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S.Saravanan1, Arivarasan. I2
  1. M.E (Ph.D) Assistant Professor, Department of CSE,M. Kumarasamy College of Engineering, Karur- Tamilnadu,
  2. II-M.E Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur- Tamilnadu,
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Cloud computing becomes more widely prevailed storage for outsourced data which may contain more sensitive information such as credit card numbers, passwords, e-mails, personal health records etc. As the data owners cannot risk their unencrypted outsourced data so as the cloud servers. The cloud server may fail to keep up the integrity of the cloud data due to hacking or entry of unauthorized entities. While searching the data in the cloud the attackers prefer the keyword which is not secured properly. The existing technique resolves the optimization complexities in ranked keyword search and its effective utilization of remotely stored encrypted cloud data. But it limits the further optimizations of the search results by preventing cloud server to interact with cloud users to maintain the integrity of actual owner’s keyword and the data associated with it. The aim is to define a framework which enhances the accuracy of the ranked keyword search by secured machine learning, which does not affect the data integrity. Introducing new and interactive access permissions allows only specific group of people to guide the search engine. This technique lists the exact or necessary search results for any encrypted keyword. Due to this learning the privacy of the keyword does not get to be violated because, the owner of the encrypted keyword has some lists of users to whom only the machine should learn for secured and improved search results.


Search in cloud, secured search engines, Inter cloud communication in cloud search engines.


Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. However, cloud computing technology challenges many traditional approaches to datacenter and enterprise application design and management.
The effectiveness and efficiency of traditional protection mechanisms are being reconsidered as the characteristics of this innovative deployment model can differ widely from those of traditional architectures. An alternative perspective on the topic of cloud security is that this is but another, although quite broad, case of "applied security" and that similar security principles that apply in shared multi-user mainframe security models apply with cloud security.
is the very nature of cloud computing-based services, private or public, that promote external management of provided services. This delivers great incentive to cloud computing service providers to prioritize building and maintaining strong management of secure services.
Security issues have been categorized into sensitive data access, data segregation, privacy, bug exploitation, recovery, accountability, malicious insiders, management console security, account control, and multi-tenancy issues. Solutions to various cloud security issues vary, from cryptography, particularly public key infrastructure (PKI), to use of multiple cloud providers, standardization of APIs, and improving virtual machine support.
Cloud computing offers many benefits, but it also is vulnerable to threats. One of the main threat exist today is the problem of unauthorized users or entities. For avoiding this problem the new technique is developed in this cloud computing is that data owners may share their outsourced data with a large number of users, who might want to only retrieve certain specific data files they are interested in during a given session. One of the most popular ways to do so is through keyword-based search. Such keyword search technique allows users to selectively retrieve files of interest and has been widely applied in plaintext search scenarios.
Unfortunately, data encryption, which restricts user’s ability to perform keyword search and further demands the protection of keyword privacy, makes the traditional plaintext search methods fail for encrypted cloud data.
To achieve the design goals on both system security and usability, this system propose to bring together the advance of both crypto and IR community to design the TDT4 (Topic Detection and Tracking (TDT-2004)) [5] mechanism and privilege mechanism.
The aim is introduce a system design that should achieve the security and performance guarantee. Specifically, this system has the following goals [6]:
a) Ranked key word search: For efficient searching process the process use the mechanism of Topic detection and tracking 2004. The search time includes fetching the posting list in the index, decrypting, and rank ordering each entry.
b) Security guarantee: For providing the security in the cloud server, this process uses the privilege method.


