Daily Archives: July 19, 2024

A Blockchain Based DevOPS for Cloud and Edge Computing in Risk Classification
Authors:Hemanth Swamy

Abstract- Overlying environments with large volumes of data are challenging to handle on a single server. Consequently, knowing how to secure unpredictable data in a changing setting is crucial. The authors express worry about the potential security risks associated with susceptible data in a distributive system based on the mobile edge. Therefore, it would seem that edge computing is a great vantage point from which to conduct training in an ecosystem based on the edge. Data security, exposure of data, and the likelihood of a data breach may all be enhanced by combining machine learning methods with blockchain’s consensus methodology and edge computing. In this study, we demonstrate how to integrate realistic ML approaches into a DevOps environment. Our system’s danger assessment is a machine learning model that estimates the risk level of each authentication attempt based on digital identity variables like IP address, browser user agent, and user behavior. Using a subset of login data variables, we validated our system and built risk classifier models to determine the amount of danger posed by users. Therefore, a way to train the shared data is via the idea of machine learning. Under the watchful eye of two-factor authentication, data security was previewed in a dataset that included several exposed, vulnerable, recovered, and protected pieces of information. Data and security vulnerabilities in smart computing edge devices, as well as their fixes, are covered in this study. Machine learning methods, including various classifiers and optimization algorithms, plus the blockchain consensus approach, provide data confidentiality in the suggested model. In addition, the authors used an edge computing setting to implement the suggested techniques by sending data in several batches to various customers. Consequently, the use of blockchain servers ensured that client anonymity was preserved. In addition, the writers used the federated learning method to train separate batches of client data. This study presents the outcomes of a training model that utilizes blockchain technology in an edge-based technology setting.

DOI: 10.61137/ijsret.vol.10.issue1.180

Published by: Kajal Tripathi

On Superconductivity, Dimensionality, and Destructive Interference: The Destructive Interference Theory of Superconductivity
Authors:-Donald J. Dodd

Abstract-The “Destructive Interference Theory of Super conductivity” is based on a hypothetical relationship between the destructive interference of phonons and the effect lower energy density has on dimensionality. This lower energy density and subsequent high number of dimensions with open apertures, higher dimensionality, allows the quantum entanglement of electrons. The hypothesis is predicated on a second hypothesis, the “Theory of Dimensionality,” describing, what Einstein characterized as a 4-dimensional spacetime fabric, as a highly dimensional sub-plank-sized quantum particle. At quantum mechanical scales, energy manifests itself as discrete packets of energy called quanta, and it should be apparent that Einstein’s spacetime fabric is no exception. Effects such as wormholes, tunneling, and quantum entanglement are confined to a highly dimensional quantum mechanical world because, at higher energy densities, in joules per meter cubed (J/m3), well below higher energy density found at room temperature, the normally open apertures of the dimensions that allow these effects, are closed. [26] The innate spring tension that holds the apertures of the many dimensions open, and allows energy to pass through them, will close in sequence from the highest dimension to the lowest as energy density increases, like a force compressing a spring. Phonon destructive interference, occurring when two matter waves of the same amplitude in opposite directions come together and cancel each other out, plays a critical role in the formation of lower energy density regions within a solid. [25] A phonon is a bosonic particle with vibration frequencies that typically range from 10 to 30 THz with an amplitude from 0.03 to 0.08 angstroms. [17] This wave-like virtual particle exhibits properties that include constructive and destructive interference, similar to the light and dark regions of the well-known double slit experiment. There is an inverse relationship between highly dimensional spacetime, referred to here as dimensionality, and the lower energy density regions caused within matter caused by the destructive interference. Spacetime is composed of highly elastic, highly dimensional, sub-plank-sized particles, whose size or dimensionality, the number of dimensions with open apertures, is inversely related to their local energy density. In other words, the open apertures of a spacetime particle, close in sequence, like a cascade, from the highest to the lowest dimension as energy density increases to its extrema – a mass approaching the speed of light. Superconductivity is one of many higher-dimensional effects of dimensionality. It occurs at and below a specific energy density when the aperture of the dimension that allows the quantum entanglement of electrons is open. Factors such as temperature and destructive interference are critical in achieving that critical energy density.

DOI: 10.61137/ijsret.vol.10.issue4.179

Published by: Kajal Tripathi