Yayın:
Analysis and improvement of a novel image fusion encryption algorithm based on DNA sequence operation and hyper-chaotic system

dc.contributor.authorOzkaynak, Fatih
dc.contributor.authorYavuz, Sirma
dc.date.accessioned2026-06-27T13:28:58Z
dc.date.issued2014
dc.description.abstractRecently, a novel image encryption algorithm based on DNA operation and hyper-chaotic system has been proposed by Zhang et al. The encryption algorithm first shuffles the image pixels using Chen chaotic system. After shuffling process, the proposed encryption algorithm changes the gray levels of the image pixels using DNA operation. In this study, we give out complete break for the proposed cryptosystem using a chosen plaintext attack. Both mathematical proofs and experimental results are presented to support the proposed attacks. Main motivation behind this study was to analyze whether proposed image encryption algorithm is suitable for secure communication or not. Based on the results of our analysis, we also discussed the potential improvements for the algorithm and proposed a modified new encryption algorithm accordingly. Essential elements of designing secure image encryption algorithms and potential application areas are also stated.en
dc.description.urihttps://doi.org/10.1007/s11071-014-1517-8
dc.identifier.doi10.1007/s11071-014-1517-8
dc.identifier.eissn1573-269X
dc.identifier.endpage1320
dc.identifier.issn0924-090X
dc.identifier.issue2
dc.identifier.startpage1311
dc.identifier.urihttps://hdl.handle.net/20.500.14981/53102
dc.identifier.volume78
dc.identifier.wos000343715100040
dc.language.isoeng
dc.publisherSPRINGER
dc.relation.ispartofNONLINEAR DYNAMICS
dc.subjectChaos
dc.subjectCryptography
dc.subjectCryptanalysis
dc.subjectImage encryption
dc.subjectDNA operation
dc.subjectBIT-LEVEL PERMUTATION
dc.subjectMAP
dc.subjectEngineering
dc.subjectMechanics
dc.titleAnalysis and improvement of a novel image fusion encryption algorithm based on DNA sequence operation and hyper-chaotic system
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar