Secure Remote Communication Using DES Algorithm

Cloud Computing, Security and Encryption, Web | Desktop Application
Secure Remote Communication Using DES Algorithm The Data Encryption Standard (DES) algorithm is a widely accepted system for data encryption that makes use of a private (secret) key that was judged so hard to break by the U.s. government that it was confined for exportation to different nations. There are more than 71,000,000,000,000,000 (71 quadrillion) encryption keys to be used in this algorithm. For any given message, the key is picked at irregular interval from among this colossal number of keys. Like other private key cryptographic routines, both the sender and the collector must know and utilize a common private key. Many companies, governments, military and other fields make use of DES algorithm for secure data transfer over unsecure networks. We here propose a system for secured data transfer over…
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Secure File Storage On Cloud Using Hybrid Cryptography

Cloud Computing, Security and Encryption, Web | Desktop Application
Secure File Storage On Cloud Using Hybrid Cryptography The proposed software product is liable to meet the required security needs of data center of cloud. Blowfish used for the encryption of file slices takes minimum time and has maximum throughput for encryption and decryption from other symmetric algorithms. The idea of splitting and merging adds on to meet the principle of data security. The hybrid approach when deployed in cloud environment makes the remote server more secure and thus, helps the cloud providers to fetch more trust of their users. For data security and privacy protection issues, the fundamental challenge of separation of sensitive data and access control is fulfilled. Cryptography technique translates original data into unreadable form. Cryptography technique is divided into symmetric key cryptography and public key cryptography.…
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Secure Data Transfer Over Internet Using Image Steganography

Cloud Computing, Networking, Parallel And Distributed System, Security and Encryption, Web | Desktop Application
Secure Data Transfer Over Internet Using Image Steganography Steganography is the technique of hiding private or sensitive information within something that appears to be nothing be a usual image. Steganography involves hiding Text so it appears that to be a normal image or other file. If a person views that object which has hidden information inside, he or she will have no idea that there is any secrete information. What steganography essentially does is exploit human perception, human senses are not trained to look for files that have information inside of them. What this system does is, it lets user to send text as secrete message inside an image file, user uploads the image and enters the text to send secretly, and gives a key or a pass word to…
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Secure Backup Software System

Cloud Computing, Web | Desktop Application
Secure Backup Software System Using Software backup system, users can store files, documents, images, videos through windows application in a secured manner. In this user can store documents and files in any format which is kept in a separate folder made for each user. The stored folder is only accessible to the authorized users who can access their own folder. It’s a windows application, where all the file details store in SQL Database. If the user found to be unauthorized by the admin, then admin can block a user and also can unblock it whenever required.
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Policy-by-Example for Online Social Networks.

Cloud Computing, Data mining, Security and Encryption
Policy-by-Example for Online Social Networks We introduce two approaches for improving privacy policy management in online social networks. First, we introduce a mechanism using proven clustering techniques that assists users in grouping their friends for group based policy management approaches. Second, we introduce a policy management approach that leverages a user's memory and opinion of their friends to set policies for other similar friends. We refer to this new approach as Same-As Policy Management. To demonstrate the e ectiveness of our policy management improvements, we implemented a prototype Facebook application and conducted an extensive user study. Leveraging proven clustering techniques, we demonstrated a 23% reduction in friend grouping time. In addition, we demonstratedconsiderable reductions in policy authoring time using Same As Policy Management over traditional group based policy management approaches. Finally,…
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Web Usage Mining Using Improved Frequent Pattern Tree Algorithms

Cloud Computing, Data mining
Web Usage Mining Using Improved Frequent Pattern Tree Algorithms Web mining can be broadly defined as discovery and analysis of useful information from the World Wide Web. Web Usage Mining can be described as the discovery and analysis of user accessibility pattern, during the mining of log files and associated data from a particular Web site, in order to realize and better serve the needs of Web-based applications. Web usage mining itself can be categorised further depending on the kind of usage data considered they are web server, application server and application level data. This Research work focuses on web use mining and specifically keeps tabs on running across the web utilization examples of sites from the server log records. The bonding of memory and time usage is compared by…
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Reversible Data Hiding With Optimal Value Transfer

Cloud Computing, Data mining
Reversible Data Hiding With Optimal Value Transfer In reversible data hiding techniques, the values of host data are modified according to some particular rules and the original host content can be perfectly restored after extraction of the hidden data on receiver side. In this paper, the optimal rule of value modification under a payload -distortion criterion is found by using an iterative procedure, and a practical reversible data hiding scheme is proposed. The secret data, as well as the auxiliary information used for content recovery, are carried by the differences between the original pixel-values and the corresponding values estimated from the neighbours. Here, the estimation errors are modified according to the optimal value transfer rule. Also, the host image is divided into a number of pixel subsets and the auxiliary…
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Public auditing cloud data storage- bilinear pairing

Cloud Computing, Data mining
Public auditing cloud data storage- bilinear pairing. Cloud data security is concern for the client while using the cloud services provided by the service provider. In this paper we are analyzed various mechanisms to ensure reliable data storage using cloud services. It mainly focuses on the way of providing computing resources in form of service rather than a product and utilities are provided to users over internet. In the cloud, application and services move to centralized huge data center and services and management of this data may not be trustworthy into cloud environment the computing resources are under control of service provider and the third-party-auditor ensures the data integrity over out sourced data. Third-party-auditor not only read but also may be change the data. Therefore a mechanism should be provided…
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Optimization of Horizontal Aggregation in SQL by Using K-Means Clustering.

