Improved Storage Security using IDS and Performance using Container De-Duplication

Due to enormous increase in use of web services in our day today life, web services have moved to multitier design where in web server runs the application front-end logic and data are outsourced to a database or file server. In our system, we will implement secure de-duplication which is a technique for eliminating duplicate copies of data, it has been largely used in cloud storage to reduce storage space and upload bandwidth with Container security, an IDS system that models the network acts as user sessions across both front-end web server and back-end database. By monitoring both the web and subsequent database requests, we are capable to search out attacks that an independent Intrusion Detection System (IDS) unable to identify. In this system, each user requesting for our application will be allocated separate container. The container based web architecture not only fasters profiling of causal mapping, but it also provides an isolation that obstruct future session hijacking attacks .Each user will hold de-key which is a new construction in which users do not require to manage any keys on their own but as an alternative securely distribute the convergent key shares across multiple servers. We implement De-key to demonstrate that De-key incurs limited overhead in realistic environments

An Efficient and Green Procedure for the Preparation of Acylals from Aldehydes Catalyzed by Alum [KAl(SO4)2.12H2O]

Alum [KAl(SO4)2.12H2O] is an inexpensive, efficient, non-toxic and mild catalyst for the preparation of acylals from aromatic and heteroaryl aldehydes with acetic anhydride at room temperature under solvent-free conditions. This method gives remarkable advantages such as excellent chemoselectivity, mild reaction conditions, short reaction times and excellent yields, and offers a green synthetic solution by avoiding toxic catalysts and hazardous solvents.Keywords: Alum, acylals, aromatic and heteroaryl aldehydes, solvent-free synthesis, room temperatur

A validated RP-HPLC method for simultaneous determination of Hydrochlorothiazide and Losartan Potassium in pharmaceutical formulation

A new, simple and sensitive reverse phase high performance liquid chromatographic (RP-HPLC) method has been developed for the separation and quantification of Hydrochlorothiazide (HCTZ) and Losartan Potassium (LOS) in tablet dosage form. The determination was carried out using GRACE C18 [4.6 x 250 mm] column as a stationary phase and mobile phase comprised of Acetonitrile: Phosphate Buffer(50 : 50) pH 3.1 in proportion of 50:50(v/v); the pH of phosphate buffer adjusted to (3.1) using orthophosphoric acid. The flow rate was maintained at 1.0ml/min and the eluent was monitored at 226nm.The retention time of MET and VILD were 4.250 min and 8.300 min respectively. The method was validated in terms of linearity, precision, accuracy, specificity and robustness. The method was linear and for precision studies; RSD for HCTZ and LOS were 0.02 and 0.04 respectively. The percentage recoveries for both drugs from their tablets were 100.80 and 99.76 respectivel

Serum zinc and copper levels: a marker of disease activity in senile cataract patients

Background: The present study was aimed to study alterations in levels of zinc and copper in senile cataract patients.Methods: 25 senile cataract patients in age group of 50 to 80 years and 25 control group were included in the study. Serum zinc and copper levels were determined by colorimetric method.Results: Significantly increased levels of serum zinc in cataract patients (199.8±24.32 µg/dl) were found as compared to controls (85.80±3.6 µg/dl) (p<0.0001). Serum copper concentration in cataract patients (249.5±34.59 µg/dl) were significantly (<0.0001) increased when compared to controls (125.7±4.66 µg/dl).Conclusions: Copper and zinc are involved in the pathogenesis of cataracts by different mechanisms such as damaging lipid membranes and lens capsule, crosslinking and in solubilization of lens proteins, leakage of beta and gamma crystalline into the aqueous humour through the production of hydroxyl radicals and peroxyl radicals. So, abnormal elevation of serum copper and zinc can be used as a marker in the opacification of the lens cortex in age-related human cataract

Nanostructured La0.7Sr0.3MnO3 compounds for effective electromagnetic interference shielding in the X-band frequency range

