Volume 11 | Issue 3 |

 Abstract

Cancer is one of the most deadly diseases. In addition, breast cancer is the most common cancer in women and can be fatal if untreated. Despite substantial improvements in medical technology over the years, a biopsy is still the only effective way to find breast cancer. Pathologists can detect cancer using microscopic histology images. Visualizing cancer is a challenging task that requires a lot of skill, creativity, and focus. Hence, a quicker and more accurate way of detecting breast cancer is needed. As a result of advancements in machine learning and image processing, numerous sorts of research are being conducted to create an efficient partially or totally computer monitored diagnosing system. In this study, invasive ductal carcinoma was diagnosed and classified utilising

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 Keywords

Deep learning, convolutional neural network (CNN), VGG19, Inception, Resnet, and dataset of breast cancer images.

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 Abstract

One of the most popular ways to protect data secrecy in many real-world applications, such as cloud-based data storage systems, is using encryption technologies. However, the production of encrypted data in a largely "static" format may obstruct further data processing. For computation or other purposes, encrypted data might need to be "converted" into another format. The idea of encryptions witching was first put up for conversion, namely between Paillier and ElGamal encryptions, in order to allow encryption to be employed in another device equipped with a different encryption mechanism. The conversion between traditional identity-based and attribute-based encryptions is taken into consideration in this research, and it also makes a concrete construction suggestion using the proxy re-encryption technique. In the standard model, it is demonstrated that the design is CPA secure under the q-decisional parallel bilinear Diffie-Hellman exponent assumption. The performance comparisons show that, especially when the client's data is encrypted and outsourced to a distant cloud, our bridging technique lowers compute and communication costs on the client side. In practise, it is acceptable to incur the computational overhead associated with re-encryption (on the server side) and decryption (on the client side).

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 Keywords

CPA security, identity-based encryption, attribute-based encryption, encryption switching, data security.

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 Abstract

T 2 DNS is a third-party DNS service that we created. T 2 DNS provides client trustworthiness evidence, protects clients from channel and server attackers, is compatible with the current Internet infrastructure, and introduces bounded overhead while serving client DNS queries. T 2 DNS uses an encryption and obfuscation hybrid protocol to protect user privacy, and Intel SGX is used to power its service proxy. Scaling the initialization procedure, limiting the obfuscation overhead, and fine-tuning useful system parameters are obstacles we successfully overcame. We develop a T 2 DNS prototype, and testing demonstrates that it is completely functional, has a manageable overhead when compared to alternative alternatives, and scales to the number of customers.

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Ethereum, smart contracts, DNS security, block chains.

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Blockchain enables us to design a decentralised environment free from interference from outside parties. Every completed transaction is permanently validated and recorded in a public ledger. We suggest a global platform for managing student data and attendance based on blockchain technology. It makes up an internationally reputable, decentralised network for managing student data, attendance, and file sharing that can provide security at the level of a school or higher educational institution.

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 Keywords

Block chain in student management system, student registration system.

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Although difficult, controlling viral propagation over intricate networks on a tight budget has received a lot of attention. In order to restrict viral spread, this article seeks to answer the combinatorial, discrete resource allocation problems (RAPs). A co-evolutionary algorithm with network-community-based decomposition is offered as an evolutionary divide-and-conquer method to address the challenges of growing network scales and boost solving effectiveness. It is distinguished by its use of a community-based dividing strategy and cooperative co-evolutionary philosophy. Secondly, in order to decrease the time complexity, NCD-CEA separates a network into numerous communities using a modified community detection technique, resulting in a clustering of the variables that are most important to the solution. Then, the problem and the global swarm are divided into smaller problems and smaller swarms using low-dimensional Second, an alternate evolutionary strategy that promotes the evolution of sub swarms and the global swarm in turn, with sub solutions assessed by local fitness, is meant to produce high-quality solutions.

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 Keywords

Resource distribution, networked systems, spreading control, cooperative coevolution (CC).

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The most common gynaecological malignancy that causes serious issues for women if left untreated is cervical cancer. This study exhibits various classification algorithms and demonstrates the benefit of feature selection methodologies for the most accurate cervical cancer disease prediction. The amount of patient digital system data in the healthcare industry is utilised to extract information and predict immune deficiency syndrome, which aids in patients' informed decision-making. To help patients understand the reports' material better, a health recommender system is employed. For feature selection in the proposed model, we employ wrapper techniques with the K Nearest Neighbor (KNN) classifier, and Multi Objective Algorithm (MOA) has been identified. is utilised in this system for feature selection as the most effective evolutionary algorithm to choose the key features with less complexity as compared to other conventional feature selection approaches. The dataset for the implementation and accuracy of the cervical cancer risk classification has been used as the assessment parameter.