Cloud Computing, Data mining
optimization of Horizontal Aggregation in SQL by Using K-Means Clustering. To analyze data efficiently, Data mining systems are widely using datasets with columns in horizontal tabular layout. Preparing a data set is more complex task in a data mining project, requires many SQL queries, joining tables and aggregating columns. Conventional RDBMS usually manage tables with vertical form. Aggregated columns in a horizontal tabular layout returns set of numbers, instead of one number per row. The system uses one parent table and different child tables, operations are then performed on the data loaded from multiple tables. PIVOT operator, offered by RDBMS is used to calculate aggregate operations. PIVOT method is much faster method and offers much scalability. Partitioning large set of data, obtained from the result of horizontal aggregation, in to…
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Access Control Mechanisms for Outsourced Data in Cloud

Cloud Computing, Web | Desktop Application
Access Control Mechanisms for Outsourced Data in Cloud Traditional access control models often assume that the en- tity enforcing access control policies is also the owner of data and re- sources. This assumption no longer holds when data is outsourced to a third-party storage provider, such as the cloud. Existing access control solutions mainly focus on preserving con dentiality of stored data from unauthorized access and the storage provider. However, in this setting, access control policies as well as users' access patterns also become pri- vacy sensitive information that should be protected from the cloud. We propose a two-level access control scheme that combines coarse-grained access control enforced at the cloud, which allows to get acceptable com- munication overhead and at the same time limits the information that the cloud learns…
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Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation

Cloud Computing, Web | Desktop Application
Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving. However, some data might be sensitive that the data owner does not want to move to the cloud unless the data confidentiality and query privacy are guaranteed. On the other hand, a secured query service should still provide efficient query processing and significantly reduce the in-house workload to fully realize the benefits of cloud computing. We propose the random space perturbation (RASP) data perturbation method to provide secure and efficient range query and kNN query services for protected data in the cloud. The RASP data perturbation method combines order preserving encryption, dimensionality expansion, random…
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Balancing Performance, Accuracy, and Precision for Secure Cloud Transactions

Cloud Computing, Web | Desktop Application
Balancing Performance, Accuracy, and Precision for Secure Cloud Transactions In distributed transactional database systems deployed over cloud servers, entities cooperate to form proofs of authorizations that are justified by collections of certified credentials. These proofs and credentials may be evaluated and collected over extended time periods under the risk of having the underlying authorization policies or the user credentials being in inconsistent states. It therefore becomes possible for policy-based authorization systems to make unsafe decisions that might threaten sensitive resources. In this paper, we highlight the criticality of the problem. We then define the notion of trusted transactions when dealing with proofs of authorization. Accordingly, we propose several increasingly stringent levels of policy consistency constraints, and present different enforcement approaches to guarantee the trustworthiness of transactions executing on cloud servers. We propose a Two-Phase Validation Commit protocol…
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Secure Data Retrieval for Decentralized Disruption-Tolerant Military Networks

Cloud Computing, Networking, Security and Encryption, Web | Desktop Application
Secure Data Retrieval for Decentralized Disruption-Tolerant Military Networks Mobile nodes in military environments such as a battlefield or a hostile region are likely to suffer from intermittent network connectivity and frequent partitions. Disruption-tolerant network (DTN) technologies are becoming successful solutions that allow wireless devices carried by soldiers to communicate with each other and access the confidential information or command reliably by exploiting external storage nodes. Some of the most challenging issues in this scenario are the enforcement of authorization policies and the policies update for secure data retrieval. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution to the access control issues. However, the problem of applying CP-ABE in decentralized DTNs introduces several security and privacy challenges with regard to the attribute revocation, key escrow, and coordination of attributes issued…
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Product Aspect Ranking and Its Applications

Cloud Computing, Data mining, Security and Encryption, Web | Desktop Application
Product Aspect Ranking and Its Applications Numerous consumer reviews of products are now available on the Internet. Consumer reviews contain rich and valuable knowledge for both firms and users. However, the reviews are often disorganized, leading to difficulties in information navigation and knowledge acquisition. This article proposes a product aspect ranking framework, which automatically identifies the important aspects of products from online consumer reviews, aiming at improving the usability of the numerous reviews. The important product aspects are identified based on two observations: 1) the important aspects are usually commented on by a large number of consumers and 2) consumer opinions on the important aspects greatly influence their overall opinions on the product. In particular, given the consumer reviews of a product, we first identify product aspects by a shallow…
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Typicality-Based Collaborative Filtering Recommendation

