Volume 11 | Issue 3 |

 Abstract

The shampoo sector is probably the largest unit sale among the hair care products since shampoos are one of the cosmetic products used in daily life. Synthetic preservatives and detergents have sometimes been the cause of adverse effects among consumer. A more radical approach in reducing the synthetic ingredients is by incorporating natural extracts whose functionality is comparable with their synthetic ingredients. A shampoo is a cleaning aid for the hair and is counted among the foremost beauty products. Today's shampoo formulations are beyond the stage of pure cleaning of the hair. Additional benefits are expected, e.g. conditioning, smoothing of the hair surface, good health of hair, e.g. hair free of dandruff, dirt, grease and lice and, above all, it is safety benefits are expected. As the scalp is one of the most absorbent part of the body, product applied to the scalp go directly to the blood, without being filtered in any way. Formulation of shampoo must be safe and efficient for long use. The major objective of the present study was to formulate an herbal shampoo powder by means of eliminating harmful synthetic ingredients and substitutes them with natural ingredients. Our formulated herbal shampoo powder consists of fenugreek, hibiscus, ashwagandha , shikakai, amla, neem, reetha,cinnamon, kalonji , and rose petals in appropriate ratio.

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Herbal Shampoo

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The importance of the DDoS issue and the rise in the frequency, sophistication, and power of assaults have prompted the development of several prevention techniques. Each suggested preventive measure differs from the others in certain specific benefits and drawbacks. In this study, we categorise the many defences against potential DDoS assaults that have been put forth in the literature and evaluate the advantages and disadvantages of each defence. It is preferred to consider that the number of maximum continuous DoS attacks in both the S-C and the C-A channels is bounded because of the cost effect of attacks. In this project on Distributed denial of service (DoS) attacks in cyber-systems, DoS attacks exist in between the sensor and controller communications and the controller-to-actuator communications. Then, a successful security control technique is developed to counter two-channel DoS attacks, fully utilising the hardware to guarantee that control inputs are periodically captured during each time slot. A security controller that includes both the present and future control inputs is designed at the same time. The addressed CPS can be stable under 2-channel DoS attacks while maintaining control effectiveness under an appropriate security control strategy and security controller. Last but not least, simulations and tests are provided to show the viability of the suggested active security control approach.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DoS attacks, Security transmission policy, Actively defend, Security control, Experiments, Cyber-physical systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper discusses the emergence and growing potentiality of the small tea cultivators in Assam towards employment generation. The tea industry in Assam has traditionally been dominated by large tea estates, but in recent years, small tea growers have emerged as a significant force in the sector. These small growers, often located in remote and underdeveloped regions, have been able to leverage modern technology and better cultivation practices to increase their yields and quality. As a result, they are contributing significantly to the state's tea production and employment generation. This study examines the factors driving the growth of small tea cultivators in Assam and the challenges they face. It also analyzes the potential of this sector to provide livelihoods for a large number of people in the region and contribute to the state's economic development.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Small tea growers, development, plantation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Despite the delayed adoption of IoT (Internet of Things) in the healthcare industry compared to other sectors, IoT in medicine is destined to keep the people safe and healthy, with the primary goal being to reduce the cost of health care in the next years. An intelligent medication box linked to sensors and a server for routine health monitoring is suggested as part of a smart Internet of Things-based healthcare system. With the aid of this internet-connected smart pill box, patients can stay on top of their medical regimens and easily communicate with their doctors even when they can't be in the same room at the same time. The suggested medication box has an alert that will remind the patient to take their medication at the prescribed time. Information about the doctor and patient, including medical history, medications, and upcoming appointments, is maintained on a laptop that also serves as a server. The doctor and the patient both have their own login credentials to use on the server. The server also stores the patient's prescription history and body temperature for the convenience of the attending physician. If the doctor decides to make a modification to the patient's prescription, they will be informed via the patient's mobile app. In addition, the doctor is in a position to act quickly in the event of a medical emergency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Health Care,Internet of Things (IoT), Body sensor network, LCD

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ethereum, smart contracts, DNS security, block chains.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

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Block chain in student management system, student registration system.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition