Symmetric Encryption Schemes Based On Non-Deterministic Random Numbers And Chaotic Maps

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dc.contributor.authorTeh, Je Sen
dc.date.accessioned2018-02-08T07:12:30Z
dc.date.available2018-02-08T07:12:30Z
dc.date.issued2017-05
dc.description.abstractSymmetric encryption provides data confidentiality. However, it is susceptible to statistical-based cryptanalytic attacks. Ciphers can be attacked due to their deterministic nature, which maps each plaintext to one ciphertext for the same inputs. To address this issue, this research proposes new symmetric encryption schemes which integrate true random number generators (TRNGs). This results in ciphertexts that are randomized even when the plaintext and secret key are both constant. However, TRNGs are generally slow and require specialized hardware to extract entropy from physical phenomena. For the resulting encryption schemes to have good performance, TRNGs based on existing computing hardware are developed in this research. These generators are designed to outperform existing TRNGs with the same entropy sources. Chaotic maps are used to design the encryption schemes and TRNGs due to their high sensitivity to parameter changes and pseudorandom behaviour. The proposed TRNGs depict good performance and no statistical defects. A concrete authenticated block cipher and a stream cipher are designed as proof-of-concepts for the proposed encryption schemes. Results show that the ciphers are resistant to statistical-based cryptanalysis. When implemented with TRNGs, the proposed ciphers have increased immunity against these attacks. Thus, the proposed symmetric encryption schemes are practical alternatives to current encryption standards especially when immunity against cryptanalysis is required.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/5506
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectNew symmetric encryption schemesen_US
dc.subjectwhich integrate true random number generatorsen_US
dc.titleSymmetric Encryption Schemes Based On Non-Deterministic Random Numbers And Chaotic Mapsen_US
dc.typeThesisen_US
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