Cloud Computing, Data mining, Security and Encryption
Typicality-Based Collaborative Filtering Recommendation Collaborative filtering (CF) is an important and popular technology for recommender systems. However, current CF methods suffer from such problems as data sparsity, recommendation inaccuracy, and big-error in predictions. In this paper, we borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation method named TyCo. A distinct feature of typicality-based CF is that it finds “neighbors” of users based on user typicality degrees in user groups (instead of the corated items of users, or common users of items, as in traditional CF). To the best of our knowledge, there has been no prior work on investigating CF recommendation by combining object typicality. TyCo outperforms many CF recommendation methods on recommendation accuracy (in terms of MAE) with an improvement of…
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Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud

Cloud Computing, Data mining, Parallel And Distributed System, Security and Encryption, Web | Desktop Application
Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud With data storage and sharing services in the cloud, users can easily modify and share data as a group. To ensure shared data integrity can be verified publicly, users in the group need to compute signatures on all the blocks in shared data. Different blocks in shared data are generally signed by different users due to data modifications performed by different users. For security reasons, once a user is revoked from the group, the blocks which were previously signed by this revoked user must be re-signed by an existing user. The straightforward method, which allows an existing user to download the corresponding part of shared data and re-sign it during user revocation, is inefficient due to the…
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Identity-Based Distributed Provable Data Possession in Multicloud Storage

Cloud Computing, Web | Desktop Application
Identity-Based Distributed Provable Data Possession in Multicloud Storage Remote data integrity checking is of crucial importance in cloud storage. It can make the clients verify whether their outsourced data is kept intact without downloading the whole data. In some application scenarios, the clients have to store their data on multi-cloud servers. At the same time, the integrity checking protocol must be efficient in order to save the verifier’s cost. From the two points, we propose a novel remote data integrity checking model: ID-DPDP (identity-based distributed provable data possession) in multi-cloud storage. The formal system model and security model are given. Based on the bilinear pairings, a concrete ID-DPDP protocol is designed. The proposed ID-DPDP protocol is provably secure under the hardness assumption of the standard CDH (computational Diffie-Hellman) problem. In…
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Control Cloud Data Access Privilege and Anonymity with Fully Anonymous Attribute-Based Encryption

Cloud Computing, Web | Desktop Application
Control Cloud Data Access Privilege and Anonymity with Fully Anonymous Attribute-Based Encryption Cloud computing is a revolutionary computing paradigm which enables flexible, on-demand and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the Attribute-Based Encryption have been proposed to secure the cloud storage. However, most work focuses on the data contents privacy and the access control, while less attention is paid to the privilege control and the identity privacy. In this paper, we present a semi-anonymous privilege control scheme AnonyControl to address not only the data privacy but also the user identity privacy in existing access control schemes.AnonyControl decentralizes the central authority to limit the identity leakage and thus achieves semi-anonymity. Besides, it…
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A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data

Cloud Computing, Security and Encryption
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data The project defines and solve the problem of multi-keyword ranked search over encrypted cloud data (MRSE) while preserving strict system wise privacy in the cloud computing paradigm. Data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their…
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CloudProtect: Managing Data Privacy in Cloud Applications

Cloud Computing, Web | Desktop Application
CloudProtect: Managing Data Privacy in Cloud Applications This paper describes the CloudProtect middleware that empowers users to encrypt sensitive data stored within various cloud applications. However, most web applications require data in plaintext for implementing the various functionalities and in general, do not support encrypted data management. Therefore, CloudProtect strives to carry out the data transformations (encryption/decryption) in a manner that is transparent to the application, i.e., preserves all functionalities of the application, including those that require data to be in plaintext. Additionally, CloudProtect allows users flexibility in trading off performance for security in order to let them optimally balance their privacy needs and usage-experience.
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A Secured Cost-effective Multi-Cloud Storage in Cloud Computing.

