IRJET- Adaptable Wildcard Searchable Encryption System

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4008
Adaptable Wildcard Searchable Encryption System
Savi P. Ghadge1, Yogesh A. Patil2, Shivani K. Wankhede3, Guided by Ms. Pradnya Kasture4
1,2,3Student,Department of Computer Engineering RMD Sinhgad School of Engineering Pune , India
4Assistant Professor,Department of Computer Engineering RMD Sinhgad School of Engineering Pune, India
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Abstract - Searchable Encryption is a cryptographic
technique which allows search of data in an encryptedformat.
This technique provides user dataconfidentiality insurancefor
public cloud storage service as well as allows multiple
keyword search over encrypted data. Previously existing
systems provide exact or fuzzy keyword search which corrects
spelling errors only and their features are limited. In this
paper, we propose a system known as adaptable wildcard
searchable encryption system which allows multiple keyword
search with auto generated wildcards and wildcard keyword
queries with additional features. In the proposedframeworka
proxy server is presented for the recovery of lost data over
malicious activities. It accomplishes a high level of security
assurance since coordinating outcomes are obscure to the
cloud server in the test stage.
Key Words: Searchable Encryption, Multiple keyword
search, Auto generated wildcard search, Security
assurance.
1. INTRODUCTION
Cloud computing greatly facilitates data providers who
want to outsource their data to the cloud without disclosing
their sensitive data to external parties and would like users
with certain credentials to be able to access the data. This
requires data to be stored in encrypted forms with access
control policies such that no one exceptuserswithattributes
(or credentials) of speciﬁc forms can decrypt the encrypted
data. An encryption techniquethatmeetsthisrequirementis
required, where a users private key is associated with an
attribute set, a message is encrypted under an access policy
(or access structure) over a set of attributes, and a user can
decrypt a cipher text with his/her private key if his/her set
of attributes satisﬁes the access policy associated with this
cipher text. However, the standard ABE system fails to
achieve secure deduplication, which is a technique to save
storage space and network bandwidth by eliminating
redundant copies of the encrypted data stored in the cloud.
On the other hand, to the best of our knowledge, existing
constructions for secure deduplication are not built on
attribute-based encryption. Nevertheless, and secure
deduplication have been widely applied in cloud computing,
it would be desirable to design a cloud storage system
possessing both properties.
Attribute-based encryption (ABE) has been widelyused
in cloud computing where a data provider outsources
his/her encrypted data to a cloud service provider, and can
share the data with users possessing credentials (or
attributes). However, the standard ABE system does not
support secure deduplication, which is crucial for
eliminating duplicate copies of identical data inordertosave
storage space and network bandwidth.
We present an attribute-based storage system with
secure deduplication in a hybrid cloud setting, where a
private cloud is responsible for duplicate detection and a
public cloud manages the storage.
2. LITERATURE SURVEY
Flexible wildcard searchable encryptionsystem byYang
Yang, Ximeng Liu, Members, IEEE, Robert H. Deng, Fellow
IEEE, Jian Weng. According to this paper published in 2017,
searchable encryption is used toprovidedata confidentiality
and to allow users search over encrypted data with wildcard
keyword queries. In this system wildcards need to be
defining while uploading a file.
Hidden Policy cipher text-policy attribute based
encryption with keyword search against keyword guessing
attack by Qui S, Liu J, Shi Y, et al, 2017 states attribute based
keyword search and policy.
Fuzzy keyword search over encrypted data in cloud
computing by Li J, Wang Q year 2010.Exploited edit distance
to measure keywords similarity. It only deals with exact or
fuzzy keyword search to correct some spelling errors.
Efficient wildcard search over encrypted data by Hu C,
Han L in year 2015 introduced wildcard search over
encrypted data but therewasnoautogenerationof wildcard.
3. SYSTEM ANALYSIS
3.1 Existing System:
Fuzzy keyword search introduced intheexistingsystem
deal with exact or fuzzy keyword only to correct spelling
errors. The edit distance to measure keyword similarity is
small. It is useless if the edit distance of query keyword is
large. It was impossible to search multiple users’ data
simultaneously using one trapdoor. It is constructed based
on bloom filter. These Bloom filter based wildcard
searchable encryption schemes return false results to users
with a no negligible probability. Hence it decreases the
Security assurance. Flexible wildcardsearchable encryption
does not generate wildcard automatically. There is no
recovery option for the lost data.

