Asian Journal of Convergence in Technology
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An Analysis of Common Vulnerabilities and Exposures in View Of MITRE ATT&CK
Get PDFDue to the ever-increasing threat posed by cyber-attacks on important cyber infrastructure, companies are focusing on expanding the knowledge base on cyber security. The Universal Vulnerabilities and Exposures (CVE), that were a selection of vulnerabilities known as the Common Vulnerabilities and Exposures that may be discovered in a wide variety of applications and hardware and which are the most commonly exploited, are the most important things to know about security. They are troublesome, though, because many vulnerabilities do not have a mechanism of dealing with them, making it hard for an attacker to take use of them. ATT&CK, a well-known cyber security risk management methodology, provides mitigation solutions for a wide range of destructive tactics, according to the MITRE Corporation. In the National Vulnerability Database (NVD), there is a collection of security defects that have been publicly revealed, which is referred to as Common Vulnerabilities and Exposures (CVEs) (CVE). In this case various figure of CVE listings, however a few of missing crucial data, like as the type of vulnerability. during this article, our techniques for used Common Vulnerabilities and Exposures data interested in weakness classes by employing a naive Bayes classifier to categories the entries. To assess the classification capabilities of the approach, a set of testing data is gathered and analyzed
Mitigating Security and Privacy issues in IoT Application using Blockchain: A Review
Get PDFWe live in a world where everything is connected via the Internet of Things (IoT). Despite this, IoT privacy remains a serious challenge, particularly due to IoT networks' vast scale and dispersed nature. Using protected solutions, such as incorporating blockchain technology into privacy-based services, is one approach to privacy-related concerns. Various Internet of Things security and authentication issues have been resolved by the decentralized nature of blockchain technology. This paper examines how blockchain technology mitigates the security and privacy concerns of IoT networks. In addition, we investigate the structure and uses of blockchain technology for recommender system privacy and trust management solutions. The limitations of adopting the blockchain technology also discussed. From the analysis of literature works, the blockchain technology could be able to circumvent IoT limitations such as data security and privacy. In addition, it may offer IoT customers distributed storage, transparency, trust, safe distributed IoT networks, and privacy and security assurance
Fault Diagnosis of Rolling Contact Bearing by using ANN and SVM techniques
Get PDFIn this paper, an examination of the condition seeing of the roller contact bearing is presented. Bearing model data includes four novel conditions as having defective interior race, inadequate outer race, having deserts on roller and a strong bearing. For the preparation of the model bearing, laser machine is used for show of the smaller than normal size deserts on the surfaces. An alarming dissatisfaction of the moving contact bearing could cause immense financial adversities. Along these lines, inadequacy end in bearing has been the subject of genuine assessment. Vibration signal assessment has been comprehensively used in the weakness acknowledgment of turn contraption. Bearing example information comprises of four unique circumstances as having faulty inward race, blemished external race, having surrenders on roller and a solid bearing. For the arrangement of the example bearing, laser machine is utilized for presentation of the miniature size deserts on the surfaces. Support Vector Machine (SVM), Artificial brain organization (ANN) are utilized with highlight positioning technique for the information preparing reason and their adequacy of recognizing the condition is the significant reason. Highlight positioning technique is the better approach for sifting the right information in right succession for the information preparing. In results, ANN saw as more exact in examination with SVM
Deployment of Medibot in Medical Field
Get PDFDuring this pandemic situation, most of people's health care is in the need of medicine and doctors' suggestions to improve and protect their health. Also, have seen many such cases where many people have been infected by COVID. To reduce physical contact and help the people from the spread of diseases the proposed methodology is to implement the medibot in hospitals. A medical bot is a Chatbot that uses NLP (Natural Language Processing) by text format. The medibot is supported by AI and Deep Learning for Medical Diagnostics. The goal of the project is to create a medibot that overcomes the proposed methodology. Many people could not meet the doctors for simple problems such as cold and fever. To reduce these cases will implement the medibot. This medibot can communicate with the patients and understand the symptoms, it will also give them medicines
Automated Attendance and Monitoring system using Machine Learning
Get PDFThe conventional attendance method is arbitrary, inefficient, and time consuming. The proposed solution aims to increase the attendance system's adaptability and performance. To improve and upgrade the current attendance system, this study describes a face acknowledgment based participation checking framework for instructive foundations. Face detection and identification technology will be used behind the scenes. Understudies whose countenances are perceived are promptly gotten participation, which is refreshed in the EXCEL sheet alongside the time the face is perceived. A wire bunch contains the names of the understudies who are missing from class. Students who are present in class for a specified period of time are rewarded attendance. This is accomplished by monitoring. The entire database is uploaded to the cloud and can be accessed at any time
Fabrication of Conductive Polyurethane by using Silica Nanoparticles
