Achieving Privacy Assured Outsourcing of Data in Cloud Using Optimalvisual Cryptography

Abstract-Security has emerged as the most feared aspect of cloud computing and a major hindrance for the customers. In existing system for establishing secure and privacy-assured service outsourcing in cloud computing which uses Linear programming and compressed sensing techniques to transform images, which aims to take security, complexity, and efficiency into consideration from the very beginning of the service flow. But it makes more complexity because the data is sent in its raw form to one cloud. The cryptography schemes are computationally more complex. In order to enhance the security and reduce the complexity, to use data obfuscation through a novel visual cryptography. A conventional threshold (k out of n) visual secret sharing scheme encodes one secret image into transparencies (called shares) such that any group of transparencies reveals when they are superimposed, while that of less than ones cannot. In the proposed work, novel multiple secret visual cryptographic schemes are used to encode the secret s images into n shares. Convert the data into basic images and send the encrypted form of image by using multiple visual cryptographic schemes. (k, n, s) -MVCS, in which the superimposition of each group of shares reveals the first, second, s th secret, respectively where s=n-k+1. The proposed system also considers visual cryptography without pixel expansion. A new scheme for visual cryptography is developed and configured for the cloud for storing and retrieving textual data. Testing the system with query execution on a cloud database indicates full accuracy in record retrievals with negligible false positives. In addition, the system is resilient to attacks from within and outside the cloud. An experimental result shows that the Complexity analysis, Security analysis, the system is tested against artificial intelligence/machine learning based attacks

Regenerative Metaplastic Clones in COPD Lung Drive Inflammation and Fibrosis

The hallmark features of COPD (inflammation, fibrosis, and mucus hypersecretion) are driven by distinct pathogenic progenitors which pre-exist as minor populations in healthy lungs but dominate in the disease state relative to normal lung stem cells. © 2020 Elsevier Inc.Chronic obstructive pulmonary disease (COPD) is a progressive condition of chronic bronchitis, small airway obstruction, and emphysema that represents a leading cause of death worldwide. While inflammation, fibrosis, mucus hypersecretion, and metaplastic epithelial lesions are hallmarks of this disease, their origins and dependent relationships remain unclear. Here we apply single-cell cloning technologies to lung tissue of patients with and without COPD. Unlike control lungs, which were dominated by normal distal airway progenitor cells, COPD lungs were inundated by three variant progenitors epigenetically committed to distinct metaplastic lesions. When transplanted to immunodeficient mice, these variant clones induced pathology akin to the mucous and squamous metaplasia, neutrophilic inflammation, and fibrosis seen in COPD. Remarkably, similar variants pre-exist as minor constituents of control and fetal lung and conceivably act in normal processes of immune surveillance. However, these same variants likely catalyze the pathologic and progressive features of COPD when expanded to high numbers