable encryption systems, on the other hand, only support single or conjunctive keyword searches, and the few schemes that can perform expressive keyword searches are computationally inefficient because they are built from bilinear pairings over composite-order groups. In existingsystems,an expressive public-key searchable encryption technique in the prime-order groups outperforms existingschemessignificantly by allowing keyword search rules to be defined in conjunctive, disjunctive, or any monotonic Boolean formulas. When a user
- 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 113 obtains data from a concerned person via the internet, unknown or invalidusersmaygainaccesstothedata stored ona central server or database. It could result in data being lost or altered by a third party. Most existing PEKS methods, regardless of search authorisation, focus on data consumers'richsearchfunctionalities.Theframework allowsclientstosendencrypteddata to the cloud, allows users to search for documents using different keywords, and allows them to check the server's response. 2. PROPOSED SYSTEM Encrypting a file, then making n copies of it, and distributing the n copies to n cloud servers is astraightforward filedistribution solution in numerous clouds. Userscan still retrieve the fileeven if (n-1)cloudserversareofflineinthissituation,indicatingthat this distribution mechanism is highly reliable. The cloud server is merely aware that if it engages in unethical behavior, it will almost certainly be discovered. The suggested design reduces storage overhead on both the client and user sides. The retrieval timelowers as the number of documents increases, cuttingstorage costs forboth parties. However,thismethodnecessitatesan excessive amount of storageoverhead. Furthermore,becauseeachcloudserverhasaccesstotheentireencryptedfile,webuilda secureand reliable file distribution strategy in various clouds to strike a better balance between storageoverhead,privacy,and reliability. We present an iterative encryption strategy inspired by the two-layer encryption scheme to preserve the privacy of data files even if numerous cloud serversstart a collusionattackatthesametime.Inthissystem,userscanalsoproducea unique code to gain access to a record from an authorized individual. It will provide users with a safe access method as well as protect unknown individuals from dangerous activities. Output-1: User login page Output-2: Registration page
- 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 114 Output-3: Keyword Searching page Output-4: Response page Output-5: AWS Cloud shell
- 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 115 Output-6: Fetched data from AWS Cloud shell 3. CONCLUSIONS In this, we propose a solid and certain keyword search conspire in different mists, which permits the information client to perform catchphrase search in a safe, dependable, and unquestionable way. To begin with, we proposea solidanddependable document appropriation conspire, which guarantees security throughiterativeencryptionanddependability bypresentingRS deletion code innovation. Second, we plan a Bloom channel tree file structure and extend it to a multi cloud climate. Third, we execute a viable trustworthiness confirmation calculation that can rapidly check the respectability of inquiry results and recognize pernicious cloud servers. At long last, we do security investigation and exploratoryassessmenttocheck thesecurity and viability of our plan. For the future work, first, we will investigate a quicker and more effective record dissemination conspire that permits clients to bear lower reproduction costs. Second, we will stretch out the protected hunt plan to accomplish fluffy question, positioning inquiry, and multi watchword question. REFERENCES [1]. Yunhong Zhou, Shihui Zheng, and Licheng Wang, "Privacy-Preserving and Efficient Public Key Encryption with Keyword Search-Based CP-ABE in Cloud", 13 October 2020. [2]. Qingji Zheng Shouhuai Xu Giuseppe Ateniese, "VABKS: Verifiable Attribute-based Keyword Search over Outsourced Encrypted Data", the University of Texas at San Antonio, USA Sapienza University of Rome, ItalyandJohnsHopkins University, USA. [3]. Mrs. Zabiha Khan, Assistant Professor, Dept. of CSE, Ghousia College of Engineering, Karnataka, India, Ms. Kamala Kumari, B. K, Rumana Iffath, Saima Ahmed, Zaiba Tabassum UG Students Ghousia College of Engineering, Ramanagaram, "Review of Attribute-based Keyword Search AuthorizationinCloud",www.ijert.orgNConPCS -2017ConferenceProceedingsSpecial Issue - 2017. [4]. XINRUI GE, JIA YU, CHENGYU HU, HANLIN ZHANG, AND RONG HAO, 1. College of Computer Science and Technology, Qingdao University, Qingdao 266071, China,"EnablingEfficientVerifiableFuzzyKeywordSearchOverEncryptedData inCloud Computing", date of current version September 7, 2018. [5]. Lincei, Chungen Xu, Lei Xiaoling Yu, and Cong Zuo, "VerifiableIdentity-BasedEncryption withKeyword SearchforIoTfrom Lattice", Accepted: 24 February 2021. [6]. Shangping Wang, Jian Ye, Yaling Zhang, China, "A keyword searchable attribute-based encryption scheme with attribute update for cloud storage" May 24, 2018.
- 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 06 | June 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 116 [7]. Rui Zhang, Rui Xue, Ting Yuyz, and Ling Liux, "PVSAE: A Public Verifiable Searchable Encryption Service Framework for Outsourced Encrypted Data", Qatar, Email: [email protected] College of Computing, Georgia Institute of Technology, Atlanta, GA, USA, Email: [email protected]. [8]. A Shiny, Jayanth Das, M Venkat Aravind, C A Anirudh Srivatsaa, M Rahul, "Cloud Server Misbehavior Detection Using Ranked Keyword Search Results Verification", International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-4, April 2019. [9]. R. SaiVenkata Siva Kumar, T.P.Anithaashri, "Enhancement Of Cloud Data Search Using Symmetric-KeyBasedVerification", Chennai, [email protected], European Journal of Molecular & Clinical Medicine ISSN 2515-8260 Volume 07, Issue 08, 2020. [10]. Devi Thiyagarajan, R. Ganesan, "USER VERIFIABLE MULTIPLE KEYWORD SEARCH SCHEME USING THE MERKLE TREE FOR OUTSOURCED DATA IN THE CLOUD", International Journal of Technology(2017) 4:591-600ISSN 2086-9614, (Received: November 2015 / Revised: February 2017 / Accepted: July 2017).