Quantum-Assisted Activation for Supervised Learning in Healthcare-based Intrusion Detection Systems
Introduction Intrusion Detection Systems (IDS) are vital in protecting sensitive information from cyber threats, especially in the healthcare industry. With patient data such as medical histories, prescriptions, electronic health records, and billing information at risk, robust security measures are essential. Traditional IDS have relied heavily on classical machine learning techniques, which often involve complex architectures and can be prone to overfitting. However, a new study proposes a revolutionary approach that leverages quantum mechanics to enhance the performance and efficiency of IDS. Authors: Nikhil Laxminarayana, Nimish Mishra, Prayag Tiwari, Sahil Garg, Bikash K. Behera, Ahmed Farouk Abstract: The paper, titled Quantum-Assisted Activation for Supervised Learning in Healthcare-based Intrusion Detection Systems , explores the integration of quantum mechanics with neural networks to develop a more efficient IDS. The proposed hybrid classical-quantum neural archite...