The existing technique resolves the optimization complexities in ranked keyword search and its effective utilization of remotely stored encrypted cloud data. But it limits the further optimizations of the search results by preventing search engine to interact with cloud users to maintain the integrity of actual owner’s keyword and the data associated with it.
Consider an encrypted cloud data hosting service involving three different entities, as illustrated in Fig 1data owner, data user, and cloud server. Data owner has a collection of n data files that he wants to outsource on the cloud server in encrypted form while still keeping the capability to search through them for effective data utilization reasons.
Now consider the secure ranked keyword search problem as follows: the search result should be returned according to certain ranked relevance criteria (e.g., keyword frequency- based scores, as will be introduced shortly), to improve file retrieval accuracy for users without prior knowledge on the file collection. We primarily consider an “honest-but-curious” server in our model, which is consistent with most of the previous searchable encryption schemes.
The problem with the techniques available for implementing search engine in an environment consists of sensitive outsourced cloud data can be summarized as:
a) Lacking of effective mechanisms to ensure the file retrieval accuracy is very difficult.
b) Security is not addressed fully and limits search engine’s accuracy.
The ranked keyword search over encrypted data is to achieve economies of scale for Cloud Computing. This process start from the review of existing searchable symmetric encryption schemes and provides the definitions and framework for this proposed ranked searchable symmetric encryption.
Searchable encryption allows data owner to outsource his data in an encrypted manner while maintaining the selectively search capability over the encrypted data. In order to achieve more efficient solutions, almost all the existing works on searchable encryption literature resort to the weakened security guarantee, i.e., revealing the access pattern and search pattern but nothing else. Result, i.e., which files have been retrieved.
The search pattern includes the equality pattern among the two search requests (whether two searches were performed for the same keyword), and any information derived thereafter from this statement.


This process defines and solves the problem of effective yet secure ranked keyword search over encrypted cloud data. Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to certain relevance criteria (e.g., keyword frequency), thus making one step closer towards practical deployment of privacy-preserving data hosting services in Cloud Computing. It first gives a straightforward yet ideal construction of ranked keyword search searchable symmetric encryption (RSSE)[6] security definition, and demonstrates its inefficiency. To achieve more practical performance, the process then propose a definition for ranked searchable symmetric encryption, and give an efficient design by properly utilizing the existing cryptographic primitive, order-preserving symmetric encryption (OPSE).Relevance Score Calculation[6],
| Fd|- denotes the length of the file.
Therefore, the same relevance score appearing in different lists of the index I will be mapped to different “bucket” in R. Combining this with the one-to-many mapping will randomize the encrypted values from an overall point of view. The sampling during an OPSE operation is a function belonging to O(log M), and is at most 5 log M +12 on average Thus, mitigation of the useful information revealed to the cloud server
This process also aim to develop the more efficient in ranked keyword search and provide more security; using the process of TDT4 mechanism and privilege technique. TDT4 mechanism is used for provide the efficient ranked keyword search. In this process information retrieval, a ranking function is used to calculate relevance scores of matching files to a given search request.

Design Goals:

To enable ranked keyword search for effective utilization of outsourced cloud data under the aforementioned model, our system design should achieve the following security and performance guarantee.
a) Ranked key word search: For efficient searching process the process use the mechanism of Topic detection and tracking 2004. The search time includes fetching the posting list in the index, decrypting, and rank ordering each entry.
b) Security guarantee: For providing the security in the cloud server, this process uses the privilege method.

Mechanisms for Implementation:

Topic detection and tracking:

TDT refers to automatic techniques for finding topically related material in streams of data techniques that could be quite valuable in a wide variety of applications where efficient and timely information access is important. For example, a lot of useful information could be gleaned from a multitude of news sources, but no one has the time to watch, listen to, or read carefully each of the many news sources available.
Tasks can vary in focus and size from hypothetical applications to enabling technologies. In brief, the goal of each of the tasks is:
Topic Tracking– detect stories that discuss a target topic,
Link Detection– detect whether a pair of stories discuss the same topic,
Topic Detection– detect clusters of stories that discuss the same topic,
First Story Detection– detect the first story that discusses a topic, and
Story Segmentation– detect story boundaries.


A privilege is a special entitlement to immunity granted by the state or another authority to a restricted group, either by birth or on a conditional basis. It can be revoked in certain circumstances.
For example, a system administrator or, in the case of network resources such as access to a particular device, a network administrator assigns privileges to users. System software then automatically enforces privilege to the files.


