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Enhancing E-Commerce Data Privacy in India's Rapidly Evolving Cybersecurity Landscape Through AI-Driven Intrusion Detection Systems
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Author(s): B. Selvalakshmi (Tagore Engineering College, Chennai, India), G. Sudhakar (Sri Sai Ranganathan Engineering College, Coimbatore, India), Anand Anbalagan (Technical Vocational Training Institute, Addis Ababa, Ethiopia), K. Subashini (Tagore Engineering College, Chennai, India), P. Vijayalakshmi (Knowledge Institute of Technology, Salem, India)and F. Kavin (Muscat Engineering Consultancy Pvt. Ltd., India)
Copyright: 2025
Pages: 20
Source title:
Strategic Innovations of AI and ML for E-Commerce Data Security
Source Author(s)/Editor(s): Gaganpreet Kaur (Chitkara University, India), Jatin Arora (Chitkara University, India), Vishal Jain (Sharda University, Greater Noida, India)and Asadullah Shaikh (Najran University, Saudi Arabia)
DOI: 10.4018/979-8-3693-5718-7.ch011
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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.
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