B Manasa

About

B. Manasa is a researcher focused on the critical intersection of cybersecurity and the Internet of Things, with a primary emphasis on anomaly detection. Her most-cited work, "Comparative Study on Techniques Used for Anomaly Detection in IoT Data" (2023), provides a systematic analysis of various machine learning and statistical methods for identifying irregular patterns in IoT data streams. This study serves as a foundational resource for researchers and practitioners seeking to secure increasingly vulnerable IoT ecosystems, highlighting the trade-offs between detection accuracy, computational efficiency, and scalability. With 2 citations, this paper has already begun to inform subsequent work in the field. Manasa’s contribution lies in synthesizing disparate techniques—from clustering to deep learning—into a coherent framework that aids in selecting appropriate detection strategies. Her work is particularly valuable for students and engineers developing robust, real-time security solutions for smart environments. By addressing the growing challenge of data integrity in connected devices, Manasa is helping to shape more resilient IoT architectures.

Research Focus

Key Achievements

Top Papers

1. 1
   Comparative Study on Techniques Used for Anomaly Detection in IoT Data

   2 citations · 2023

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