Forest Fire Detection using CNN-RF and CNN-XGBOOST

Abstract

In the digital age, securing data has become
increasingly critical due to the exponential growth of
cyber threats and data breaches. This project explores a
hybrid approach to data security by integrating
Blockchain technology and Artificial Intelligence (AI).
Blockchain provides a decentralized, immutable ledger
that ensures transparency, integrity, and tamper-proof
storage of data. On the other hand, AI enhances
security by enabling intelligent threat detection,
anomaly analysis, and predictive analytics through
machine learning algorithms. By combining these two
powerful technologies, the proposed system leverages
Blockchain for secure data storage and traceability,
while AI automates the identification of potential
vulnerabilities and malicious activities in real-time.
This synergy enhances the overall cybersecurity posture
by ensuring not only the safety and privacy of data but
also the adaptability of the system to evolving threats.
The solution has applications across industries such as
healthcare, finance, and supply chain, promoting trust,
compliance, and resilience in digital ecosystems.