Exploring Advanced Techniques for Enhancing Data Privacy and Security in Digital Systems
Rimjhim Kumari, Srinivasan Sriramulu · 2024
As digital interactions proliferate, the imperative to fortify data privacy and security becomes paramount. This paper explores advanced techniques—encryption algorithms, biometric authentication, machine learning for anomaly detection, and blockchain technology—as integral components of a comprehensive strategy for safeguarding digital systems. The research reveals that a holistic approach, synthesizing these techniques, offers robust defense against evolving cyber threats. Findings underscore the significance of user-centric security measures, continuous adaptation to emerging threats, and the ethical considerations inherent in technological advancements. The contribution of this research lies in providing practical insights for practitioners and researchers, shaping a nuanced understanding of the dynamic landscape of data privacy and security. Through actionable recommendations, the paper empowers stakeholders to navigate the intricate challenges and opportunities presented by the digital age, ensuring the resilience and trustworthiness of digital systems. The proposed paper talked about how encryption algorithms, biometric authentication, machine learning for anomaly detection and blockchain work. The paper equips stakeholders with tangible recommendations to skillfully navigate the complex landscape of the digital era, promoting the durability and dependability of digital systems.