Mr. Dharnisha Narasappa

Cybersecurity- AI-Driven Security Measures for IoT Networks Utilizing Machine Learning for Anomaly Detection

Abstract:

The Internet of Things (IoT) has transformed industries by enabling large-scale automation and efficiency, yet the exponential growth of connected devices has introduced significant security vulnerabilities. Traditional security mechanisms often fall short in addressing the complexity, heterogeneity, and scale of IoT environments, making real-time monitoring and anomaly detection critical. This study explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) to strengthen IoT network security, with a focus on anomaly detection techniques that identify potential breaches as they occur. We review supervised, unsupervised, and semi-supervised learning methods and propose a hybrid AI–ML model that enhances detection accuracy, reduces false positives, and maintains cost efficiency. Experimental results demonstrate the effectiveness of the hybrid approach in identifying both known and unknown attacks, outperforming conventional methods. The paper concludes by examining the implications of AI-driven anomaly detection for the scalability and resilience of IoT networks, highlighting its role in safeguarding against evolving cyber threats.
 

Profile:

Dharnisha Narasappa is a Senior Network Architect at Versa Networks (USA) with over 20+ years of experience in cybersecurity, secure network design, and Zero Trust Architectures. A Senior Member of IEEE and a Cisco Certified Internetwork Expert (CCIE #46979), he has successfully led multi-million-dollar network modernization and cybersecurity,secure SD-WAN initiatives for global enterprises, including Cisco systems,Mayo Clinic and ExxonMobil.

His expertise spans Zero Trust Security, Software-Defined Perimeter (SDP), Secure SD-WAN, SASE, and AI-driven anomaly detection for IoT/OT ecosystems.

Lead Author for the Cloud Security Alliance (CSA) working group and IEEE, collaborated with global experts from diverse fields to develop and review authoritative guidance on cybersecurity security, contributing to the development of international standards and best practices.and frequently serves as a keynote speaker, session chair, and judge at international conferences, hackathons, and innovation awards.

Dedicated to bridging industry and academia, Dharnisha also mentors emerging professionals and actively contributes to advancing global best practices in cybersecurity and digital transformation.