TY - GEN
T1 - Enhancing Fault Tolerance in Self-Healing P2P Networks for Consumer Electronics
AU - Kumar, Sudhakar
AU - Singh, Sunil K.
AU - Vashisht, Harshit
AU - Sharma, Vandana
AU - Arya, Varsha
AU - Chui, Kwok Tai
AU - Gupta, Brij B.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Modern consumer electronics depend on distributed systems, yet Peer-to-Peer (P2P) networks remain vulnerable to Byzantine faults. This paper presents an Adaptive Fault Tolerance (AFT) approach integrating probabilistic modeling and a Deep Neural Network (DNN) for real-time fault detection and recovery. The DNN, central to AFT, achieves 99.28% training and 99.07% validation accuracy, outperforming XGBoost (98.03%) and SVM (97.20%). Results, including ablation and real-time benchmarks, confirm AFT's effectiveness for self-healing P2P networks.
AB - Modern consumer electronics depend on distributed systems, yet Peer-to-Peer (P2P) networks remain vulnerable to Byzantine faults. This paper presents an Adaptive Fault Tolerance (AFT) approach integrating probabilistic modeling and a Deep Neural Network (DNN) for real-time fault detection and recovery. The DNN, central to AFT, achieves 99.28% training and 99.07% validation accuracy, outperforming XGBoost (98.03%) and SVM (97.20%). Results, including ablation and real-time benchmarks, confirm AFT's effectiveness for self-healing P2P networks.
UR - https://www.scopus.com/pages/publications/105022419452
U2 - 10.1109/ICCE-Taiwan66881.2025.11208130
DO - 10.1109/ICCE-Taiwan66881.2025.11208130
M3 - Conference contribution
AN - SCOPUS:105022419452
T3 - ICCE-Taiwan 2025 - 12th IEEE International Conference on Consumer Electronics - Taiwan: Generative AI in Innovative Consumer Technology, Proceedings
SP - 179
EP - 180
BT - ICCE-Taiwan 2025 - 12th IEEE International Conference on Consumer Electronics - Taiwan
T2 - 12th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2025
Y2 - 16 July 2025 through 18 July 2025
ER -