Jul 2026· 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT)· pp. 677-682· 0 citations· 22 references
Abstract
The integration of IoT into smart cities exposes serious cyber security risks, which old centralized designs would fail to combat. In this paper, the model suggests a unified system that would use AI and block chain technology to protect smart city IoT systems. A lightweight hybrid CNN-LSTM model is used to detect anomalies in real-time at the edge nodes and federated learning with differential privacy can be used to train collaboratively without exposing raw data. Permissioned block chain layer provides tamper-proof records and decentralized management of trust. A query fragment caching algorithm is a resource-optimal query strategy to block chain queries. CIC-IDS2017 and BoT-IoT datasets analysis show 98.6% detection, 97.5% F1-score, 134.6 ms latency, and 2,615 transactions-per-second, and 41% less energy usage than un cached block chain access. The framework is more effective than the current methods in all measures.
The proposed BlockSafeNet framework achieved significant improvements in secure IoT communication, privacy preservation, and AI-driven cyber threat detection within smart city infrastructures, providing a positive impact on the SC ecosystem.
IoT networks in smart city infrastructure include smart devices that use open channel internet to gather and process data. Centralism, safety, confidentiality, transparency, scalability, verification, and managing the quick adaption of smart cities are some of the issues that have arisen with the current data transport...
G. S., Vijayaraj N· International Conference on...· 0 citations
BELS-IoT is proposed, a novel decentralized protection architecture that integrates a cryptocurrency-based blockchain layer with a multi-layer ensemble learning engine that rewards honest behavior and penalizes malicious activities while maintaining privacy through federated learning with blockchain-verified reputation...
Anwar Kalghoum, L. Saidane· SN Computer Science· 0 citations
The analysis shows while blockchain, ML and DL technologies play a crucial role in enhancing IoT security, they each have limitations including scalability, computational overhead, data dependency and lack of flexibility against new cyber threats.
Shamsudeen Mohammed S, Nwobodo-Nzeribe Nnenna Harmony, Aghaizu Herman Chijioke· International journal of re...· 0 citations
This study proposes a hybrid LSTM-GNN-driven blockchain framework for secure IoT device authentication and predictive data intelligence. The framework integrates a Long Short-Term Memory (LSTM) network for temporal anomaly detection, a Graph Neural Network (GNN) for structural anomaly detection, and a blockchain-based...
Yogeswaran Raj, Manikandan· International Conference Com...· 0 citations
The study results confirm the energy efficiency, scalability and security of BTM-IoT as a solution for multi-access IoT offloading in smart city infrastructures.
Bader Alhasson· Electronics· 0 citations
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