Intelligent Way of Secure and Privacy Preserving Information Brokering

In recently large amount of information are collected in multiple organizations like health care organization, Law enforcement center, and government system. This needs of inter communication security through efficiently information sharing. Information Brokering System is collecting and re?distributing information among organization. Information brokering system fully trust on broker, who satisfied user requirement to find out particular data server without knowing address which contain data which user want. Large amount of detail data broker are collected from million providers authenticate user and routing the request to particular user. With increasing protection and privacy of data we introduce Preserve & secure privacy information brokering system. In that system fully trusted on broker we produce broker-coordinator overlay. The sensitive data encrypted before outsourcing user & data privacy. To enrich privacy used Cryptosystem with the use of Selective encryption using AES. We focused two types of privacy attacks namely inference attack and attribute-correlation attack. Solutions of this problem for preventing these attacks are automaton segmentation & segment encryption. By using these algorithm the PPIB system using web platform will require less time than Distributed PPIB. DOI: 10.17762/ijritcc2321-8169.15074

Distributed Secure and Privacy-Preserving Information Using Brokering System

Abstract-Interaction between entities that may not trust each other is now commonplace on the Internet. It focuses on the specific problem of sharing information between distrusting parties. Previous work in this area shows that privacy and utility can co-exist, but often do not provide strong assurances of one or the other. To sketch a research agenda with several directions for attacking these problems, considering several alternative systems that examine the privacy vs. utility problem from different angles. Therefore to propose a novel approach to preserve privacy of multiple stakeholders involved in the information brokering process. First of all to define two privacy attacks, namely attribute-correlation attack and inference attack, and propose two countermeasure schemes such as automaton segmentation and query segment encryption to securely share the routing decisionmaking responsibility among a selected set of brokering Servers. With comprehensive security analysis and experimental results, shows that our approach seamlessly integrates security enforcement with query routing to provide system-wide security with insignificant overhead. Keywords -Access control, information sharing, privacy. I.INTRODUCTION Along with the explosion of information collected by organizations in many realms ranging from business to government agencies, there is an increasing need for interorganizational information sharing to facilitate extensive collaboration. While many efforts have been devoted to reconcile data heterogeneity and provide interoperability, the problem of balancing peer autonomy and system coalition is still challenging. Most of the existing systems work on two extremes of the spectrum, adopting either the query-answering model to establish pair wise client-server connections for ondemand information access, where peers are fully autonomous but there lacks system wide coordination, or the distributed database model, where all peers with little autonomy are managed by a unified DBMS. Unfortunately, neither model is suitable for many newly emerged applications, such as healthcare or law enforcement information sharing, in which organizations share information in a conservative and controlled manner due to business considerations or legal reasons. Take healthcare information systems as example. Regional Health Information Organization (RHIO) In previous study brokers. Queries are sent to the local broker and routed according to the metadata until reaching the right data server(s). In this way, a large number of information sources in different organizations are loosely federated to provide a unified, transparent, and on-demand data access.While the IBS approach provides scalability and server autonomy, privacy concerns arise, as brokers are no longer assumed fully trustable-the broker functionality may be outsourced to third-party providers and thus vulnerable to be abused by insiders or compromised by outsiders. It presents a general solution to the privacypreserving information sharing problem. First, to address the need for privacy protection. Here, propose a novel IBS, namely Privacy Preserving Information Brokering(PPIB). It is an overlay infrastructure consisting of two types of brokering components, brokersand coordinators. The brokers, acting as mix anonymizer In this paper is organized as follows introduce the related work in Section II, and discuss the privacy requirements and threats in the information brokering scenario in Section III, and Section IV, its present two core brokering schemes and the types as follows. Thendiscuss the construct the maintenance in Section V, evaluate the performance in Section VI, and conclude future work in Section VII. II. RELATED WORKS Research areas such as information integration, peer-to-peer file sharing systems and publish-subscribe systems provide partial solutions to the problem of largescale data sharing. In this section, the discussed about the Information integration system, Automation segmentation and XML query routing. A. INFORMATION BROKERING SYSTEM Information integration approaches focus on providing an integrated view over a large number of heterogeneous data sources by exploiting the semantic relationship between schemas of different sources [8]- While PPIB aims to locate relevant data sources for a given query and route the query to these data sources.PPIB addresses more privacy concerns other than anonymity, and thus faces more challenges. B. NON-DETERMINISTIC FINITE AUTOMATON It adopts an NFA-based query rewriting access control scheme proposed recently in [15], It adopt the Nondeterministic Finite Automaton (NFA) based approach as presented in C.XML QUERY ROUTING Research on distributed access control is also related to work gives a good overview on access control in collaborative systems The eXtensible Markup Language (XML) has emerged as the de facto standard for information sharing due to its rich semantics and extensive expressiveness. We assume that all the data sources in PPIB exchange information in XML format, i.e., taking XPath[16] queries and returning XML data. Note that the more powerful XML query language, XQuery, still uses XPath to access XML nodes. In XPath, predicates are used to eliminate unwanted nodes, where test conditions are contained within square brackets. To specify the authorization at the node level, fine-grained access control models are desired. In particular, specialized data structures are maintained on overlay nodes to route XML queries. In [3], a robust mesh has been built to effectively route XML packets by making use of self-describing XML tags and the overlay networks. Koudset al. also proposed a decentralized architecture for ad hoc XPath query routing across a collection of XML database

Enforcing Secure and Privacy-Preserving Information Brokering in Distributed Information Sharing

Today’s organizations raise an increasing need for information sharing via on-demand access. Information Brokering Systems (IBSs) have been proposed to connect large-scale loosely-federated data sources via a brokering overlay, in which the brokers make routing decisions to direct client queries to the requested data servers. Many existing IBSs assume that brokers are trusted and thus only adopt server-side access control for data confidentiality. However, privacy of data location and data consumer can still be inferred from metadata (such as query and access control rules) exchanged within the IBS, but little attention has been put on its protection. In this article, we propose a novel approach to preserve privacy of multiple stakeholders involved in the information brokering process. We are among the first to formally define two privacy attacks, namely attribute-correlation attack and inference attack, and propose two countermeasure schemes automaton segmentation and query segment encryption to securely share the routing decision making responsibility among a selected set brokering servers. With comprehensive security analysis and experimental results, we show that our approach seamlessly integrates security enforcement with query routing to provide system-wide security with insignificant overhead

Privacy Preserving Attribute Based Encryption for Multiple Cloud Collaborative Environment

In a Multiple Cloud Collaborative Environment (MCCE), cloud users and cloud providers interact with each other via a brokering service to request and provision cloud services. The brokering service considers several pieces of data to broker the best deal between users and providers which can subsequently risks the privacy and security of MCCE. In this paper, we propose a Privacy Preserving Attribute-Based Encryption(PPABE) scheme which protects MCCE from a compromised broker. The proposed encryption scheme preserves the privacy by employing data access policy over sets of attributes. The identifying attributes are anonymoized using pseudonyms. The data access policy is further anonymized so as it remain unknown to unauthorized parties. The PP-ABE achieves unlinkability between different data items which flows through the collaborative cloud environment and preserves the privacy of cloud users and cloud providers