RETRACTED: IIBES: a proposed framework to improve the identity-based encryption system for securing federated learning
International Journal of Pervasive Computing and Communications
ISSN: 1742-7371
Article publication date: 24 June 2022
Retraction statement
The publishers of the International Journal of Pervasive Computing and Communications wish to retract the article Patel, M., Patel, R., Patel, N., Shah, P. and Gulati, K. (2022), “IIBES: a proposed framework to improve the identity-based encryption system for securing federated learning”, International Journal of Pervasive Computing and Communications, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPCC-02-2022-0073.
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald's publishing ethics and the COPE guidelines on retractions. The authors of this paper would like to note that they do not agree with the content of this notice.
The publishers of the journal sincerely apologize to the readers.
Abstract
Purpose
In the field of cryptography, authentication, secrecy and identification can be accomplished by use of secret keys for any computer-based system. The need to acquire certificates endorsed through CA to substantiate users for the barter of encoded communications is one of the most significant constraints for the extensive recognition of PKC, as the technique takes too much time and susceptible to error. PKC’s certificate and key management operating costs are reduced with IBC. IBE is a crucial primeval in IBC. The thought behind presenting the IBE scheme was to diminish the complexity of certificate and key management, but it also gives rise to key escrow and key revocation problem, which provides access to unauthorised users for the encrypted information.
Design/methodology/approach
This paper aims to compare the result of IIBES with the existing system and to provide security analysis for the same and the proposed system can be used for the security in federated learning.
Findings
Furthermore, it can be implemented using other encryption/decryption algorithms like elliptic curve cryptography (ECC) to compare the execution efficiency. The proposed system can be used for the security in federated learning.
Originality/value
As a result, a novel enhanced IBE scheme: IIBES is suggested and implemented in JAVA programming language using RSA algorithm, which eradicates the key escrow problem through eliminating the need for a KGC and key revocation problem by sing sub-KGC (SKGC) and a shared secret with nonce. IIBES also provides authentication through IBS as well as it can be used for securing the data in federated learning.
Keywords
Citation
Patel, M., Patel, R., Patel, N., Shah, P. and Gulati, K. (2022), "RETRACTED: IIBES: a proposed framework to improve the identity-based encryption system for securing federated learning", International Journal of Pervasive Computing and Communications, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPCC-02-2022-0073
Publisher
:Emerald Publishing Limited
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