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  1. Green D-OXA: Energy-Efficient Fog Node Placement with Renewable Energy Integration for Sustainable IoT Networks

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  2. FEDMAD: A Privacy-Preserving Adaptive Federated Learning Framework with Robustness against Data Quality Variations

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  3. A Hybrid MAML-reptile Based Few-shot Learning Approach for Securing Fog-iot Networks against Maleficent Behaviors

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  4. Forensically Interpretable Graph Descriptors for Improved Illicit Bitcoin Transaction Detection

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  5. Hybrid 2D Logistic Chaotic Map and Vernam Cipher for Secure Image Encryption and Steganography

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  6. Trust Aware Multi Objective V2V Routing Using a Quantum Inspired Trust Aware Opportunistic Routing (Q-TAOR)

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  7. Q-Learning-Based Task Scheduling for Low-Latency Edge Offloading in MEC Systems

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  8. Blockchain-Fick Gradient Model for Secure MANET Routing and Threat Analytics

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  9. On timing side channels in “constant-time implementations”

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  10. Multi-microblaze based parallel implementation of elliptic curve digital signature algorithm for blockchain network

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  11. Computing multi-scalar multiplication on memory-constrained devices

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  12. BLCD: a balanced and low-power cell design family for secure applications

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  13. Ascending stepped cryptanalytic time-memory trade-off

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  14. SpoofLearner: Inducing Deceptive Results in Deep Learning SCA via Low-Order Leakage

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  15. Faster $$text {GF}(2)[x]$$ polynomial multiplication using SIMD instructions

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  16. A fresh look on asymmetric crypto: accelerating WolfSSL on end-nodes processors

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