Cloud Computing, Web | Desktop Application
The end of this decade is marked by a paradigm shift of the industrial information technology towards a pay-per-use service business model known as cloud computing. Cloud data Storage redefines the security issues targeted on customer’s outsourced data (data that is not stored/retrieved from the costumers own servers). In this work we observed that, from a customer’s point of view, relying upon a solo SP for his outsourced data is not very promising. In addition, providing better privacy as well as ensuring data availability can be achieved by dividing the user’s data block into data pieces and distributing them among the available SPs in such a way that no less than a threshold number of SPs can take part in successful retrieval of the whole data block. In this paper,…
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Ensuring Data Storage Security in Cloud Computing

Cloud Computing, Web | Desktop Application
Ensuring Data Storage Security in Cloud Computing Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible distributed scheme with two salient features, opposing to its predecessors. By utilizing the homomorphic token with…
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Fuzzy Keyword Search over Encrypted Data in Cloud Computing

Cloud Computing
Fuzzy Keyword Search over Encrypted Data in Cloud Computing As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. In this paper, for the first time we formalize and solve the problem of effective fuzzy keyword search over encrypted cloud data while maintaining keyword privacy. Fuzzy keyword search greatly enhances system usability by returning the matching files when users’ searching inputs exactly match the predefined keywords or the closest possible matching files based on keyword similarity semantics, when exact match fails. In our solution, we exploit edit distance to quantify keywords similarity and develop two…
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Developing Secure Social Healthcare System over the Cloud

Cloud Computing, Web | Desktop Application
Developing Secure Social Healthcare System over the Cloud Healthcare application is a social media application which is developed over the cloud. Now a day we hear two cutting edge technologies most social media and cloud computing. Developing and maintaining a healthcare system with self infrastructure well cost more. Many small hospitals save hard copies of patient’s records. This healthcare application will provide web service which is developed over the cloud so it well reduces the cost and they need not be worried about infrastructure. Cloud providers well provide up to date software so, software well be up to date. Since data is present in the cloud most of them worry about security. By using role based access control healthcare system is secured.
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Access Control Mechanisms for Outsourced Data in Cloud

Cloud Computing, Web | Desktop Application
Access Control Mechanisms for Outsourced Data in Cloud Traditional access control models often assume that the en- tity enforcing access control policies is also the owner of data and re- sources. This assumption no longer holds when data is outsourced to a third-party storage provider, such as the cloud. Existing access control solutions mainly focus on preserving con dentiality of stored data from unauthorized access and the storage provider. However, in this setting, access control policies as well as users' access patterns also become pri- vacy sensitive information that should be protected from the cloud. We propose a two-level access control scheme that combines coarse-grained access control enforced at the cloud, which allows to get acceptable com- munication overhead and at the same time limits the information that the cloud learns…
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Cloud Data Protection for the Masses

Cloud Computing, Web | Desktop Application
Cloud Data Protection for the Masses Offering strong data protection to cloud users while enabling rich applications is a challenging task. We explore a new cloud platform architecture called Data Protection as a Service, which dramatically reduces the per-application development effort required to offer data protection, while still allowing rapid development and maintenance.
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Dynamic Bandwidth Allocation in Cloud Computing

Cloud Computing, Web | Desktop Application
Dynamic Bandwidth Allocation in Cloud Computing Cloud Computing is a use of computing resources that is delivered as a service over a network. Sharing the data in the cloud depends on the network performance of the data centers. Bandwidth allocation plays a major role in sharing the resources towards the data center networks. Server performance is the major problem in cloud computing. When multiple users send a request for the same server at a time, the performance of the server is considerably decreased. So we describe a novel method of reallocating the bandwidth dynamically from passive users to active users using bandwidth mutual sharing and fair sharing technique.
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DEFENSES AGAINST LARGE SCALE ONLINE PASSWORD GUESSING ATTACKS BY USING PERSUASIVE CLICK POINTS

Cloud Computing, Web | Desktop Application
DEFENSES AGAINST LARGE SCALE ONLINE PASSWORD GUESSING ATTACKS BY USING PERSUASIVE CLICK POINTS Abstract Usable security has unique usability challenges because the need for security often means that standard human-computer-interaction approaches cannot be directly applied. An important usability goal for authentication systems is to support users in selecting better passwords. Users often create memorable passwords that are easy for attackers to guess, but strong system-assigned passwords are difficult for users to remember. So researchers of modern days have gone for alternative methods wherein graphical pictures are used as passwords. Graphical passwords essentially use images or representation of images as passwords. Human brain is good in remembering picture than textual character. There are various graphical password schemes or graphical password software in the market. However, very little research has been done…
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Efficient Privacy-Preserving Range Queries over Encrypted Data in Cloud Computing

Cloud Computing, Web | Desktop Application
Efficient Privacy-Preserving Range Queries over Encrypted Data in Cloud Computing With the growing popularity of data and service outsourcing, where the data resides on remote servers in encrypted form, there remain open questions about what kind of query operations can be performed on the encrypted data. In this paper, we focus on one such important query operation, namely range query. One of the basic security primitive that can be used to evaluate range queries is secure comparison of encrypted integers. However, the existing secure comparison protocols strongly rely on the encrypted bit-wise representations rather than on pure encrypted integers. Therefore, in this paper, we first propose an efficient method for converting an encrypted integer z into encryptions of the individual bits of z. We then utilize the proposed security primitive…
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