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K-Nearest Neighbor Algorithm, Multi Objective Algorithm, Feature Selection, Prediction, Health Recommender System

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This article discusses the Content Security Policy (CSP) header, which is now the most popular defence against Cross-Site Scripting (XSS) assaults. It is stressed that the CSP header implementation is a comparatively easy way to raise the security level of Internet-based communication between people and devices. This makes it possible to precisely define the communication parties and web service assets utilised in the environments where secure web services are essential, such as web applications and Internet of Things (IoT) networks. As straightforward and efficient reporting is a natural element of the CSP design, administrators can be alerted to active attacks practically immediately. On real-world situations, the advantages of implementing CSP for communication are shown, as well as how simple it is to spread CSP.

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Information security, organisation personnel, security planning and control

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COVID-19 has been a global disruptor. In many cases due to uncertainty and limited information, the pandemic has created chaos across business and private activity; education is no exception. The reality of the limited flexibility of existing systems of teaching was immediately acknowledged by the closure of physical facilities and the subsequent migration to online teaching. In this perspective the present study explores the Effect of few background variables on covid crisis management. Objectives of the study were to find whether secondary school teachers with respect to Educational qualifications & Teaching Experience differ in their covid crisis management. Samples of 200 teachers belonging to secondary schools of Bangalore district, Karnataka during the academic year 2021-22 were selected. Data pertaining to the covid crisis management were collected through simple random sampling techniques through survey method. The tool used for the present study was covid crisis management scale developed by Dr. T. Pradeep Kumar (2021) was adopted. The separate variance model of t-test was used for testing the hypotheses for the significance of mean difference in the covid crisis management scores of various groups was compared. Results revealed that Secondary school teachers having bachelors and master degree, Junior and senior teaching experienced do not differ significantly on covid crisis management.

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Covid, Pandemic, Variables, Management, Crisis

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India is called as subcontinent historically, the Indian subcontinent has been likened to be a deep net into which various races and people have drifted and been caught and their diverse origin has dictated variety. Geographical conditions forced these varied people to stay together in a multiple society imposing on them what has been described by historians as "unity in diversity." Most of the societies in the region are predominantly patriarchal with women's role confined to house-hold. For the predominantly agricultural economies of India currently, rural development is the core issue of development in India. Currently, the whole world is in a flux of transformations in social structures, cultural values and behavioral patterns due to modernization process. People move around the world, migrate and return, live abroad and raise children abroad. They are bound to live together with other ethnic and cultural groups, the process of modernization has its impacts everywhere and India region is no exception. Cowgill has defined modernization as follows Modernization is the transformation of a total society a relatively rural way of life based on animate power, limited technology, relatively undifferentiated institutions , parochial and traditional outlook and values, toward a predominantly urban way of life based on inanimate source of power , highly developed scientific technology, high differentiated institutions matched by segmented individual roles, and a cosmopolitan outlook which emphasizes efficiency and progress.

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modernization, family, mental health, technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Although it generates discolouration and a damp sensation, sweating is a sign of health. The modern man looks for answers to these issues. The design, manufacture, and performance evaluation of a disposable herbal underarm pad are covered in this work. This pad is not designed to prevent sweating; rather, it absorbs sweat and provides a dry feel. The article is divided into three main parts. The first part discusses the design and production of the pad, including a brief history of disposable pads and their use in daily life. The second part analyses the performance of the new pad; it has a dry feel, does not discolour or cause sweat staining, and is comfortable during wear. Finally, the third section discusses possible future designs for disposable underarm pads. The underarm pad consists of nonwoven fabrics skin contact layer, natural fibre core finished with herbal extract and a biofilm made with Manihot esculenta starch. To evaluate the performance of the pad, both objective and subjective tests were performed. Thickness and absorption tests were performed for objective evaluation of product. Male and female test volunteers were used for the subjective evaluations. The test volunteers tried the pads on and assessed how well they fit and comfort with the body, whether they deformed while being worn, and whether they felt dry afterward. A questionnaire was also employed to examine the individuals' perspectives on the pads. It was then established that the underarm pads function well in terms of strength and absorption in addition to having a nice fit and feeling dry after use.

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 Keywords

Hyperhydrosis, Kenaf, Azadiracta Indica, Nyctanthes Arbor-Tristis, Manihot esculenta, disposable underarm pad.

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Creative Commons Attribution 4.0 and The Open Definition