Published Paper Details:

Healthcare databases are increasingly becoming prime targets for cyberattacks and ransomware, leading to severe threats to patient privacy and hospital functionality. Traditional Intrusion Detection Systems (IDS) often fall short in detecting sophisticated attacks due to high false-positive rates, limited adaptability, and inability to detect novel threats. This research paper explores the growing necessity of integrating Artificial Intelligence (AI) into IDS to enhance cybersecurity in healthcare environments. By leveraging adaptive learning and intelligent decision-making, AI-powered IDS can efficiently identify anomalies, predict potential breaches, and minimize false alarms. This study highlights the limitations of traditional IDS, the potential of AI-driven solutions, and their role in safeguarding patient data. The ultimate goal is to emphasize that AI-powered IDS is not just an optional upgrade but an essential security measure in modern healthcare systems.