This paper presents a blockchain-based digital land certificate system designed to prevent forgery, data manipulation, and document duplication in conventional centralized land certificate management systems. The system adopts a four-layer architecture built on a six-node Hyperledger Besu network using the Istanbul Byz...
Mustafa Azam Irvani, Amang Sudarsono, Ahmad Zainudin et al.· International Conference on...· 0 citations
PureChain is presented, a blockchain-integrated federated learning framework that combines federated averaging, Dirichlet partitioning, LSTM-based forecasting, and a permissioned blockchain for secure client isolation and model rollback within a unified smart grid architecture.
Adah Lubwama Nanteza, Love Allen Chijioke Ahakonye, Dong-Seong Kim et al.· Scientific Reports· 0 citations
In ubiquitous networks, sensing and compute resources are distributed across numerous heterogeneous nodes. Consequently, fixed Intrusion Detection Systems (IDS) deployments either lead to resource wastage or leave security gaps. LAVA-Control addresses this challenge by treating intelligence density, which is the number...
Kalibbala Jonathan Mukisa, Jae Min Lee, Dong-Seong Kim· International Conference on...· 0 citations
The advancement of military internet of things (IoT) surveillance demands real-time casualty detection across distributed camera networks under diverse environmental conditions. Traditional surveillance systems suffer from high latency, bandwidth inefficiency and unreliable cross-camera identity tracking, indicating th...
Sium Bin Noor, M. A. Dini, Jaemin Lee et al.· International Conference on...· 0 citations
Accurate forecasting of building energy consumption is a cornerstone of modern smart grid management and sustainable facility operations. However, standard deep learning approaches—such as Long Short-Term Memory (LSTM) networks and Transformers—often function as black boxes, failing to explicitly model the governing ph...
Ali Aouto, Dong-Seong Kim· International Conference on...· 0 citations
AI-driven Internet of Medical Things (IoMT) services increasingly rely on federated learning (FL) for privacy-preserving remote patient monitoring; however, existing frameworks often neglect the longitudinal battery sustainability required for persistent clinical care. This paper presents BattFL, an energy-sustainable...
C. A. Nnadiekwe, S. Ajakwe, J. Isong et al.· International Conference on...· 0 citations
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