Design of an Integrated Model for Security Establishment in Iot-Enabled Software Defined Networks

Robust network designs are provided by software-defined networks (SDNs) for Internet of Things (IoT) applications, both present and future. At the same time, because of their programmability and global network perspective, SDNs are a desirable target for cyber threats. Among its primary drawbacks is the susceptibility of standard SDN architectures to Distributed Denial of Service (DDoS) flooding attacks. DDoS flooding assaults often result in a complete failure or service outage by rendering SDN controllers useless with respect to their underlying infrastructure. This study looks at popular machine learning (ML) methods for classifying and detecting DDoS flooding attacks on SDNs. Restricted Boltzmann Machine with Restricted Whales’ Optimizer (RBM-RWO) is the classifier integrated optimizer and other machine learning techniques examined. In this case study, experimental data (jitter, throughput, and reaction time measurements) from a realistic SDN architecture appropriate for typical midsized enterprise-wide networks are used to construct classification models that effectively detect and describe DDoS flooding assaults. Attackers using DDoS floods used low orbit ion cannons (LOIC), user datagram protocol (UDP), transmission control protocol (TCP), and hypertext transfer protocol (HTTP). Despite the high effectiveness of all the ML techniques examined in identifying and categorizing DDoS flooding assaults, When it came to training time is 17.5 ms, prediction speed is 7e-3 observations/s, prediction accuracy of 98%, and overall performance, RBM-RWO performed the best

Simultaneous Estimation of Gemcitabine Hydrochloride and Capecitabine Hydrochloride in Combined Tablet Dosage Form by RP-HPLC Method

A new reverse phase high performance liquid chromatography (RP-HPLC) method has been developed for the simultaneous estimation of gemcitabine hydrochloride and capecitabine hydrochloride in combined tablet dosage form. An inertsil ODS-3 C-18 column having dimensions of 250×4.6 mm and particle size of 5 µm, with mobile phase containing a mixture of acetonitrile : water : triethyelamine in the ratio of (70 : 28 : 2v/v) was used. The pH of mobile phase was adjusted to 4.0 with ortho-phosphoric acid. The flow rate was 1 mL/min and the column effluents were monitored at 260 nm. The retention time for gemcitabine hydrochloride and capecitabine hydrochloride was found to be 2.76 and 2.3 min respectively. The proposed method was validated in terms of linearity, accuracy, precision, limit of detection, limit of quantitation and robustness. The method was found to be linear in the range of 10-50 µg/mL and 4-24 µg/mL for gemcitabine hydrochloride and capecitabine hydrochloride, with regression coefficient r = 0.999 and r = 0.999, respectively

Assay of rosiglitazone by extractive spectrophotometry

ABSTRACT Two simple and sensitive extractive spectrophotometric methods have been developed for the estimation of rosiglitazone (RGL) in pure and pharmaceutical dosage forms. These methods are based on the formation of ionpair complexes of the drug with acidic dyes Solochrome black T (SBT : λmax 510 nm) and and Bromothymol Blue (BTB : λmax 420 nm). The absorbance of the chloroform extracts is measured against the corresponding reagent blanks. These methods have been statistically evaluated and found to be precise and accurate

Experimental investigation of torsional vibration isolation using Magneto Rheological Elastomer

Rotating systems suffer from lateral and torsional vibrations which have detrimental effect on the roto-dynamic performance. Many available technologies such as vibration isolators and vibration absorbers deal with the torsional vibrations to a certain extent, however passive isolators and absorbers find less application when the input conditions are dynamic. The present work discusses use of a smart material called as Magneto Rheological Elastomer (MRE), whose properties can be changed based on magnetic field input, as a potential isolator for torsional vibrations under dynamic loading conditions. Carbonyl Iron Particles (CIP) of average size 5 μm were mixed with RTV Silicone rubber to form the MRE. The effect of magnetic field on the system parameters was comprehended under impulse loading conditions using a custom built in-house system. Series arrangement of accelerometers were used to differentiate between the torsional and the bending modes of vibration of the system. Impact hammer tests were carried out on the torsional system to study its response, in the presence and absence of magnetic field. The tests revealed a shift in torsional frequency in the presence of magnetic field which elucidates the ability of MRE to work as a potential vibration isolator for torsional systems

Experimental investigation of torsional vibration isolation using Magneto Rheological Elastomer

Rotating systems suffer from lateral and torsional vibrations which have detrimental effect on the roto-dynamic performance. Many available technologies such as vibration isolators and vibration absorbers deal with the torsional vibrations to a certain extent, however passive isolators and absorbers find less application when the input conditions are dynamic. The present work discusses use of a smart material called as Magneto Rheological Elastomer (MRE), whose properties can be changed based on magnetic field input, as a potential isolator for torsional vibrations under dynamic loading conditions. Carbonyl Iron Particles (CIP) of average size 5 μm were mixed with RTV Silicone rubber to form the MRE. The effect of magnetic field on the system parameters was comprehended under impulse loading conditions using a custom built in-house system. Series arrangement of accelerometers were used to differentiate between the torsional and the bending modes of vibration of the system. Impact hammer tests were carried out on the torsional system to study its response, in the presence and absence of magnetic field. The tests revealed a shift in torsional frequency in the presence of magnetic field which elucidates the ability of MRE to work as a potential vibration isolator for torsional systems