Get PDFPlastic is a type of organic polymer material that can be shaped or molded as per the required applications. They are characterized by resistance to corrosion, electrical conductivity, malleability, colors, transparency, durability, and cost. One of the important parameter is electrical conductivity of plastic to weight ratio. By adding additives to plastics the electrical properties are manipulated as per application. This work reports the development of conducting polyurethane for electronic applications It includes synthesis of silica nanoparticles using sol-gel process and its characterization using microscopic, spectroscopic results and conductivity results
A Random and Scalable Blockchain Consensus Mechanism
Get PDFThe central piece of blockchain technologies is the consensus algorithm. The consensus is reached via consensus algorithms in the distributed network of the blockchain. The consensus becomes stronger if nearly all the nodes in the blockchain network take part in building the blockchain. Even if some nodes misbehave or malfunction, the consensus should not break down then. Since blockchain networks are distributed, even if some regions of the network or some nodes of the network leave, the blockchain network should not malfunction and it should be consistent. Therefore, the consistency of the blockchain transactions should be assured by all the nodes or nearly all the nodes, or most of the nodes. In other words, the consensus should be the issue of all the nodes. In this work, a novel consensus algorithm is presented to diffuse the mission of building the blockchain to all the nodes. In other words, the consensus should be the issue of all the nodes. In this work, a novel consensus algorithm is presented to diffuse the mission of building the blockchain to all the nodes. The algorithm increases the randomness of nodes and enforces the blockchain network to be more decentralized. Randomness is realized by employing the power of cryptography, especially by using public keys as a characteristic for miners, which are also called signers. Moreover, since the algorithm is realized with a few operations, it contributes to the scalability of the blockchain. Furthermore, digital signatures improve the security level and consistency of the blockchain
Determination of Antagonistic Effect of CuO NPs against Bacterial Cultures
Get PDFBacterial cultures are capable of causing infections to the humans. These bacteria can be killed or inhibited by special compounds called antibacterial agents. These compounds are generally not toxic to humans as most of the compounds are obtained from natural sources, such as, b-lactams (like penicillins), cephalosporins. Overuse of traditional antibacterial drugs, resistance may develop by bacterial cells, which ultimately leads to pose greatest health challenges by occurrence of infectious diseases. Therefore, development of non-resistance alternative antibacterial agents for better antibacterial efficacy is mandatory. This paper reports on the synthesis of copper oxide nanoparticles carried out by chemical precipitation method and explored its antibacterial efficacy against hospital borne bacterial infections. Copper oxide nanoparticles were synthesized by solvothermal route. The screening of antimicrobial activity of copper oxide nanoparticles was studied on the bacteria Staphylococcus aureus NCIM 2079 and Bacillus cereus NCIM 5293 by Anti Well Diffusion Assay (AWDA) on nutrient agar (NA) medium. It was evident that the Staphylococcus aureus was more sensitive for CuO NPs compared to Bacillus cereus. The synthesized CuO-NPs showed remarkable antibacterial activity against Bacillus cereus and Staphylococcus aureus. Minimum Inhibitory (MIC) and Minimum Bactericidal Concentration (MBC) of CuO-NPs were determined by calculating concentration dependent colony forming units per milliliter (CFU/mL) on agar plate. To synthesis of copper oxide nanoparticles carried out by chemical precipitation method and explored its antibacterial efficacy against hospital borne bacterial infections
Domain-Specific Hybrid BERT based System for Automatic Short Answer Grading
Get PDFEffective and efficient grading has been recognized as an important issue in any educational institution. In this study, a grading system involving BERT for Automatic Short Answer Grading (ASAG) is proposed. A BERT Regressor model is fine- tuned using a domain-specific ASAG dataset to achieve a baseline performance. In order to improve the final grading performance, an effective strategy is proposed involving careful integration of BERT Regressor model with Semantic Text Similarity. A set of experiments is conducted to test the performance of the proposed method. Two performance metrics namely: Pearson’s Correlation Coefficient and Root Mean Squared Error are used for evaluation purposes. The results obtained highlights the usefulness of proposed system for domain specific ASAG tasks in real life
Authentication System Based Palmprint Recognition Using Simple Structured Neural Network
Get PDFBiometrics technology is gaining popularity every day. In most countries nowadays, academics are focusing their efforts on biometrics because it has an important function in security. Analyzing a large number of security cases provided researchers with significant motivation to conduct additional research and develop new ideas. Biometrics technology also has multiple uses outside of the security industry, including civil, commercial, and industrial applications. Biometrics measures and analyzes unique physical and behavioral characteristics of people. Palmprints are currently considered the preferred biometric for application in highly sensitive access control environments such as federal buildings, airports, and other critical locations. Palmprint contains a more distinctive feature and does not require a high-resolution palmprint image, unlike other biometric characteristics. This paper involves designing of high accuracy palm recognition system using simple structured neural network called single hidden layer neural network. accuracy score for the proposed state of the art is found 91.3 %