Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion
Protecting information privacy is likely to promote trust in the digital world and increase its use. This trust may go a long way toward motivating a wider use of networks and the internet, making the vision of the semantic web and Internet of Things a reality. Many encryption techniques that purpor...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1290 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1857415062761766912 |
|---|---|
| author | Abu Zitar, Raed |
| author2 | Al-Muhammed, Muhammed J. |
| author2_role | author |
| author_facet | Abu Zitar, Raed Al-Muhammed, Muhammed J. |
| author_role | author |
| dc.creator.none.fl_str_mv | Abu Zitar, Raed Al-Muhammed, Muhammed J. |
| dc.date.none.fl_str_mv | 2022-06-22T11:23:11Z 2022-06-22T11:23:11Z 2022 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.3390/electronics11121919 https://depot.sorbonne.ae/handle/20.500.12458/1290 10.1038/s41598-022-14356-x |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Scientific Reports 2045-2322 |
| dc.subject.none.fl_str_mv | computational sciences Computer science Information technology |
| dc.title.none.fl_str_mv | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | Protecting information privacy is likely to promote trust in the digital world and increase its use. This trust may go a long way toward motivating a wider use of networks and the internet, making the vision of the semantic web and Internet of Things a reality. Many encryption techniques that purport to protect information against known attacks are available. However, since the security challenges are ever-growing, devising effective techniques that counter the emerging challenges seems a rational response to these challenges. This paper proffers an encryption technique with a unique computational model that inspires ideas from color theory and chaotic systems. This mix offers a novel computation model with effective operations that (1) highly confuse plaintext and (2) generate key-based enormously complicated codes to hide the resulting ciphertext. Experiments with the prototype implementation showed that the proposed technique is effective (passed rigorous NIST/ENT security tests) and fast. |
| id | sorbonner_3fea427f18f94d1ddb43be5d1342555f |
| identifier_str_mv | 10.3390/electronics11121919 10.1038/s41598-022-14356-x |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1290 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortionAbu Zitar, RaedAl-Muhammed, Muhammed J.computational sciencesComputer scienceInformation technologyProtecting information privacy is likely to promote trust in the digital world and increase its use. This trust may go a long way toward motivating a wider use of networks and the internet, making the vision of the semantic web and Internet of Things a reality. Many encryption techniques that purport to protect information against known attacks are available. However, since the security challenges are ever-growing, devising effective techniques that counter the emerging challenges seems a rational response to these challenges. This paper proffers an encryption technique with a unique computational model that inspires ideas from color theory and chaotic systems. This mix offers a novel computation model with effective operations that (1) highly confuse plaintext and (2) generate key-based enormously complicated codes to hide the resulting ciphertext. Experiments with the prototype implementation showed that the proposed technique is effective (passed rigorous NIST/ENT security tests) and fast.2022-06-22T11:23:11Z2022-06-22T11:23:11Z2022Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.3390/electronics11121919https://depot.sorbonne.ae/handle/20.500.12458/129010.1038/s41598-022-14356-xenScientific Reports2045-2322oai:depot.sorbonne.ae:20.500.12458/12902024-09-11T10:57:33Z |
| spellingShingle | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion Abu Zitar, Raed computational sciences Computer science Information technology |
| title | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion |
| title_full | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion |
| title_fullStr | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion |
| title_full_unstemmed | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion |
| title_short | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion |
| title_sort | Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion |
| topic | computational sciences Computer science Information technology |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1290 |