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Blockchain Technology

Blockchain is a method of recording information that makes it impossible or difficult for the system to be changed, hacked, or manipulated

Published by: Prapti Chaware, Adhyatmika Ghodvinde, Harshal Gawade

Author: Prapti Chaware

Paper ID: V9I6-1243

Paper Status: published

Published: January 6, 2024

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Research Paper

Phishing mail detection using bidirectional LSTM

Phishing attacks have become a major concern in today's digital world, where malicious actors try to dupe unsuspecting individuals into divulging sensitive information. The need for effective methods to detect phishing emails has become crucial. In this study, we propose a novel approach for phishing mail detection using Bidirectional Long Short-Term Memory (BiLSTM) networks. BiLSTM networks are a type of recurrent neural network (RNN) that can capture temporal dependencies in sequential data. Our approach leverages the power of BiLSTM networks to analyze the content and structure of emails for identifying phishing attempts. We preprocess the email data by converting them into sequential tokenized representations. These representations are then fed into the BiLSTM network to learn the patterns and features associated with phishing emails. We train our model using a large dataset of labeled phishing and non-phishing emails. Experimental results demonstrate that our proposed approach achieves high detection accuracy, outperforming traditional machine learning algorithms. The ability of BiLSTM networks to capture both past and future contextual information allows our model to effectively identify phishing emails based on their content and structural properties. With the increasing sophistication of phishing attacks, the development of robust and accurate detection systems is paramount. Our approach contributes to this goal by providing an efficient and reliable method for detecting phishing emails, thereby enhancing the security of individuals and businesses

Published by: Vusa Vamsi Krishna

Author: Vusa Vamsi Krishna

Paper ID: V9I6-1235

Paper Status: published

Published: January 3, 2024

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Research Paper

A comparison of Machine Learning techniques for predicting IMDb score of movies

In the world of film industry analytics, predicting the success of movies based on various input features has garnered considerable attention in recent times. This research is important because it can help people in the movie industry make better decisions. It allows them to allocate resources effectively, minimize risks, and enhance the overall success of movie projects. This research paper presents and compares different machine learning techniques to predict the IMDb score of movies by leveraging multiple input features such as release date, genre, budget, gross revenue, profit, number of votes, country of origin, director, actor, writer, production studio, and runtime. We also account for the inflation rate over the years while considering the monetary attributes. We explore two methods: one where we transform and reduce the data using techniques like one-hot encoding and PCA, and another where we use label encoding for categorical data. In the first method, we try three models: Support Vector Regressor (SVR), RandomForest Regressor, and Recurrent Neural Network (RNN). In the second method, we use RandomForest Regressor, Gradient Boosting Regressor, and LightGBM Regressor. We measure how well these models predict by looking at Mean Squared Error (MSE) and R-squared. This research helps provide people in the film industry with insights into what factors contribute to a movie's success.

Published by: Anubhav Mathur, Snigdha Patil

Author: Anubhav Mathur

Paper ID: V9I6-1241

Paper Status: published

Published: January 3, 2024

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Research Paper

Impact of cultural factors and gender roles on maternal parenting in India

Purpose: To analyse the role of cultural factors and gender roles on maternal parenting in India Study design: Self report questionnaire Methodology: Sixty women in the age range of 35-73 reported their response through a self-report questionnaire Results: Majority of the women who participated in the survey strongly or moderately agreed that Indian culture does play a significant role in mothers labour participation. Majority also agreed that they are unemployed in-order to take care of family- an important gender role in India. Conclusion: results of the current study reveal that Indian culture and gender roles have played a significant role in the level of maternal employment

Published by: Aarohi Shah

Author: Aarohi Shah

Paper ID: V9I6-1238

Paper Status: published

Published: January 1, 2024

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Case Study

The categorical product of two odd cycle is a 2-connected graph

Recent advancements in graph theory often incorporate the concept of graph products. The concept of the categorical product of graphs was introduced by the mathematician Frank Harary in his paper titled "Topological Concepts for Maximum Graphs" published in 1969. The categorical product of graphs can be used to model and analyze complex network topologies. By considering the product of individual components, such as nodes or edges, one can study the interconnections and properties of the overall network structure. In light of this, our study aims to explore the properties of the categorical product of two graphs and demonstrate that the categorical products of two-cycle graphs with odd lengths are 2-connected.

Published by: Haoyu Zhang

Author: Haoyu Zhang

Paper ID: V9I6-1237

Paper Status: published

Published: December 30, 2023

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Review Paper

Deforestation control and forest monitoring system using Lora technology

Deforestation poses a critical threat to the natural world, leading to loss of biological diversity, habitat destruction, and also adverse effects in the climate. To fight against this challenge, our project presents a deforestation control and system monitoring that utilizes LoRa (Long Range) technology and a range of sensors, including fire, smoke, DHT11(humidity and temperature), sound, and tilt sensors, integrated with Arduino. This innovative system offers an effective solution for early detection, monitoring, and control of forest fires, thereby coming up with the mitigation of environmental damage and conservation of forests. The project operates on principles of real-time acquisition, transmission, and remote monitoring.

Published by: B. H. S. S. Madhuri, B. Anusha Reddy, CH. Vedavyas, G. Mourya Teja, K. Bhavika Sai Rani, Dr. B. Siva Prasad

Author: B. H. S. S. Madhuri

Paper ID: V9I6-1233

Paper Status: published

Published: December 30, 2023

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