Thursday, 5 October 2017

Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data Video

Cloud Technologies Hyderabad

Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data


Implementation Video Of Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data

IEEE 2017-2018 Java Projects


SYSTEM REQUIREMENTS HARDWARE REQUIREMENTS:
Hardware : Pentium Speed : 1.1 GHz RAM : 1GB Hard Disk : 20 GB
SOFTWARE REQUIREMENTS:
Operating System : Windows Family Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS Web Server : Apache Tomcat 7.0/8.0 Database : My SQL 5.5 or Higher UML's : StarUml Java Version : JDK 1.7 or 1.8
Implemented by
Development team :

Cloud Technologies

www.cloudstechnologies.in


Contact : 8121953811, 040-65511811

Wednesday, 4 October 2017

A Novel Efficient Remote Data Possession Checking Protocol in Cloud Storage | IEEE 2017 Project | M-Tech Project | B-Tech Project

Cloud Technologies Hyderabad

A Novel Efficient Remote Data Possession Checking Protocol in Cloud Storage

Abstract As an important application in cloud computing, cloud storage offers user scalable, flexible and high quality data storage and computation services. A growing number of data owners choose to outsource data files to the cloud. Because cloud storage servers are not fully trustworthy, data owners need dependable means to check the possession for their files outsourced to remote cloud servers. To address this crucial problem, some remote data possession checking (RDPC) protocols have been presented. But many existing schemes have vulnerabilities in efficiency or data dynamics. In this paper, we provide a new efficient RDPC protocol based on holomorphic hash function. The new scheme is provably secure against forgery attack, replace attack and replay attack based on a typical security model. To support data dynamics, an operation record table (ORT) is introduced to track operations on file blocks. We further give a new optimized implementation for the ORT which makes the cost of accessing ORT nearly constant. Moreover, we make the comprehensive performance analysis which shows that our scheme has advantages in computation and communication costs. Information security, sometimes shortened to InfoSec, is the practice of preventing unauthorized access, use, disclosure, disruption, modification, inspection, recording or destruction of information. It is a general term that can be used regardless of the form the data may take (e.g. electronic, physical). Network security consists of the policies and practices adopted to prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources. Network security involves the authorization of access to data in a network, which is controlled by the network administrator. Users choose or are assigned an ID and password or other authenticating information that allows them access to information and programs within their authority. Network security covers a variety of computer networks, both public and private, that are used in everyday jobs; conducting transactions and communications among businesses, government agencies and individuals. Networks can be private, such as within a company, and others which might be open to public access. Network security is involved in organizations, enterprises, and other types of institutions. It does as its title explains: It secures the network, as well as protecting and overseeing operations being done. The most common and simple way of protecting a network resource is by assigning it a unique name and a corresponding password.
Existing System
Cloud service provider tries to provide a promising service for data storage, which saves the users costs of investment and resource. Nonetheless, cloud storage also brings various s security issues for the outsourced data. Although some security problems have been solved the important challenges of data tampering and data lost still exist in cloud storage. On the one hand, the accident disk error or hardware failure of the cloud storage server (CSS) may cause the unexpected corruption of outsourced files. On the other hand, the CSS is not fully trustworthy from the perspective of the data owner; it may actively delete or modify files for tremendous economic benefits. At the same time, CSS may hide the misbehaviors and data loss accidents from data owner to maintain a good reputation.
DISADVANTAGES • It is crucial for the data owner to utilize an efficient way to check the integrity for outsourced data. • In addition, they supplied two concrete schemes (S-PDP, E-PDP) based on RSA. Although these two protocols had good performance, it's a pity they didn't support dynamic operations. • Does not provide efficiency in remote data integrity checking. • More expensive. • The existing system provides less flexibility.
PROPOSED SYSTEM
It is essential for data owners to verify the integrity for the data stored on CSS before using it. For example, a big international trading company stores all the imports and exports record files on CSS. According to these files, the company can get the key information such as the logistics quantity, the trade volume etc. If any record file is discarded or tampered, the company will suffer from a big loss which may cause bad influence on its business and development. To avoid this kind of circumstances, it is mandatory to check the integrity for outsourced data files. Furthermore, since these files may refer to business secret, any information exposure is unacceptable. If the company competitor can execute the file integrity checking, by frequently checking the files they may obtain some useful information such as when the file changes, the growth rate of the file etc, by which they can guess the development of the company. Thus, to avoid this situation, we consider the private verification type in our scheme, that is, the data owner is the unique verifier. In fact, the current research direction of RDPC focuses on the public verification, in which anyone can perform the task of file integrity checking with the system public key. Although RDPC with public verification seems better than that with private verification, but it is unsuitable to the scenario mentioned above. Motivated by the above application scenarios, we present a novel efficient RDPC scheme by using homomorphic hash function , which has been used to construct RDPC schemes . Unfortunately, these schemes are either insecure or not efficient enough. To overcome these drawbacks, we refer to the idea of and introduce a private key for each tag generation in our RDPC scheme. Simultaneously, a new construction of ORT is presented for data dynamic which can improve the efficiency of the protocol greatly. Compared with the previous ones, our scheme has better performance in term of computation and communication. Our contributions are summarized as follows: We present a novel efficient dynamics. The basic scheme utilizes homomorphic hash function technique, in which the hash value of the sum for two blocks is equal to the product for two hash values of the corresponding blocks. We introduce a linear table called ORT to record data operations for supporting data dynamics such as block modification, block insertion and block deletion. To improve the efficiency for accessing ORT, we make use of doubly linked list and array to present an optimized implementation of ORT which reduces the cost to nearly constant level. We prove the presented scheme is secure against forgery attack, replay attack and replace attack based on a typical security model. At last we implement our scheme and make thorough comparison with previous schemes. Experiment results show that the new scheme has better performance and is practical for real applications.
Future Work:
In future work we are implementing de-duplication Technique for found duplicate file have in cloud. Because in the above System we are doing RDPC Technique to Data integrity. So it is degrade the system performance by doing for duplicate files. To improve system performance we will find duplicate file before upload in cloud, once if we found any duplicate file from cloud then this enhancing system does not allow to store in cloud. Advantages: 1. We can reduce the storage space. 2. We can save network round trips. For finding duplicate file we use SHA-256 algorithm for generating Hash Code for checking cloud with any file is matched. SYSTEM CONFIGURATION: Hardware requirements: Processer : Any Update Processer Ram : Min 1 GB Hard Disk : Min 100 GB Software requirements: Operating System : Windows family Technology : Java (1.7/1.8) Web Technologies : Html, Html-5, JavaScript, CSS. Web Server : Tomcat 7/8 Server side Lang : J2EE Database : My SQL5.5 UML : Star UML DFD : DFD Drawer Implemented by Development team : Cloud Technologies Website : http://www.cloudstechnologies.in Contact : 8121953811, 040-65511811

