Hybrid image encryption algorithm based on 3D chaotic system and choquet fuzzy integral

A hybrid chaos map with two control parameters to secure image encryption algorithms

“…To prove resistance and sensitivity of the new system in security algorithms, we apply outputs of chaos sequence in the image encryption algorithm suggested in [7]. The proposed map is replaced on the encryption algorithm.…”

“…When these values are close to 100% and 33.33% respectively, then encryption algorithm has high sensitivity of changing of plain image. In order to test the proposed algorithm, the results obtained for NPCR and UACI have been compared with the algorithm [7] in Table 1.…”

“…To show its performance in security applications, it is utilized in the image encryption method. The image encryption algorithm introduced in [7] is used to test the featurs of the new system.…”

A survey of image encryption for healthcare applications

“…However, the security analysis of the scheme needs to be investigated for other attacks. A new approach to upgrade the cryptographic features of S-boxes used as a basis of the Choquet Fuzzy Integral (CFI) and the DNA method has been proposed [112]. First of all, suggested methods construct a strong structure of four S-boxes using CFI, which are also encoded using the DNA method.…”

Application of generalized Choquet fuzzy integral method in the sustainability rating of green buildings based on the BSAM scheme

“…More so, it has only been applied once to solve an MCDM problem relating to sustainability issues when Ozdemir and Ozdemir (2018) employed the GCFI approach to select the best alternative among five residential heating systems. In the industrial sector, Demirel et al (2010) utilized GCFI to resolve a warehouse logistic issues for a large Turkish company while in the hospitality sector, Perçin (2019) used it to evaluate the quality of hospitals' websites; and Karczmarek et al (2018) employed GCFI for face recognition and classification; also, GCFI was used to evaluate equipment maintenance quality (Zhang et al, 2019), hybrid image encryption (Hosseinzadeh et al, 2019), and supplier selection for a steel factory (Çakır, 2017). Other applications of GCFI to solve MCDM problems include voice recognition, traffic surveillance, temperature prediction (Fang et al, 2010), game theory, neural networks (Qin et al, 2016), among others.…”