Chaos-based Encryption Keys and Neural Key-store for Cloudhosted Data Confidentiality

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dc.contributor.authorMosola, N.N.
dc.contributor.authorDlamini, M.T.
dc.contributor.authorBlackledge, J.M.
dc.contributor.authorEloff, J.H.P.
dc.contributor.authorVenter, H.S.
dc.date.accessioned2020-03-18T13:47:22Z
dc.date.available2020-03-18T13:47:22Z
dc.date.issued2017-09
dc.descriptionSouthern Africa Telecommunication Networks and Applications Conference (SATNAC) 2017, 3-10 September 2017, Freedom of the Seas Cruiseen_ZA
dc.description.abstractCloud computing brings flexible and cost effective services. However, security concerns plague the cloud. Data confidentiality is one of the concerns inhibiting the adoption of cloud computing. This concern stems from various cyberattacks directed towards gaining unauthorised access to cloud-bound or cloud-hosted data. This paper proposes a client-end encryption and key management system to curb attacks that targets compromising the confidentiality of cloud-hosted data. The proposed system uses chaotic atmospheric noise to generate a fitness function. The fitness function generates random numbers which create encryption keys. The strength of the encryption keys is derived from the chaotic and random nature of the atmospheric noise. The keys are then used for encrypting cloud-bound data using Advanced Encryption Standard (AES-128, 192 and 256), Data Encryption Standard (DES), 3-DES, and our novel cryptosystem named Cryptor, before it can be sent to the cloud. However, encryption bears no significance if the key management is flawed. To address the inherent key management problem, the solution uses a neural network to learn patterns of an encryption key. Once learnt, the key is then discard to thwart possible key attacks. The key is reconstructed by the neural network for decryption purposes.en_ZA
dc.identifier.citationMosola, N.N. et al. (2017) Chaos-based Encryption Keys and Neural Key-store for Cloud-hosted Data Confidentiality, Southern Africa Telecommunication Networks and Applications Conference (SATNAC, 2017), Royal Caribbean International, September 3-10, pp. 168-173, 2017.en_ZA
dc.identifier.urihttps://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1266&context=engscheleart
dc.identifier.urihttp://repository.tml.nul.ls/handle/20.500.14155/1444
dc.language.isoenen_ZA
dc.publisherTechnological University Dublinen_ZA
dc.subjectCloud computingen_ZA
dc.subjectconfidentialityen_ZA
dc.subjectchaotic noiseen_ZA
dc.subjectencryptionen_ZA
dc.subjectneural networken_ZA
dc.titleChaos-based Encryption Keys and Neural Key-store for Cloudhosted Data Confidentialityen_ZA
dc.typeConferencepaperen_ZA
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