Cohen, Alejandro, D'Oliveira, Rafael G. L., Duffy, Ken R. and Medard, Muriel (2022) Partial Encryption after Encoding for Security and Reliability in Data Systems. 2022 IEEE International Symposium on Information Theory (ISIT). pp. 1779-1784. ISSN 2157-8117
Preview
KD_partial.pdf
Download (3MB) | Preview
Abstract
We consider the problem of secure and reliable communication over a noisy multipath network. Previous work considering a noiseless version of our problem proposed a hybrid universal network coding cryptosystem (HUNCC). By combining an information-theoretically secure encoder together with partial encryption, HUNCC is able to obtain security guarantees, even in the presence of an all-observing eavesdropper. In this paper, we propose a version of HUNCC for noisy channels (N-HUNCC). This modification requires four main novelties. First, we present a network coding construction which is jointly, individually secure and error-correcting. Second, we introduce a new security definition which is a computational analogue of individual security, which we call individual indistinguishability under chosen ciphertext attack (individual IND-CCA1), and show that N-HUNCC satisfies it. Third, we present a noise based decoder for N-HUNCC, which permits the decoding of the encoded-then-encrypted data. Finally, we discuss how to select parameters for N-HUNCC and its error-correcting capabilities.
Item Type: | Article |
---|---|
Keywords: | Communication systems; Network coding; Encoding; Data systems; Encryption; Decoding; Error correction; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 18481 |
Identification Number: | 10.1109/ISIT50566.2022.9834772 |
Depositing User: | Dr Ken Duffy |
Date Deposited: | 07 May 2024 11:55 |
Journal or Publication Title: | 2022 IEEE International Symposium on Information Theory (ISIT) |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
URI: | https://mural.maynoothuniversity.ie/id/eprint/18481 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year