AI-Driven Cybersecurity for Sustainable Healthcare Data: Protecting Patient Privacy and Environmental Impact

EasyChair Preprint 12215

Abstract

AI-driven cybersecurity plays a crucial role in safeguarding sustainable healthcare data, particularly in ensuring the protection of patient privacy while addressing environmental impacts. Leveraging artificial intelligence (AI) algorithms and advanced cybersecurity techniques, this paradigm offers a multifaceted approach to securing sensitive medical information. By employing AI-driven threat detection and response mechanisms, healthcare organizations can proactively identify and mitigate potential cyber threats, safeguarding patient data from unauthorized access or breaches. Moreover, the integration of AI in cybersecurity solutions not only enhances efficiency but also contributes to sustainability efforts by minimizing energy consumption and reducing carbon footprints associated with traditional cybersecurity approaches. Thus, abstract AI-driven cybersecurity emerges as a pivotal tool in ensuring the integrity, confidentiality, and sustainability of healthcare data systems, thereby fostering trust and confidence in the healthcare ecosystem.

Keyphrases: AI-driven cybersecurity, Patient privacy, Sustainable healthcare data

@booklet{EasyChair:12215,
  author    = {James Henry and Moiz Sabir},
  title     = {AI-Driven Cybersecurity for Sustainable Healthcare Data: Protecting Patient Privacy and Environmental Impact},
  howpublished = {EasyChair Preprint 12215},
  year      = {EasyChair, 2024}}