Execution process:

a. Owner uploads the file in to the cloud server, and set the privilege to the particular user for easily access data.
b. And give the particular permission like write, read or both for providing the security. Here the user’s are separated by authorized user and unauthorized user. Authorized user is the owner permitted person and unauthorized user is unpermitted person.
c. So authorized user easily access the data from the cloud server by using the ranked efficient keyword search by the mechanism of TDT4 mechanism. Unauthorized user asks the permission to access the data.
d. After the data owner permission, then only the authorized user access the data in the cloud server.

Efficiency of the ranked keyword search:

This type of ranked keyword search enhances the efficient usage of outsourced files by providing Inter cloud communication constantly between data owners and users. So that the cloud server learn nothing from the data uploaded by data owners.
The search time is not affected while fetching the posting list in the index, decrypting, and rank ordering each entry


Ranked keyword search: to explore different mechanisms for designing effective ranked search.
a. Provide more security to the data owner, by means of Inter-cloud communication through e-mail.
b. Authentication of both search results and the outsource process enables search engine to be more robust than before in cloud environment
c. Privilege method is used for the security. So process has the more security compared to the existing system.


Migration of Search Engine Process into the Cloud:

Working of Search Engine is divided into two part, query dependent module and query independent module [2]. Query Independent Module consists of Crawler, indexer and Repository. Query Independent module does not depend upon the user but is an ongoing continuous process. Query Dependent module consists of Query Module and a Ranking Module. Each Component on query dependent module forms a Part of Cluster. Whenever user fires a query its goes to a particular cluster depending on the type and data set required by the query and that is determined by cloud controller.

Searchable Encryption:

Traditional searchable [1], [3] encryptions has been widely studied as a cryptographic primitive, with a focus on security definition formalizations and efficiency improvements. It is desirable to store data on data storage servers such as mail servers and file servers in encrypted form to reduce security and privacy risks. But this usually implies that one has to sacrifice functionality for security. For example, if a client wishes to retrieve only documents containing certain words, it was not previously known how to let the data storage server perform the search and answer the query without loss of data confidentiality.


First and foremost I concede the surviving presence and the flourishing refinement of ALMIGHTY GOD for his concealed hand yet substantial all through the project.
This project was supported by my college M. Kumarasamy college of Engineering, Karur Tamil Nadu,India.
I would like to express my profuse gratitude to Mr.M.KUMARASAMY, CHAIRMAN and Dr.K.RAMAKRISHNAN B.E., SECRETARY of our college for providing extra ordinary infrastructure, which helped me in the completion of the project phase II in time.
I would like to express my sincere thanks to Dr.D.VALAVAN M.Tech., Ph.D., PRINCIPAL, for providing facilities to successfully carry the project phase II.
I sincerely thank Dr.P.SUDHAKAR M.Tech., Ph.D., HEAD OF THE DEPARTMENT OF CSE for his valuable guidance and constant encouragement, valuable suggestions and support rendered in making my project a success.
I thank my guide Mr.S.SARAVANAN M.E (Ph.D)., Assistant Professor, Department of CSE MKCE for his constant encouragement, kind co-operation, valuable suggestion and support rendered in making my project a success.


In this paper, as an initial attempt, we motivate and solve the problem of supporting efficient ranked keyword search for achieving effective utilization of remotely stored outsourced data in a cloud. We first give the framework definition to provide secure search facility for the sensitive data stored in cloud environment. We also investigate some further enhancements of our ranked search mechanism, including the efficient support of relevance score dynamics. We are looking forward to the extensive experimental results which will demonstrate the efficiency of our solution.
By enabling a search result authentication mechanism that can detect unexpected behaviours of cloud server like saving cost when handling large number of search requests, software bugs and internal/external attacks. In future we will support to score dynamics. Score Dynamics adding newly encrypted scores for newly created files, or modifying old encrypted scores for modification of existing files in the file collection.


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  5. Chien Chin Chen and Meng Chang Chen, (SIGIR 2012) “TSCAN: A Content Anatomy Approach to Temporal Topic Summarization” vol. 24, no. 1.
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