143 research outputs found
Efficient Ciphertext Policy Attribute Based Encryption (ECP-ABE) for Data Deduplication in Cloud Storage
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Optimized Public Auditing and Data Dynamics for Data Storage Security in Cloud Computing
No full textAbstractCloud Computing is a promising service platform to access computing resources on demand over the Internet. It moves the data and applications to the large data centres where data and services can be managed in a much better manner than locally. However, its use puts forth a lot of challenging issues related to security, privacy and reliability of the overall system. In this paper, we focus on the problem of data-integrity verification(by a third party auditor) for the client's data residing on a cloud storage server(CSS). Here, we optimize an existing third party auditing protocol and make it resistant to replace, replay and forge attacks launched by malicious insiders at cloud storage server. We also propose a protocol to perform efficient block-level and fine-grained dynamic-data update operations on data stored on cloud using a modified Chameleon Authentication Tree. Extensive security and performance analysis shows that our protocols are efficient and can resist aforementioned attacks
Physical and chemical factors controlling carbon gas emissions and organic matter transformation in coastal wetlands
No full textWetlands are important sinks for the atmospheric carbon (C) and play a major role in the global carbon cycle. However, factors impacting wetland soil C transformations and C gas production are not yet well understood. Elucidating these influences is especially important to Louisiana as wetlands are being impacted by salt water intrusion, subsidence and Mississippi river water diversion activities. This study evaluates, the effects of salinity, ions in river and sea water (K+, Ca2+) , clays and electron acceptors (NO3-, SO42-) on soil C transformations as well as C gas production from Louisiana coastal wetlands. Wetland soils were collected from forest swamp (FS), freshwater marsh (FM), and saline marsh (SM) and various characterizations were carried out. Aerobic incubations showed that addition of either K+ or Ca2+ chloride salts significantly increased CO2 production from FS soil, but had little effect on CO2 production from FM soil. Clay addition (2 and 5%) to FM soil significantly decreased CO2 production compared to unamended soil (P \u3c 0.02). A combination of 5% clay and 5 mM Ca2+ further decreased the CO2 production in this soil. Increase in salinity decreased CO2 production from both FS and FM soils. In anaerobic incubations, addition of alternative electron acceptors, NO3- decreased CO2 production significantly whereas SO42- had little effect. Nitrate and SO42- decreased CH4 production but the NO3- almost completely inhibited CH4 production (\u3e99%). Among the three wetland soils, FM exhibited the greatest denitrification potential (PDR), but it also tends to yield more N2O as compared to FS and SM soils. Soil organic C has significant effect on regulating PDR (P\u3c 0.007). Among the different organic C mioties, polysaccharides positively influenced PDR (P\u3c 0.003) while phenolics had negative effect (P \u3c 0.03). Labile organic C as measured by aerobically mineralizable C was positively correlated with polysaccharides and carboxylic C. Further, characterization of humic acids (HA) in these wetland soils showed that FM HA had greater aromaticity whereas FS HA contained more aliphatic C. Increasing salinity tended to cause an increase in crystalline nature of aliphatics and guaicyl structural units in HA, suggesting more resistant HA formation
An Efficient Ciphertext Policy-Attribute Based Encryption for Big Data Access Control in Cloud Computing
No full textAttribute based encryption in cloud computing: A survey, gap analysis, and future directions
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SOFTWARE RELIABILITY ESTIMATION USING SRGM
No full textSoftware Reliability Growth Model is a scientific model that helps in how the operating system trustworthiness improves as faults are detected and corrected. The dense of SRGM is judged by its proficiency to fit the shareware deficiency data. How good does an analytical create fit to the data and accuracy of shareware is granted in the flood card. The current representation is Gompertz sculpt. MLE purpose is to predict the wear specifications. To evaluate the drama of the treated Software Relistrength Growth Model, we have drifting out the framework reckoning on the real groupware bankruptcy data sets
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