Building Trust in Smart TVs: AI-Enhanced Cybersecurity for User Privacy and Ethical Monetization

Authors

  • Nakul Singh Independent Researcher https://orcid.org/0009-0004-4662-9768
  • Shreyas Kumar Professor of Practice, Department of Computer Science and Engineering Texas A&M University, USA
  • Tripti Singh Independent Researcher
  • Pratyush Kumar Independent Researcher

DOI:

https://doi.org/10.34190/eccws.24.1.3581

Keywords:

AI-powered cybersecurity, Smart TVs, IoT security, Anomaly detection, User Privacy

Abstract

As Smart TVs evolve into central hubs for IoT ecosystems, ensuring user trust through robust cybersecurity and ethical monetization practices has become paramount. This paper explores the integration of AI-driven cybersecurity features into Smart TVs, enabling them to safeguard user privacy and secure connected devices such as thermostats, smart speakers and home automation systems. By leveraging advanced AI techniques, including anomaly detection, behavioral analytics and federated learning, Smart TVs can monitor network traffic, detect vulnerabilities and mitigate potential cyber threats in real-time. For example, these systems can proactively identify and block IoT-based botnet attacks like Mirai, preventing unauthorized access to home networks. Additionally, AI-driven device typing enables Smart TVs to accurately classify and optimize the performance of connected devices, enhancing interoperability and user experience. The transformation of Smart TVs into trusted IoT hubs also presents significant monetization opportunities for manufacturers. Ethical monetization strategies, such as offering premium AI-powered security subscriptions, personalized automation services and bundled IoT device packages can generate revenue while prioritizing user trust. Privacy-preserving AI techniques such as federated learning and edge computing ensure that insights are monetized without collecting raw user data. Cross-selling and upselling opportunities arise as manufacturers integrate Smart TVs with complementary smart home products, fostering a seamless, secure ecosystem. Additionally, partnerships with cybersecurity firms and IoT developers further expand revenue streams, ensuring sustainable growth. Unlike traditional IoT security solutions, AI-powered Smart TVs provide native, real-time protection without requiring additional hardware, positioning them as the next frontier in home cybersecurity. As the industry advances, embedding privacy by design principles and offering users greater control over their data will be crucial in maintaining trust. This paper highlights how AI-enhanced cybersecurity and responsible monetization can redefine Smart TVs as both intelligent home automation hubs and ethical revenue generators, ensuring security, privacy, and user satisfaction while driving industry growth.

Author Biographies

Nakul Singh, Independent Researcher

Nakul Singh, VP of Product at Righ Inc. Palo Alto, USA is a technology leader with 24+ years in software and product management. An IIT Roorkee alumnus and PMP, he’s led global programs in video, wireless, IoT, AI, and cybersecurity. He has published research and chaired sessions at international conferences.

Shreyas Kumar, Professor of Practice, Department of Computer Science and Engineering Texas A&M University, USA

Shreyas Kumar is a Professor of Practice in Computer Science & Engineering at Texas A&M University, specializing in Cybersecurity, AI, and Risk Management. With 22 years of industry experience, he has held security engineering and leadership roles at Uber, Adobe, and Oracle. His research focuses on cyber warfare, AI-driven security, and Cyber Warfare.

Tripti Singh, Independent Researcher

Tripti Singh is a seasoned technologist with 18+ years of experience in distributed systems, big data, and applied machine learning. She held senior roles at Yahoo, Zendesk, and Meta, leading efforts in search, computer vision, ads delivery, and real-time data, solving complex problems with meaningful business impact.

Pratyush Kumar, Independent Researcher

Pratyush Kumar is a tech entrepreneur, investor, and advisor with 23+ years of experience. An IIT Roorkee alumnus, he scaled his technology services startup to 700 people before its acquisition. He now backs and mentors startups in Software Development, Cybersecurity and AI, combining deep expertise with hands-on leadership.

Downloads

Published

2025-06-25