Monday, 2 October 2017

Robust and Auditable Access Control With Multiple Attribute Authorities for Public Cloud Storage

Cloud Technologies Hyderabad

Robust and Auditable Access Control With Multiple Attribute Authorities for Public Cloud Storage


Implementation Video Of Robust and Auditable Access Control With Multiple Attribute Authorities for Public Cloud Storage

IEEE 2017-2018 Java Projects


SYSTEM REQUIREMENTS HARDWARE REQUIREMENTS:
Hardware : Pentium Speed : 1.1 GHz RAM : 1GB Hard Disk : 20 GB
SOFTWARE REQUIREMENTS:
Operating System : Windows Family Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS Web Server : Apache Tomcat 7.0/8.0 Database : My SQL 5.5 or Higher UML's : StarUml Java Version : JDK 1.7 or 1.8
Implemented by
Development team :

Cloud Technologies

www.cloudstechnologies.in


Contact : 8121953811, 040-65511811

Tuesday, 19 September 2017

NetSpam a Network-based Spam Detection Framework for Reviews in Online Social Media

Cloud Technologies Hyderabad

NetSpam a Network-based Spam Detection Framework for Reviews in Online Social Media


Implementation Video Of NetSpam a Network-based Spam Detection Framework for Reviews in Online Social Media

IEEE 2017-2018 Java Projects


SYSTEM REQUIREMENTS HARDWARE REQUIREMENTS:
Hardware : Pentium Speed : 1.1 GHz RAM : 1GB Hard Disk : 20 GB
SOFTWARE REQUIREMENTS:
Operating System : Windows Family Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS Web Server : Apache Tomcat 7.0/8.0 Database : My SQL 5.5 or Higher UML's : StarUml Java Version : JDK 1.7 or 1.8
Implemented by
Development team :

Cloud Technologies

www.cloudstechnologies.in


Contact : 8121953811, 040-65511811

Wednesday, 13 September 2017

M-Tech Projects NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media

Cloud Technologies Hyderabad

NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media


Abstract:

