Enhancing E-Commerce Data Privacy in India's Rapidly Evolving Cybersecurity Landscape Through AI-Driven Intrusion Detection Systems

Abstract

The rise of sophisticated cyber threats poses significant challenges to the safety and integrity of goods and services in today's interconnected digital environment. This paper introduces “Secure by Intelligence,” a paradigm that utilizes Artificial Intelligence (AI) to enhance security and mitigate risks. India's rapidly growing e-commerce sector is transforming business practices, with AI playing a crucial role in its technological advancements. As e-commerce applications increase in complexity, maintaining usability becomes more challenging. This paper proposes integrating AI with Intrusion Detection Systems (IDS) to ensure data safety in e-commerce. By employing advanced machine learning techniques like deep learning and anomaly detection, AI-driven IDS can strengthen the resilience of e-commerce systems against cyber threats. The study examines the architecture and advantages of these systems while addressing implementation challenges. Ultimately, integrating AI-driven IDS will enhance consumer trust, protect sensitive data, and ensure the reliability of e-commerce ecosystems.