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Title: :  DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN
PaperId: :  26143
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26143
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
T.SUNDARARAJULU.SIDDHARTH INSTITUTE OF ENGINEERING & TECHNOLOGY
RAJULA BADRINADH REDDYSIDDHARTH INSTITUTE OF ENGINEERING & TECHNOLOGY
JAINI SAI PAVANSIDDHARTH INSTITUTE OF ENGINEERING & TECHNOLOGY
V.DIVYA SREESIDDHARTH INSTITUTE OF ENGINEERING & TECHNOLOGY
PEDDANABOYIENA TEJASWINISIDDHARTH INSTITUTE OF ENGINEERING & TECHNOLOGY
GUDIVETI VISWA TEJASIDDHARTH INSTITUTE OF ENGINEERING & TECHNOLOGY

Abstract

INFORMATION TECHNOLOGY
Federated learning (FL), decentralized systems, blockchain, malicious clients, model aggregation, serverless architecture, secure machine learning, collaborative learning, robustness, security and trustworthiness.
In the era of deep learning, federated learning (FL) presents a promising approach that allows multiinstitutional data owners, or clients, to collaboratively train machine learning models without compromising data privacy. However, most existing FL approaches rely on a centralized server for global model aggregation, leading to a single point of failure. This makes the system vulnerable to malicious attacks when dealing with dishonest clients. In this work, we address this problem by proposing a secure and reliable FL system based on blockchain and distributed ledger technology. Our system incorporates a peer-to-peer voting mechanism and a reward-and-slash mechanism, which are powered by on-chain smart contracts, to detect and deter malicious behaviours. Both theoretical and empirical analyses are presented to demonstrate the effectiveness of the proposed approach, showing that our framework is robust against malicious client-side behaviours.

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IJARIIE T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA. "DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 1412-1419
MLA T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA. "DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 1412-1419.
APA T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, & GUDIVETI VISWA TEJA. (2025). DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 1412-1419.
Chicago T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA. "DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 1412-1419.
Oxford T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA. 'DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 1412-1419. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DEFENDING_AGAINST_POISONING_ATTACKS_IN_FEDERATED_LEARNING_WITH_BLOCKCHAIN_ijariie26143.pdf (Accessed : ).
Harvard T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA. (2025) 'DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 1412-1419IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DEFENDING_AGAINST_POISONING_ATTACKS_IN_FEDERATED_LEARNING_WITH_BLOCKCHAIN_ijariie26143.pdf (Accessed : )
IEEE T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA, "DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 1412-1419, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/DEFENDING_AGAINST_POISONING_ATTACKS_IN_FEDERATED_LEARNING_WITH_BLOCKCHAIN_ijariie26143.pdf [Accessed : ].
Turabian T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA. "DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver T.SUNDARARAJULU., RAJULA BADRINADH REDDY, JAINI SAI PAVAN, V.DIVYA SREE, PEDDANABOYIENA TEJASWINI, and GUDIVETI VISWA TEJA. DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAIN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 1412-1419. Available from: https://ijariie.com/AdminUploadPdf/DEFENDING_AGAINST_POISONING_ATTACKS_IN_FEDERATED_LEARNING_WITH_BLOCKCHAIN_ijariie26143.pdf
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