IJETE VOLUME 1, ISSUE 1 DEC – 2025
BLOSTERING WEB SECURITY BY INTEGRATING FRAMEWORKS TO DETECT SQL INJECTION AND XSS VULNERABILITIES
AUTHORS : G.Sivakumar , R. Arthi , Sahasra S, Gowtham Siddarth N
ABSTRACT – With the increasing number of web applications, cyber threats such as SQL Injection (SQLi) and Cross-Site Scripting (XSS) have become more prevalent. This paper presents a framework for bolstering web security by integrating multiple detection mechanisms for SQLi and XSS vulnerabilities. The system combines automated scanning techniques with penetration testing tools such as SQLMap for SQL Injection and script-based analysis for XSS detection. The proposed framework enhances web security by assisting security professionals in identifying vulnerabilities and mitigating potential threats before exploitation occurs. The findings emphasize the importance of proactive security assessment in modern web applications. Additionally, this research explores novel techniques in heuristic analysis, machine learning-based anomaly detection, and behavior-based security to improve the accuracy and efficiency of threat detection.
ANDROID HACKING AND EXPLOITATION USING KALILINUX : A CYBER FORENSIC ANALYSIS OF VULNERABIILTIES AND MITIGATION
AUTHORS : G.Vishvanath Sundharam, Sudhakaran S , Vijayasarathi S, James Godwin G
ABSTRACT – IT security is a paramount concern in today’s internet landscape due to the prevalence of communication activities. Testing for personal data theft using social engineering methods aims to identify potential security vulnerabilities in the system and network of a user’s Android device. These vulnerabilities could be exploited by hackers if users are unaware of social engineering tactics, allowing for data theft through the use of a Remote Administration Tool (RAT) inadvertently downloaded onto the Android device. The deployment of a RAT via social engineering represents a viable and effective method for compromising the privacy of Android users. This study provides an overview of fundamental concepts related to data theft, ranging from recent call and personal data breaches to the remote manipulation of Android users’ cameras and microphones. users no longer need to install additional tools manually. Apart from that, Kali Linux also has an intuitive user interface so that users can efficiently operate the system and the tools provided. Another advantage is modifying and customizing the tools according to user needs through manual configuration or built-in features such as meta packages. Thus, Kali Linux is one of the right choices for android hacking practitioners in conducting security testing on the Android system.
ART INTEGRATION- A CROSS-CULTURAL APPROACH TO TEACHING AND LEARNING IN THETWENTY FIRST CENTURY
AUTHORS : Dr. Biju.G
ABSTRACT – Integration of art is an innovative teaching learning approach through which the concepts can be taught and evaluated equitably in and through art. Due to the variety of implementation methods, arts integration is complicated. There is no one right way to include arts into the classroom, and the planning and implementation of art integration can be creative work in and of itself. The degree to which the arts can be incorporated into the curriculum varies; it may be done on a daily to monthly basis, with the discussion of a historical piece of art, or it may be done more complexly, with the inclusion of a hands-on art project to support the students’ active learning. Additionally, because instructors traditionally have more opportunity in how much time they spend with their kids, arts integration is more likely to start in the elementary grades. To meet the demands of pupils in the 21st century, art integration is marketed as a potent educational strategy. Teaching through arts can assist students to conceive, create, and express their understanding about themselves, their communities, and about the wider world. Teachers must balance the arts and non-arts learning and curriculum areas in a co-equal, cognitive manner of integration, and they must focus on investigating common concepts in the classroom. The present chapter is dealing with art integration and its elements and importance, art integrated pedagogy and its integration in the classroom, implementation of art integration at different levels of education, strategies for imparting art education and tools and practices for the assessment of learning through the integration of art into the curriculum.
REAL TIME DRIVE FATIGUE AND DETECTION RECOGNITION USING COMPUTER VISION
AUTHORS : Vishvanath SundharamG, Muthusamy P, Sam Sundar N, Hari Haran N, Selvanesan M
ABSTRACT – Driver drowsiness and distraction are among the leading causes of road accidents worldwide, necessitating the development of intelligent, real-time monitoring systems to enhance driving safety. This paper presents a non-intrusive Driver Monitoring System (DMS) based on computer vision and deep learning techniques for the detection of driver fatigue and inattentive behavior. The proposed approach leverages a YOLO-powered object recognition framework to identify critical facial regions such as the eyes, mouth, and head orientation from live in-vehicle camera feeds. Key behavioral metrics, including the Percentage of Eye Closure (PERCLOS) and Mouth Aspect Ratio (MAR), are computed to assess alertness levels. The system is designed to operate under varying lighting conditions and diverse driver profiles, providing timely audio or visual alerts upon detecting drowsiness or distraction.
SMART HIGHWAY SAFETY SYSTEM USING DEEP LEARNING FOR ANIMAL DETECTION
AUTHORS : Arthi R, MohanakumaresanB , BhoobashR V, VigneshwaranM, Vignesh S
ABSTRACT – Road accidents caused by unexpected animal crossings have become a significant concern, particularly during nighttime when visibility is severely limited. These incidents not only lead to property damage but also pose serious risks to human life and wildlife. The proposed system addresses this challenge by introducing an intelligent animal detection and alert framework designed to enhance road safety through continuous real-time monitoring. High-resolution night-vision cameras capture live footage of roadways, which is then processed using advanced deep learning techniques, including Convolutional Neural Networks (CNN) and YOLO-based detection models. These algorithms enable accurate identification of animals even under low-light, foggy, or adverse weather conditions. By automatically distinguishing animals from other objects such as vehicles or pedestrians, the system reduces the reliance on human intervention and ensures precise detection in dynamic environments