KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Computer science & The Internet. The organization has 427 authors who have published 381 publications receiving 2193 citations.

Blockchain-Based Agriculture Assistance

Abstract: The working system of agricultural management is very important in today’s world. However, growers, farmers, and sellers are physically dispersed to choose their pesticides and to manage both data and information. As a result, the production of crops and trust between the consumer and producer decreases regularly. In this paper, we propose an overall structure of agricultural maintenance system to work efficiently and properly based on blockchain technology in order to solve the problems facing by the farmers to choose the best pesticides on their own. The information recorded in these management operations includes farmer’s problems and other suggestions. Using blockchain techniques and methods to the field of agricultural not only improves schema, domain, and application of blockchain but also supports the farmers to choose the suitable pesticides and helps in increasing the trusted network among different stakeholders around agricultural environment.

Ridge regression algorithm based non-invasive anaemia screening using conjunctiva images

Abstract: Anaemia is one of the most prevalent nutritional deficiency disorders in the world that affects 1.62 billion people of all age groups. Its effects are more significant in the preschool-age children and pregnant women. The objective of this work is to develop a noninvasive method for identifying the anaemic status of a person by estimating their haemoglobin (Hb) level. Data collected from 135 participants is used for developing this model in which 80% of them (108 participants) were classified as a training group and the rest (27 participants) were grouped into a test group and their data is used for testing the model that’s based on the Ridge Regression algorithm. Haemoglobin level of a person is predicted from their digital image of the lower palpebral conjunctiva and basic details like age, sex, height, weight and BMI. These predicted values are closer to the values measured by the standard invasive methods and the Pearson correlation coefficients between the measured haemoglobin value and the predicted haemoglobin value are 0.722 and 0.705 for training and testing respectively. This model is trained to perform well with any smartphone in almost any non-ideal lighting condition without the usage of any external hardware. A web application and mobile application both called 'Chromanalysis' were developed and made available to anyone for screening their anaemic condition with their conjunctiva image and other basic details. This application will help users to assess their haemoglobin levels frequently without undergoing invasive procedures.

Phishing Detection in Websites using Parse Tree Validation

Abstract: Phishing is a technique of tricking people into giving sensitive information like usernames and passwords, credit card details, sensitive bank information, etc., by way of email spoofing, instant messaging, or using fake web sites whose look and feel gives the appearance of a legitimate website. In this work, a technique named parse tree validation is proposed to determine whether a webpage is legitimate or phishing. It is a novel approach to detect the phishing web sites by intercepting all the hyperlinks of a current page through Google API, and constructing a parse tree with the intercepted hyperlinks. This technique is implemented and tested with 1000 phishing pages and 1000 legitimate pages. The false negative rate achieved was 7.3% and the false positive rate achieved was 5.2%.