Skip to content

Author

R. Thamizhamuthu

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#federated learning Book Sep 2026

IoT-Enabled Threat Detection for Large-Scale Distributed Networks in Smart Policing

The purpose chapter objectives to design a scalable and intelligent threat detection system to smart policing networks that leverages the IoT technology at scale. It will deal with the problems of timely processing of data of various types of devices and security issues related to such devices. It is suggested to use a...

Megha Mudholkar, Pankaj Mudholkar, Prasuna Kotturu et al. · 0 citations
#federated learning Book Sep 2026

Digital Forensics in IoT-Enabled Heterogeneous and Intelligent Network Environments

The excessive proliferation of Internet of Things (IoT) ecosystems, which are characterized by the high number of devices, transient data generation, and constantly changing cyber threats have presented serious challenges to digital forensic investigations. To solve these problems, Adaptive Forensic Intelligence Model...

Meenakshi Gupta, R. Udaya Bharathi, Subarno Bhattacharyya et al. · 0 citations
#reinforcement learning Book Sep 2026

Emerging Cybersecurity Challenges in Machine Learning-Enabled Smart Heterogeneous Networks

The chapter tries to resolve this emerging problem of machine learning-based smart heterogeneous networks, and cybersecurity by creating a multi-layered security infrastructure which is scalable to detect and react to security attacks in real-time. It proposes a multi-modal deep learning (CNNLSTM), adaptive control by...

Harish Reddy Gantla, N. Thangadurai, Manikandan Hariharan et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.