Abstract—Nowadays, a big part of people rely on available content in social media in their decisions (e.g. reviews and feedback on a topic or product). The possibility that anybody can leave a review provide a golden opportunity for spammers to write spam reviews about products and services for different interests. Identifying these spammers and the spam content is a hot topic of research and although a considerable number of studies have been done recently toward this end, but so far the methodologies put forth still barely detect spam reviews, and none of them show the importance of each extracted feature type. In this study, we propose a novel framework, named NetSpam, which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification problem in such networks. Using the importance of spam features help us to obtain better results in terms of different metrics experimented on real-world review datasets from Yelp and Amazon websites. The results show that NetSpam outperforms the existing methods and among four categories of features; including review-behavioral, user-behavioral, reviewlinguistic, user-linguistic, the first type of features performs better than the other categories.


Existing System

In Existing work, the work only depend on the detect the spam reviews and spammers. None of them show the importance of each extracted feature type. On the other hand, a considerable amount of literature has been published on the techniques used to identify spam and spammers as well as different type of analysis on this topic. These techniques can be classified into different categories; some using linguistic patterns in text which are mostly based on bigram, and unigram, others are based on behavioral patterns that rely on features extracted from patterns in users’ behavior which are mostly metadata based.


Disadvantages: • These work not enough to classify the spam network. • Lack of work to detect spam features.

Proposed System

We propose NetSpam framework that is a novel network based approach which models review networks as heterogeneous information networks. The general concept of our proposed framework is to model a given review dataset as a Heterogeneous Information Network (HIN) and to map the problem of spam detection into a HIN classification problem. In particular, we model review dataset as a HIN in which reviews are connected through different node types (such as features and users). A weighting concept is then employed to calculate each feature’s importance (or weight). These weights are utilized to calculate the final labels for reviews using both unsupervised and supervised approaches. Advantages • Importance of spam features help us to obtain better results in terms of different metrics experimented on real-world review datasets • Initiating the work to detect spam features.
SYSTEM REQUIREMENTS HARDWARE REQUIREMENTS:
Hardware : Pentium Speed : 1.1 GHz RAM : 1GB Hard Disk : 20 GB
SOFTWARE REQUIREMENTS:
Operating System : Windows Family Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS Web Server : Apache Tomcat 7.0/8.0 Database : My SQL 5.5 or Higher UML's : StarUml Java Version : JDK 1.7 or 1.8
Implemented by
Development team :

Cloud Technologies

www.cloudstechnologies.in


Contact : 8121953811, 040-65511811

Wednesday, 6 September 2017

IEEE-2017 Project | Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud Video

Cloud Technologies Hyderabad

Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud


Implementation Video in Java From Cloud Technologies

IEEE 2017 Java Projects


SYSTEM REQUIREMENTS HARDWARE REQUIREMENTS:
Hardware : Pentium Speed : 1.1 GHz RAM : 1GB Hard Disk : 20 GB
SOFTWARE REQUIREMENTS:
Operating System : Windows Family Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS Web Server : Apache Tomcat 7.0/8.0 Database : My SQL 5.5 or Higher UML's : StarUml Java Version : JDK 1.7 or 1.8
Implemented by
Development team :

Cloud Technologies

www.cloudstechnologies.in


Contact : 8121953811, 040-65511811

Tuesday, 29 August 2017

B-Tech IEEE Projects | A Secure and Dynamic Multi keyword Ranked Search Scheme over Encrypted Cloud Data

Cloud Technologies Hyderabad

A Secure and Dynamic Multi keyword Ranked Search Scheme over Encrypted Cloud Data


Implementation Video Of A Secure and Dynamic Multi keyword Ranked Search Scheme over Encrypted Cloud Data

IEEE 2016-2017 Java Projects


SYSTEM REQUIREMENTS HARDWARE REQUIREMENTS:
Hardware : Pentium Speed : 1.1 GHz RAM : 1GB Hard Disk : 20 GB
SOFTWARE REQUIREMENTS:
Operating System : Windows Family Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS Web Server : Apache Tomcat 7.0/8.0 Database : My SQL 5.5 or Higher UML's : StarUml Java Version : JDK 1.7 or 1.8
Implemented by
Development team :

Cloud Technologies

www.cloudstechnologies.in


Contact : 8121953811, 040-65511811