3.2 Proposed System:
To save storage space and network bandwidth by
eliminating redundant copies of theencrypteddata storedin
the cloud we propose a cloud storage system with both
properties associate attribute-based storage system with
secure De-duplication. De-duplication during a hybridcloud
environment, wherever a personal cloud is chargeable for
duplicate detection and a public cloud manages the storage
planned system comparedwiththepreviousinformation de-
duplication systems. As our system support high security
and potency, additionally to boot file transfer upload file by
specifying period and access policy.
In our system, we check deduplication ofcontentby
using tag and upload file in encryption format. Then system
will auto generate wildcard of all files and store on cloud.
End user can download this file by using a private key sent
by the TPA while uploading the file. We propose a proxy
server for the recovery of lost data.
4. IMPLEMENTATION
4.1 Data Owner:
Initially the data owner will upload their respectivefiles
on cloud with attribute constrained like time, date and
access policy. After that the private key get generated
automatically which is known only to data owner and copy
of that key is get stored at TPA side for future work. Only the
data owner having the rights to download the encrypted file
by using key which is generated at storing time. If the
another user wants to download that file, he/shemustknow
the decryption key, if the key get matched then the user can
able to access or download that file successfully.
4.2 Third Party Authorizer:
The role of third party authorizer is to grant excess
policy to users except data owner by providing tag and key
to download the cloud stored data. TPA also checks for
hacked file by sending request to proxy server. By providing
file status it give us privacy policy. Data owner can recover
the hacked data or file by help of TPA; TPA regenerates the
tag and key for recovered data.
4.3 Proxy Server:
The main role of proxy server is to check whether the
cloud stored file is get hacked or not. If the data owner
requested for stored file statusthenproxyservergetinvokes
and as per file contained data , theservercheckswhetherthe
file is get malicious or not , if changes occurred, then it will
acknowledged to TPA that file is get hacked and as per data
owner request proxy server get recovered all the hacked
data.
4.4 Cloud Storage:
Cloudstorageis file storageinthe cloud (online).Instead
of keeping your files on your local hard drive, external hard
drive, or flash drive, you can save them online. Cloud Server
provides data storage space for theuser/data ownertostore
the data that provides the secured and efficient way of
storing the owner’s data.
5. SYSTEM ARCHITECTURE
Fig -1: System Architecture
An entity who named as data owner whouploadthe
files with attribute, time, access policy, time, deduplication.
The uploaded files store on cloud but before that file get
check weather file is original or duplicate. And an user who
request for file for downloading the file andtoaccessthe file.
We used AES algorithm for Encryption and Decryption of
data.
6. DATAFLOW DIAGRAM

Initially the data owner will upload their respectivefiles
on cloud with attribute constrained like time, date and
access policy with a tag. After that the stored data will
checked for deduplication,if theuploadedfileisoriginal then
file will get encrypted otherwise will give reference to
original one which is on cloud. When the user wants to
access that files which are stored on cloud, will send request
to TPA , after conforming the constrained the TPA will send
private key to user to decrypt the file and then user can
successfully download the desired file.
7. SYSTEM UI
Above graph shows the time required to encrypt data while
storing on cloud.
Above graph shows the time required to decrypt data while
downloading from cloud.
When data owner wants to check whether the cloud stored
file is get hacked or not, request will sent to TPA as per
privacy policy.
To check any malicious data or any changes occurred in
cloud stored data file, whether the cloud stored file is get
hacked or not, response will send back to TPA as perprivacy
policy.
If any malicious data or any changes occurred in cloud
stored data file, if the cloud stored file is get hacked,
regeneration of file tag is carried out by sending request to
proxy server by TPA as per privacy policy and hacked data
will get recovered successfully.
8. CONCLUSION
Our proposed system providesa newandadaptable
wildcard searchable encryption system for secure cloud
storage service, which supports flexible wildcard
representation, flexible search function and flexible user
authorization revocation. By reducing rate of hacked data,
system successfully recovered the hacked files to produce
security factor to stored data.
9. REFERENCES
[1] Yang Yang, Ximeng Liu, Robert H. Deng, Jian Weng,
“Flexible Wildcard Searchable Encryption System”, IEEE
Transactions on Services Computing, June 2017.
[2] Singh A, Chatterjee K. Cloud security issues and
challenges: A survey[J]. Journal of Network and Computer
Applications, 2017, 79: 88-115.

[3] Qiu S, Liu J, Shi Y, et al. Hidden policy ciphertext-
policy attribute based encryption with keyword search
against keyword guessing attack[J]. Science China
Information Sciences, 2017, 60(5): 052105.
[4] Yang Y, Ma M. Conjunctive Keyword Search With
Designated Tester and Timing Enabled ProxyRe-Encryption
Function for EHealth Clouds[J]. IEEE Transactions on
Information Forensics and Security, 2016, 11(4): 746-759.
[5] Yang Y. Attribute-based data retrieval with semantic
keyword search for e-health cloud[J]. Journal of Cloud
Computing, 2015, 4(1): 1.
[6] Hu C, Han L. Efficient wildcard search over encrypted
data[J]. International Journal of Information Security, 2015:
1-9.
[7] Li J, Chen X. Efficient multi-user keyword search over
encrypted data in cloud computing[J]. Computing and
Informatics, 2013, 32(4): 723-738.
[8] Suga T, Nishide T, Sakurai K. Secure keyword search
using Bloom ﬁlter with speciﬁed character
positions[C]//International Conference on Provable
Security. Springer Berlin Heidelberg, 2012: 235-252.
[9] Bosch C, BrinkmanR, Hartel P, etal.Conjunctivewildcard
search over encrypted data[C]//Workshop on Secure Data
Management. Springer Berlin Heidelberg, 2011: 114-127.
[10] LiJ,WangQ,WangC,etal.Fuzzykeywordsearchoverencrypt
ed dataincloud computing[C]//INFOCOM,2010Proceedings
IEEE. IEEE, 2010: 1-5
[11] Boneh D, Di Crescenzo G, Ostrovsky R, et al. Public key
encryption with keyword search[C]//International
Conference on the Theory andApplicationsofCryptographic
Techniques. Springer Berlin Heidelberg, 2004: 506-522.

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