Lime: Data Lineage in the Malicious Environment

Intentional or unintentional leakage of confidential data is undoubtedly one of the most severe security threats that organizations face in the digital era. The threat now extends to our personal lives: a plethora of personal information is available to social networks and smartphone providers and is indirectly transferred to untrustworthy third party and fourth party applications. In this work, we present a generic data lineage framework LIME for data flow across multiple entities that take two characteristic, principal roles (i.e., owner and consumer). We define the exact security guarantees required by such a data lineage mechanism toward identification of a guilty entity, and identify the simplifying non repudiation and honesty assumptions. We then develop and analyze a novel accountable data transfer protocol between two entities within a malicious environment by building upon oblivious transfer, robust watermarking, and signature primitives. Finally, we perform an experimental evaluation to demonstrate the practicality of our protocol

A Lightweight Privacy Preserved Buyer Seller Watermarking Protocol Based on Priced Oblivious Transfer

replacing traditional selling of digital products (such as songs, videos,movies, software, books, documents, images, etc.) through shops. This mode of sale can bring the product price down as infrastructure cost in setting up shops and retail chain is reduced. On downside, however, this may increase problem of piracy as digital data can be easily copied, manipulated and transmitted. To protect copyright of owner, establish right of buyer on purchased copy and yet check data piracy, it is required that a rusted e-distribution system be built. Such a system should be able to ensure secure transaction between buyer and seller, check ownership and track the origin of unauthorized copies..The buyer seller watermarking protocols are heavyweight protocols.These protocols require large computation power and network bandwidth.The heavyweight protocols could not be used for the resource constrained devices since the devices does not support battery power.A lightweight protocol has been proposed which is best suited for the resource constrained devices. The protocol is based on a fast asymmetric encryption with novel simplification.In this approach the seller authenticates the buyer but does not learn which items are purchased. The protocol is designed in such a way that the buyers pay the right price without disclosing the purchased item, and the sellers are able to identify buyers that released pirated copies. The protocol is constructed based on the priced oblivious transfer and the existing techniques for asymmetric watermark embedding. Index Terms- Buyer–seller watermarking protocol, fair exchange, priced oblivious transfer (POT). B I

Secure and Reliable Data Transfer across Multiple Entities by Using LIME

A data distributor has given precise data to a set of evidently trusted agents. Some of the data are leaked and found in an unjustified place. The distributor must assess the probability that the splitted data came from one or more agents, as opposed to having been individually collected by others. We suggest data allocation techniques which can enhance the chance of identifying split. These strategies do not build on changes of the outsourced data. While sending data through the network there is a lot of dishonest user looking to hack useful data. A proper security should be provided to data which is send to network. To avoid this data leakage, we used the data lineage mechanism. We develop and analyze novel accountable data transfer protocol between two entities within a malicious environment by building upon oblivious transfer and robust Watermarking

A Survey Paper on Information Leakage in Malicious Environment

Purposeful or unexpected leakage of private information is no doubt an extraordinary problem amongst the most extreme security problems that organizations consider in the computerized era. This system shows a generic data lineage framework LIME for data stream above various elements that take two trademarks, viz., owner and consumer. The system characterizes the correctness of security guarantees required by such an information leakage component towards identifiable proof of a guilty party, and identify the improving non-refusing and genuineness suspicions. System then create and dissect a novel accountable data transfer protocol by extending oblivious transfer, robust watermarking, and signature primitives. It also performs an assessment regarding the coherence of the protocol , application of our framework to the necessary information leakage situations of data outsourcing and social networking organizations. System now consider LIME , lineage framework for information transfer, to be a key tread towards acheiving accountability by design

Quantum cryptography: key distribution and beyond

Uniquely among the sciences, quantum cryptography has driven both foundational research as well as practical real-life applications. We review the progress of quantum cryptography in the last decade, covering quantum key distribution and other applications.Comment: It's a review on quantum cryptography and it is not restricted to QK

PILOT : Practical Privacy-Preserving Indoor Localization Using OuTsourcing

In the last decade, we observed a constantly growing number of Location-Based Services (LBSs) used in indoor environments, such as for targeted advertising in shopping malls or finding nearby friends. Although privacy-preserving LBSs were addressed in the literature, there was a lack of attention to the problem of enhancing privacy of indoor localization, i.e., the process of obtaining the users' locations indoors and, thus, a prerequisite for any indoor LBS. In this work we present PILOT, the first practically efficient solution for Privacy-Preserving Indoor Localization (PPIL) that was obtained by a synergy of the research areas indoor localization and applied cryptography. We design, implement, and evaluate protocols for Wi-Fi fingerprint-based PPIL that rely on 4 different distance metrics. To save energy and network bandwidth for the mobile end devices in PPIL, we securely outsource the computations to two non-colluding semi-honest parties. Our solution mixes different secure two-party computation protocols and we design size-and depth-optimized circuits for PPIL. We construct efficient circuit building blocks that are of independent interest: Single Instruction Multiple Data (SIMD) capable oblivious access to an array with low circuit depth and selection of the k-Nearest Neighbors with small circuit size. Additionally, we reduce Received Signal Strength (RSS) values from 8 bits to 4 bits without any significant accuracy reduction. Our most efficient PPIL protocol is 553x faster than that of Li et al. (INFOCOM'14) and 500× faster than that of Ziegeldorf et al. (WiSec'14). Our implementation on commodity hardware has practical run-times of less than 1 second even for the most accurate distance metrics that we consider, and it can process more than half a million PPIL queries per day.Peer reviewe