We report a detailed study on the electromagnetic interference (EMI) shielding effectiveness (SE) properties in La0.7Sr0.3MnO3 (LSMO) nanomaterials. The samples were prepared by a solution chemistry (sol-gel) route at different sintering temperatures. The single-phase samples with grain sizes of 22 and 34 nm showed DC electrical conductivity variation from 0.65 to 13 S cm(-1) at room temperature. The application of a high magnetic field resulted in higher conductivity values. The electrical conductivity variation with temperature could be fitted with a variable range hopping mechanism in a limited temperature range. The variation of frequency dependent electromagnetic parameters measured at room temperature within the X-band region is consistent with the electrical conductivity behavior. The complex permittivity and permeability parameters were determined in line with the Nicolson-Ross-Weir algorithm. The LSMO nanomaterial samples showed EMI shielding effectiveness values of up to 19 dB (96.3% attenuation) over the X-band frequency range, making them suitable for microwave radiation shielding in commercial and defense appliances

Oxidative stress versus inflammation, a better predictor of cardiovascular disease risk in polycystic ovary syndrome

Background: Polycystic ovary syndrome (PCOS) is also known as hyperandrogenic anovulation (HA) or Stein-Leventhal syndrome. PCOS has a diverse range of causes that are not entirely understood, but there is evidence that it is largely a genetic disease. Aim of the study was to evaluate better predictor of cardiovascular disease risk in women with polycystic ovary syndrome.Methods: 50 diagnosed patients of PCOS and 50 age matched healthy females were included in this study. Cases were diagnosed based on new Rotterdam criteria formulated by the American Society for Reproductive Medicine (ASRM). Fasting Blood samples were collected. Serum High sensitivity-C reactive protein (hs-CRP) and Malondialdehyde (MDA) were estimated.Results: Results were analyzed using unpaired t-test and p-value was calculated. Statistically non-significant increased levels of serum hs-CRP in PCOS cases as compared with controls were observed. MDA was found to be significantly increased in cases as compared to controls. ROC curve analysis shows MDA as a more specific predictor of cardiovascular disease risk in PCOS compared to hs-CRP.Conclusions: Increase in the serum MDA level indicates increased formation of reactive oxygen species and lipid peroxidation which leads to increased oxidative stress and this may increase cardiovascular disease risk in PCOS. hs-CRP a marker of chronic inflammation was not significantly increased in PCOS

A Review on Malicious URL Detection using Machine Learning Systems

Malicious web sites pretendsignificant danger to desktop security and privacy.These links become instrumental in giving partial or full system control to the attackers. This results in victim systems, which get easily infected and, attackers can utilize systems for various cyber-crimes such as stealing credentials, spamming, phishing, denial-of-service and many more such attack. Detection of such website is difficult because of thephishing campaigns and the efforts to avoid blacklists.To look for malicious URLs, the first step is usually to gather URLs that are liveon the Internet. There are various stages to detect this URLs such as collection of dataset, extracting feature using different feature extraction techniques and Classification of extracted feature. This paper focus on comparative analysis of malicious URL detection techniques

Supply Chain Tracing and Anti-Counterfeiting with Distributed Ledger Technology

In recent times, there has been a rampant proliferation of counterfeit products that has left a trail of devastation in the manufacturing sectors. The repercussions of this extend to companies, impacting their brand reputation, revenue streams and overall profitability. Industries like agriculture, banking, electronics, and high-value deliveries uses the emergence of blockchain technology as a powerful tool to discern between authentic and counterfeit items. Its potential as a means to curtail the influx of fake products in the market is substantial. Blockchain technology, at its core, operates as a decentralized and distributed digital ledger system, meticulously recording transactions within interconnected blocks across multiple databases. The inherent security of this technology ensures the immutability of these blocks, rendering them invulnerable to alteration or hacking. By leveraging blockchain technology, consumers can independently verify the authenticity of a product, eliminating the need for reliance on third-party intermediaries. Incorporating recent technological advancements, the utilization of Quick Response (QR) codes offers a robust approach to combat the proliferation of counterfeit goods. The integration of blockchain technology with QR codes serves as a means to uphold the integrity of products. This innovative system securely stores product details and unique codes in the form of blocks,&nbsp; where QR codes play a pivotal role in collecting and matching these unique codes with entries in the blockchain database. If the QR code matches with entries in the database, the user receives a confirmation of the product's authenticity; otherwise, an alert is triggered, signaling the presence of a counterfeit product