Bachelor Computer Application

This research explores the integration of geospatial, IoT, and cybersecurity technologies to secure urban small water bodies. The study presents a comprehensive framework enabling real-time monitoring, data protection, and sustainable management of critical water resources. Using IoT sensors and geospatial mapping, the research emphasizes proactive security through encryption, authentication, and intrusion detection systems, ensuring data integrity and informed decision-making.

This research aims to develop a real-time water quality mapping and reporting system utilizing IoT sensors and GIS technology, with an emphasis on enhanced cybersecurity. By deploying IoT sensors across various water sources, continuous data collection on water quality parameters such as pH, turbidity, temperature, and pollutant levels is achieved. This data is integrated into a Geographic Information System (GIS) platform, enabling dynamic mapping, visualization, and analysis of water quality in real-time. The study underscores the critical role of cybersecurity in protecting the integrity and confidentiality of the collected data. Advanced security measures, including encryption, secure authentication protocols, and intrusion detection systems, are implemented to safeguard the system against cyber threats. The research highlights the significance of secure, real-time data-driven approaches in the sustainable management and monitoring of water quality.

This research article investigates the utilization of geospatial data reporting to inform higher-level authorities about low water levels in interconnected reservoirs within a secure environment. The aim is to combine real-time reservoir monitoring, geospatial information, and robust security measures to enhance the reporting of reservoir level changes. By incorporating advanced technologies such as IoT devices and geographic information systems (GIS), the research aims to improve the accuracy and timeliness of reporting to higher-level authorities. Emphasis is placed on integrating geospatial data into the reporting process and ensuring the security of sensitive reservoir information through secure communication channels, encryption, and access control measures. The proposed approach has the potential to significantly enhance decision-making and emergency response in reservoir management, providing higher-level authorities with real-time, geospatially enriched data for informed decision-making.

Live streaming has emerged as a powerful medium for content creation, social interaction, and digital broadcasting. However, its rapid growth has introduced severe cybersecurity threats, particularly deepfake technology and identity theft. Deepfakes, powered by artificial intelligence, enable malicious actors to manipulate orimpersonate digital anchors in real time, leading to misinformation, reputational damage, and fraud. Identity theft in live streaming further exacerbates these risks, as unauthorized access to personal data and account takeovers compromises the security of content creators and audiences alike. This paper explores the multifaceted cybersecurity challenges faced by live streamers, emphasizing the growing sophistication of deepfake attacks and identity fraud. The study also examines vulnerabilities in live streaming platforms, including weak authentication protocols, lack of real-time deepfake detection, and the risks associated with biometric data breaches. Existing countermeasures, such as AI-driven deepfake detection, blockchain-based identity verification, and multi-factor authentication, are analyzed for their effectiveness in mitigating these risks. Additionally, this paper highlights regulatory efforts and ethical considerations surrounding the use of AI in content creation. The findings suggest that a multi-layered cybersecurity framework is essential for protecting digital anchors from

In the digital age, governance systems across the globe are increasingly adopting technological innovations to enhance the efficiency, transparency, and responsiveness of public administration. This paper explores the role of digital governance in shaping and implementing economic policies, particularly in emerging and developing economies. Through the integration of digital tools such as e-governance platforms, big data analytics, and automated monitoring systems, governments are now better positioned to design, enforce, and evaluate economic initiatives with improved accuracy and speed. The study critically examines how digital governance enhances fiscal management, promotes inclusive policy delivery, and reduces corruption by minimizing bureaucratic layers. Drawing on secondary data, case studies, and empirical findings, the paper highlights both the opportunities and challenges associated with the digital transformation of public sector governance. The research concludes that while digital governance significantly improves the implementation of economic policies, its success is heavily dependent on institutional readiness, technological infrastructure, and public trust.