Journal of Advances Research in IOT Security
This is blind peer-reviewed journal that provides a platform which aspires to cover all the aspects IOT Security. This journal provides a deep insight in advancement and research in the field of IOT Security. Focus and Scope IoT in Cloud to thing Continuum IoT software designs Best practices for IoT Applications of IoT IoT in Urban life IoT in Behavioral Science Societal aspects of IoT IoT Governance IoT Solutions for Pandemics, Disaster Management and Public Safety
ROLE OF SOCIAL MEDIA AND FREEDOM OF SPEECH
Social media has become one of the most important communication platforms in the modern digital world. It allows people to eхpress their opinions, share information, and participate in public discussions without geographical barriers. Freedom of speech is a fundamental democratic right that enables individuals to communicate their thoughts openly. Social media platforms such as Facebook, Instagram, X (Twitter), and YouTube have strengthened this freedom by providing users with instant global communication opportunities. However, the misuse of these platforms has also created several challenges including fake news, hate speech, cyberbullying, misinformation, and online harassment. This research paper studies the relationship between social media and freedom of speech and eхamines both the positive and negative effects of digital communication. The paper highlights how social media supports activism, awareness campaigns, and democratic participation while also discussing the need for ethical regulations and responsible online behavior. The study is based on secondary sources such as journals, books, websites, and research articles. The ﬁndings suggest that social media can be an effective tool for freedom of eхpression when proper legal frameworks, ethical practices, and responsible usage are maintained.
Cyber law is a significant area of law that addresses matters pertaining to digital communication, online transactions, the internet, and cybercrime. Cyber law is now essential for preserving security, privacy, and justice in the digital sphere due to the quick development of technology and internet usage in India. Important fundamental rights, like the freedom of speech and expression, the right to equality, and the right to life and personal liberty, are guaranteed by the Indian Constitution and apply online as well. The protection of constitutional rights in the digital sphere has grown in importance as online platforms and digital technology have become a part of everyday life. This study examines the connection between India's constitutional framework and cyber law. It describes how cyber laws shield people against online fraud, identity theft, cyberbullying, hacking, and data breaches. The significance of the Information Technology Act of 2000 in governing electronic transactions and online activities is also emphasised in the report. The study addresses privacy violations, fake news, cybersecurity issues, and misuse of social media platforms in addition to the benefits of digital technology. In order to safeguard constitutional rights in cyberspace, the study highlights the necessity of more robust cyber regulations, digital awareness, ethical internet usage, and enhanced cybersecurity systems. The study comes to the conclusion that in order to preserve democracy, justice, security, and individual freedom in the digital era, strong cyber laws and constitutional protections are crucial.
AI BASED CCTV ANALYSIS FOR STUDENT ENTRY/EXIT MONITORING
Artificial Intelligence (AI) has significantly reshaped the role of surveillance systems by enabling them to function beyond simple video recording. In educational institutions, where the safety and tracking of student movement are crucial, the traditional practices of manual attendance or RFID-based access control often fall short in accuracy, speed, and misuse prevention. AI-based CCTV analysis provides an opportunity to automate entry and exit monitoring without requiring physical interaction from students or continuous manual supervision. Deep learning-based models such as YOLO have made real-time person de-tection and tracking fast, scalable, and highly efficient, even in complex environments with high population movement. This survey paper reviews recent research developments, approaches, and implementation methods that apply AI-based CCTV analysis to student entry–exit scenarios. It highlights the technological backbone — including object detection algorithms, Python-based processing, and SQL database integration — while critically examining their performance, feasibility, and limitations in real-world institutional settings. In addition to studying the op-erational benefits, the survey identifies key challenges such as oc-clusion, lighting variations, privacy concerns, and computational resource demands. The overall objective of this paper is to offer an in-depth understanding of how AI-powered surveillance can improve campus security, automate attendance documentation, and reduce management workload, while outlining opportunities for future enhancement.
Longitudinal Usage Analytics for Government Business Intelligence: A 22-Year Empirical Study of User Adoption, Query Consumption Growth, and Value Realization Patterns
Government business intelligence (BI) platforms represent long-lived capital investments whose value accrues over decades rather than fiscal quarters, yet empirical evidence on their long-run adoption and consumption dynamics remains scarce. This study presents a 22-year (2003–2024) longitudinal analysis of a statewide government BI platform serving executive, fiscal, and operational users. We characterize three intertwined phenomena: user adoption, which follows a logistic diffusion trajectory; query consumption growth, which compounds at approximately 27% annually; and value realization, modeled as cumulative decision value net of total cost of ownership. Drawing on de-identified usage telemetry comprising millions of query events, we fit growth models, estimate saturation points, and quantify the lag between adoption and measurable value. Results indicate that value realization accelerates only after adoption crosses an inflection threshold, that query intensity per active user grows even as headcount saturates, and that the platform reached positive cumulative net value in year nine. The findings offer public-sector decision makers a defensible, evidence-based framework for forecasting demand, sizing infrastructure, and justifying continued investment in mission-critical analytics platforms.
Anemia continues to affect millions of people worldwide, often going unnoticed until symptoms interfere with daily life. Nutrife is created as a compassionate, AI-enabled nutrition platform that helps individuals understand and manage their anemia risk through simple, personalized, and accessible tools. The system integrates BMI assessment, tailored diet planning, food nutrient analysis, and an intuitive chatbot that offers friendly, easy-to-understand guidance. By combining nutrition science with intelligent technologies such as medical image interpretation and natural language processing, Nutrife empowers users to take charge of their health without feeling overwhelmed by medical terminology or fragmented information. The platform serves as a supportive digital companion, promoting early awareness, healthier eating practices, and long-term wellbeing. Through its human-centered design and unified feature set, Nutrife addresses the limitations of existing health apps and offers a holistic approach to preventing and managing nutritional anemia.
College life is full of questions from admissions to fees, from attendance to exam dates, and from classroom locations to details about events. Even though this information exists, students often end up confused, searching multiple webpages, or waiting in long queues just to get one small doubt cleared. This project was built around a simple thought: What if students had someone they could talk to instantly, any time of the day, without depending on office hours or staff availability?To address this, we developed a conversational AI chatbot specifically designed to handle college-related enquiries. Instead of browsing endless menus or scrolling through PDF documents, students can simply ask the chatbot what they need, just like they would message a friend. The system is built using Natural Language Processing (NLP), which helps it understand everyday language even misspelled or incomplete sentences.The chatbot provides information about attendance, fees, mentors, timetables, academic calendars, events, classroom directions, IA marks, and much more. It aims to make communication in colleges faster, simpler, and more friendly. From early testing, we noticed a big improvement in how quickly students received answers, and staff felt less burdened with repetitive questions. In short, the chatbot brings a small but meaningful change: it makes essential information easy, instant, and accessible for everyone.