Daily Archives: October 9, 2025

Authors: Abhishek, Nisha, Suman Chandila

Abstract: Java remains one of the most widely used programming languages in modern software development due to its platform independence, robust frameworks, and extensive ecosystem. However, the prevalence of Java in both web and enterprise applications also makes it a high-value target for cyberattacks. This paper provides an in-depth analysis of the most critical security vulnerabilities inherent in Java applications, with a focus on common attack vectors such as injection attacks, insecure deserialization, and cross-site scripting (XSS). It also delves into the growing threat of vulnerabilities in third-party libraries, remote code execution (RCE), and insufficient authentication mechanisms. Through a detailed examination of real-world incidents, including notable CVEs such as the Log4j vulnerability (CVE-2021-44228) and the Apache Struts exploit (CVE-2017-5638), the study highlights patterns and trends in the exploitation of Java-based systems. This research identifies the root causes of these vulnerabilities, emphasizing the importance of secure coding practices, proactive patch management, and the implementation of robust security mechanisms like secure authentication and encryption. Furthermore, the paper explores effective mitigation strategies for developers, including the use of security testing tools, static and dynamic application security testing (SAST/DAST), and secure software development life cycle (SDLC) integration. Recommendations are provided for improving security posture at both the code and architectural levels, offering best practices for reducing exposure to attacks. By addressing emerging threats, such as the rise of cloud-based Java applications and the need for post-quantum cryptography, this paper provides valuable insights for securing Java applications against present and future security challenges

DOI: http://doi.org/10.5281/zenodo.17310113

Published by: vikaspatanker

Authors: Ritu Mewade, S.S. Kushwaha

Abstract: Soil stabilization has become an increasingly vital aspect in modern Civil Engineering. Stabilizing soils using Cement, Fly-Ash, and GGBS offers an affordable and effective solution, applicable to a variety of soil types. Black Cotton soils, known for significant volume fluctuations with changes in moisture content, expand when moisture is added and contract when dried. By incorporating these materials, the stability and engineering properties of such soils can be enhanced. This project aims to evaluate the benefits of stabilizing Black Cotton soil with Cement, Fly-Ash, and GGBS. The use of industrial by-products like Fly-Ash and GGBS not only strengthens the soil but also reduces costs. The effectiveness of these stabilizers will be assessed through Standard and Modified Proctor tests. A comparative analysis of the test results will determine the optimal quantities of these materials needed to achieve maximum soil stability.

DOI: https://doi.org/10.5281/zenodo.17304393

Published by: vikaspatanker

Authors: Kunal Kartik

Abstract: Training convolutional neural networks (CNNs) from scratch using small data sets tend to suffer from over fitting with poor generalization therefore making the models to perform poorly in real world applications. This study examines the effectiveness of transfer learning through the exploitation of pre-trained CNN models and tuning the same to perform classification based on limited data. We measure the performance of popular architectures, including VGG16, ResNet50, and InceptionV3 on several small-scale datasets, including medical imaging and fine-grained object recognition. Systematic layer freezing, targeted fine-tuning, and data augmentation as a part of our methodology are aimed at increasing generalization. As the result shows, training transfer beats training from scratch significantly with fine-tuned models managing to gain up to 25% more accuracy and increased robustness over validation folds. Competitive results were obtained with feature extraction where little fine-tuning was done, which explains its usefulness with limited computational resources. The findings reiterate the value of transfer learning as an applicable solution to small datasets issues, and peers into the best strategies of fine-tuning CNN for data sparse environments.

Published by: vikaspatanker

Authors: Ritu Mewade, S.S. Kushwaha

Abstract: Soil stabilization has become an increasingly vital aspect in modern Civil Engineering. Stabilizing soils using Cement, Fly-Ash, and GGBS offers an affordable and effective solution, applicable to a variety of soil types. Black Cotton soils, known for significant volume fluctuations with changes in moisture content, expand when moisture is added and contract when dried. By incorporating these materials, the stability and engineering properties of such soils can be enhanced. This project aims to evaluate the benefits of stabilizing Black Cotton soil with Cement, Fly-Ash, and GGBS. The use of industrial by-products like Fly-Ash and GGBS not only strengthens the soil but also reduces costs. The effectiveness of these stabilizers will be assessed through Standard and Modified Proctor tests. A comparative analysis of the test results will determine the optimal quantities of these materials needed to achieve maximum soil stability

DOI: http://doi.org/10.5281/zenodo.17304393

Published by: vikaspatanker

Authors: Hannah Sholapur

Abstract: This paper examines the rising problem of online gambling among teenagers in India. With easy access to betting and gaming apps, many adolescents face growing financial, mental, and social risks. The study discusses how outdated laws and poor enforcement make it easier for young people to fall into gambling traps. It also looks at the emotional impact of addiction and suggests practical policy solutions that combine stronger regulation, awareness, and technology. Finally, the paper highlights the importance of financial literacy programs like Project Ardhika in helping students make responsible choices and avoid risky financial behavior.

DOI: http://doi.org/10.5281/zenodo.17302242

Published by: vikaspatanker

Authors: Patel Mohammed Safwan, Harsh Prajapati, Jaymin Makwana, Jay Padhiyar

Abstract: Tech Farm is an integrated agritech platform devel-oped to reshape the farming ecosystem by providing farmers with direct sales opportunities, timely digital advisories, and simpli- fied access to government initiatives. By reducing intermediary influence, fostering transparency, and equipping farmers with AI-enabled insights, Tech Farm enhances profitability, sustain- ability, and digital adoption. This paper discusses the platform’s underlying design principles, architecture, operational workflow, comparative evaluation with existing agritech models, challenges, and prospects. The anticipated socio-economic benefits highlight the transformative role of technology in strengthening agricul- tural communities. Additionally, this study explores how Tech Farm can become a replicable model globally, emphasizing the integration of IoT, blockchain, and AI in bridging gaps between traditional farming and modern agricultural practices

DOI: http://doi.org/10.5281/zenodo.17301693

Published by: vikaspatanker

Authors: Mr. S. Parthiban, Mr. B. Bharathi, Mr. S. Kishore, Mr. H. Mohamed Fazil

Abstract: The evolution towards smart living environments necessitates robust and user-centric control systems that transcend the limitations of traditional manual appliances. This paper presents the design and implementation of a centralized, dual-mode Internet of Things (IoT) system for intelligent home automation. The system provides seamless control over household devices through two distinct interfaces: a web-based application for remote monitoring and management, and a voice recognition module for hands-free operation. A key architectural feature is its dual-mode functionality, which ensures continuous operation by seamlessly switching between a cloud-based (online) mode for remote access and a local (offline) mode during internet outages. The hardware prototype is centered around an ESP32 microcontroller, which interfaces with sensors and relay modules, while a Firebase cloud backend synchronizes state with a React Native frontend. The successful implementation validates a reliable, convenient, and efficient solution that enhances user autonomy and bridges the gap between conventional home management and modern intelligent control systems. This work contributes a practical framework for developing resilient and accessible smart home technologies.

DOI: http://doi.org/10.5281/zenodo.17301332

Published by: vikaspatanker