Authentication of Moving Top-k Spatial Keyword Queries

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An Enhanced TBAHIBE-LBKQS Techniques for Privacy Preservation in Wireless Network

In recent days, providing security to the data stored in wireless network is an important and challenging task. For this purpose, several existing privacy preservation and encryption algorithms are proposed in the existing works. But, it has some drawbacks such as, high cost, required more amount of time for execution and low level security. In order to overcome all these drawbacks, this paper proposes a novel technique such as, Tiered Blind and Anonymous Hierarchical Identity Based Encryption (TBAHIBE) and Location Based Keyword Query Search (LBKQS) for providing privacy preservation to the data stored in wireless network environment. In this work, the privacy is provided to the packet data stored in the Electronic Health Record (EHR). It includes two modules such as, secure data storage and location based keyword query search. In the first module, the packet data of the egg and, receptor, doctor and lab technician are stored in the encrypted format by using the proposed TBAHIBE technique. Here, the authenticated persons can view the packet data, for instance, the doctor can view the donor and receptor packet details. In the second module, the location based search is enabled based on the keyword and query. Here, the doctor, patient and other users can fetch the packet details in a filtered format. The main advantage of this paper is, it provides high privacy to the packet data in a secured way. The experimental results evaluate the performance of the proposed system in terms of computation cost, communication cost, query evaluation, encryption time, decryption time and key generation time

A Privacy Protection Mechanism for Mobile Online Social Networks

A Location sharing system is the most critical component in mobile online social networks (MOSNS).Huge number of user\u27s location information will be stored by the service providers. In addition to the location privacy and social network privacy cannot be guaranteed to the user in the earlier work. Regarding the enhanced privacy against the inside attacker implemented by the service provider in (MOSNS), we initiate a new architecture with multiple servers .It introduces a protected solution which supports a location sharing among friends and strangers. The user friend set in each query is submitted to the location server it divides into multiple subset by the location server. If the user makes a query to the server the data can be retrieved only for the registered users instead of all. We use Three Layer of Security likely, High, Medium and Low for the Privacy implementation. Simultaneously with a location sharing it offers check ability of the searching results reoccurred from the servers. We also prove that the new construction is safe under the stronger security model with enhanced privacy

Privacy-Preserving Outsourced Media Search

International audienceThis work proposes a privacy-protection framework for an important application called outsourced media search. This scenario involves a data owner, a client, and an untrusted server, where the owner outsources a search service to the server. Due to lack of trust, the privacy of the client and the owner should be protected. The framework relies on multimedia hashing and symmetric encryption. It requires involved parties to participate in a privacy-enhancing protocol. Additional processing steps are carried out by the owner and the client: (i) before outsourcing low-level media features to the server, the owner has to one-way hash them, and partially encrypt each hash-value; (ii) the client completes the similarity search by re-ranking the most similar candidates received from the server. One-way hashing and encryption add ambiguity to data and make it difficult for the server to infer contents from database items and queries, so the privacy of both the owner and the client is enforced. The proposed framework realizes trade-offs among strength of privacy enforcement, quality of search, and complexity, because the information loss can be tuned during hashing and encryption. Extensive experiments demonstrate the effectiveness and the flexibility of the framework