As digital healthcare systems have proliferated, there is a growing need to share cardiac healthcare data securely, efficiently, and reliably, while maintaining patient privacy and data integrity in a distributed healthcare setting. This study aimed to propose BlockTwinCardio, a Blockchain-Enabled Digital Twin Framewor...
Ramanjaneyulu Seggem, S. Kuna, K. P. Raju et al.· International Conference Com...· 0 citations
The Internet of Medical Things (IoMT) has been quickly adopted in the intelligent healthcare industry, introducing more and more medical data to be analysed at the network edge, which requires medical information analytics to be secure, privacy-preserving, and low-latency. When deployed in the heterogeneous edge enviro...
H. R. Gantla, Tejaswini Mallavarapu, Harika B et al.· 2026 International Conferenc...· 0 citations
Internet of Things (IoT) applications and the increasing demand for cloud-based services have created major challenges in task scheduling for energy efficiency and carbon awareness in multi-cloud environments. This study proposes an Energy and Carbon Emission Aware Task Scheduling framework for IoT applications based o...
Suryateja Kothuru, G. Sujatha, C. Veena et al.· 2026 International Conferenc...· 0 citations
The proliferation of cloud computing, Internet of Things (IoT), edge computing, and distributed enterprise networks has made the security landscape much more complex than ever before and has created a need for traditional rule-based security measures to be incapable of detecting advanced and ever-changing cyber threats...
Senthilselvan N, P. Anupriya, S. Mathumohan et al.· 2026 International Conferenc...· 0 citations
The widespread use of Large Language Models (LLMs) in AI-driven Internet of Medical Things (IoMT) ecosystems has introduced new challenges in areas such as data privacy, communication burden, computational efficiency and collaborative learning in a secure manner. To overcome these challenges, we introduce a novel Trust...
Harika B, Vishwesh Nagamalla, Kodipaka Rajeshwar Rao et al.· 2026 International Conferenc...· 0 citations
It is demonstrated that the proposed method is more effective, in terms of the detection, stability, and convergence behavior, than the existing centralized and federated IDS models, and can effectively deal with non-IID data distribution and the extensibility of the approach to different types of distributed network e...
Jothi Prabha Appadurai, Revoori Swetha, V. Srinivas et al.· Scientific Reports· 1 citation
This paper proposes an Intelligent Link Failure Prediction and QoS-Aware Routing framework for Mobile Ad Hoc Networks (MANETs) using the Harris Hawk Optimization (HHO) algorithm to achieve reliable and efficient data transmission under highly dynamic network conditions. The proposed model integrates proactive link fail...
K. Helini, Malleswari Lakkapogu, Suryateja Kothuru et al.· 2026 7th International Confe...· 0 citations
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