Systemic Risk and Vulnerability Analysis of Multi-cloud Environments

With the increasing use of multi-cloud environments, security professionals face challenges in configuration, management, and integration due to uneven security capabilities and features among providers. As a result, a fragmented approach toward security has been observed, leading to new attack vectors and potential vulnerabilities. Other research has focused on single-cloud platforms or specific applications of multi-cloud environments. Therefore, there is a need for a holistic security and vulnerability assessment and defense strategy that applies to multi-cloud platforms. We perform a risk and vulnerability analysis to identify attack vectors from software, hardware, and the network, as well as interoperability security issues in multi-cloud environments. Applying the STRIDE and DREAD threat modeling methods, we present an analysis of the ecosystem across six attack vectors: cloud architecture, APIs, authentication, automation, management differences, and cybersecurity legislation. We quantitatively determine and rank the threats in multi-cloud environments and suggest mitigation strategies.Comment: 27 pages, 9 figure

Ultrastructural Characterization of Serially Passaged Amastigote Like Forms of Leishmania (Leishmania) Donovani

The present study was done to establish an in vitro axenic culture of amastigote like forms of Leishmania (Leishmania) donovani (Dd-8 strain), the causative agent of Indian kala-azar. Transformation of promastigotes to amastigote like forms was induced by temperature shift from 26±1℃ to 34±1℃ at pH 7.0 in NNN medium. These forms were dividing as evidenced by flow cytometry. Scanning and transmission electron microscopic studies revealed a remarkable ultrastructural similarity of these in vitro cultured amastigotes with intracellular amastigotes. These forms have been successfully maintained for a period of more than one year, during which they have remained infective. On subjecting these forms to temperature of 26±1℃, they reverted back to the promastigote forms. Thus a simple NNN medium, free from foetal calf serum has been developed to generate large amounts of amastigote like forms which can be used for further biochemical, immunological and chemotherapeutic studies

ANALYSIS OF SAVITZKY-GOLAY FILTER FOR BASELINE WANDER CANCELLATION IN ECG USING WAVELETS

Electrocardiogram (ECG) has always been the most basic useful and low cost tool for diagnosis. Various kinds of noises can contaminate the ECG signals which lead to incorrect diagnosis. In this paper a new method is developed for removal of baseline wander based on Daubechies wavelet decomposition using adaptive thresholding techniques and Savitzky-Golay filtering. Here ECG records are taken from non-invasive fetal electrocardiogram database, noise is generated using MATLAB instructions and added to original ECG signal. In fact DWT has the quality of better signal decomposition and thresholding has the ability of removing noise from decomposed signal. If we apply Savitzky-Golay filter further then preserving the peak it can smooth out the signal without much destroying its original property. In this paper we have done a comparative study between our proposed method and conventional wavelet method consisting only Daubechies wavelet decomposition along with thresholding techniques. This comparison is done by evaluating different statistical parameters like mean square error (MSE), signal to interference ratio (SIR) and peak signal to noise ratio (PSNR)

ArsenazoIII functionalized gold nanoparticles: SPR based optical sensor for determination of uranyl ions (UO22+) in groundwater

Surface plasmon resonance (SPR) based spectrophotometric determination of UO22+ was carried out by arsenazoIII functionalized gold nanoparticles (AZ-AuNPs) based miniaturized detection assay in ground water samples. AZ-AuNPs were synthesized, characterized by transmission electron microscopy (TEM), x-ray diffraction (XRD), x-ray photoelectron spectroscopy (XPS), infrared spectroscopy (IR) and dynamic light scattering (DLS) techniques; AZ-AuNPs were of uniform size (∼10nm), dispersed, highly stable and negative charge surface. The addition of analyte (UO22+) into the detection assay led to UO22+-arsenazoIII complex formation and subsequent release of uncapped gold nanoparticules in solution. Agglomeration based SPR response of gold nanoparticles resulted in visual and spectrophotometric change in the detection assay. The UV-vis spectroscopic investigations showed changes in AZ-AuNPs characteristic absorption peak and an additional peak correspond to UO22+-arsenazoIII complex. Ratio of A650nm/A535nm was used to quantify the concentration of UO22+ in environmental samples. The method showed a linear response from 50−300 ppb (R2> 0.95) for UO22+ with the detection limit of 0.081 µM for ground water samples of total dissolve solids concentration of ∼1000 ppm

Development of a quantitative assessment method for self cleaning by photocatalytic degradation of stains on cotton

74-82This paper reports a standardised method termed as Stain Degradation Assessment (SDA) method, developed for the quantitative evaluation of self-cleaning efficiency of the finished fabric. The method involves (i) a standardized staining procedure to apply a uniform stain on the fabric, (ii) instrumental evaluation of photodegradation of stain in terms of K/S using a template to reduce error, and (iii) analysis of K/S values to evaluate stain degradation in percentage and its comparison with visual assessment. This method has been found to give a reproducible and comparable assessment of stain degradation on the textile material with respect to UV exposure

Biochemical characterization based on SDS-page analysis and correlation among traits in opium poppy (Papaver somniferum L.) germplasm

This research aimed to investigate the genetic diversity based on the pattern of seed storage protein and to establish correlation between alkaloid and seed protein content among 124 germplasm lines of opium poppy (Papaver somniferum L.). Twenty seven polypeptide bands in range of 6 to 205 kDa were recorded. Similarity index was calculated by using Jaccard’s Similarity index and cluster analysis was performed using UPGMA model. Polymorphism was observed in three variable regions i.e., high, medium and low molecular weight, among which bands of 10.4, 20, 22, 24, 30, 32, 33, 49 and 205 kDa’s were common in all the germplasms but other bands showed variation. All the 124 germplasms were broadly grouped into 13 clusters based on average linkage method. None of the trait showed significant correlation with seed protein content. The differential protein profile of the germplasms revealed wide variability and diversity among the studied germplasms which could be further used in hybridization programme to obtain maximum gain