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"PenTiDef offers a robust, blockchain-based defense framework for decentralized federated intrusion detection systems to counter poisoning attacks."

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References (38)

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Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
2024Yueqi Xie, Minghong Fang et al.
[2]
AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation
2023Bingjie Yan, Xinlong Jiang et al.
[3]
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2023Fengxia Liu, Zhiming Zheng et al.
[4]
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection
2023Tran Duc Luong, Vuong Minh Tien et al.
[5]
Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems
2023Aditya Pribadi Kalapaaking, Ibrahim Khalil et al.
[6]
Byzantine-Robust Aggregation in Federated Learning Empowered Industrial IoT
2023Shenghui Li, Edith C. H. Ngai et al.
[7]
Distributed Anomaly Detection in Smart Grids: A Federated Learning-Based Approach
2023J. Jithish, Bithin Alangot et al.
[8]
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2022Zhaosen Shi, Zeyu Yang et al.
[9]
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[10]
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2022Fengqi Qian, B. Han et al.
[11]
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2022Cenanning Li, Pin-Han Huang et al.
[12]
Blockchain-enabled Federated Learning: A Survey
2022Youyang Qu, Md. Palash Uddin et al.
[13]
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2022M. Ferrag, Othmane Friha et al.
[14]
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
2022Nuria Rodr'iguez-Barroso, Daniel Jim'enez L'opez et al.
[15]
LoMar: A Local Defense Against Poisoning Attack on Federated Learning
2022Xingyu Li, Zhe Qu et al.
[16]
ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning
2022Zhuo Ma, Jianfeng Ma et al.
[17]
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data
2021Ha Min Son, M. Kim et al.
[18]
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems
2021Kevser Sahinbas, Ferhat Ozgur Catak
[19]
A Blockchain-Based Deep Learning Approach for Cyber Security in Next Generation Industrial Cyber-Physical Systems
2021S. Rathore, J. Park
[20]
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
2021Shaashwat Agrawal, Sagnik Sarkar et al.

Showing 20 of 38 references