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Using cloud storage services, users can store their data in the cloud to avoid the expenditure of local data storage and maintenance. To ensure the integrity of the data stored in the cloud, many data integrity auditing schemes have been proposed. In most, if not all, of the existing schemes, a user needs to employ his private key to generate the data authenticators for realizing the data integrity auditing. Thus, the user has to possess a hardware token (e.g. USB token, smart card) to store his private key and memorize a password to activate this private key. If this hardware token is lost or this password is forgotten, most of the current data integrity auditing schemes would be unable to work. The proposed system uses biometric data (e.g. iris scan, fingerprint) as the user’s fuzzy private key to avoid using the hardware token. It introduces Encryption and Decryption using fuzzy logic and (n, n) secret shares using fuzzy logic. The meaning of fuzzy is vague, ambiguous and uncertain. Encryption and decryption methods using fuzzy logic will be difficult to guess. Hence secret sharing concept using fuzzy logic is better and enhanced method of encoding of data for more security. Visual cryptography is a technique of encryption to embed secret messages in an original image therefore the secret messages can be decrypted by the human view with requiring not much calculation. The (n, n) secret hiding scheme provides more security and confidentiality. In secret hiding, share images are constructed based on fuzzy logic and user desired input. The (n, n) secret sharing scheme divides information into n shares. During decryption the n shares are brought together recreate the secret information.
Keywords:
Cloud, Biometrics, Secret Shares
Cite Article:
"A Novel Framework For Secure Cloud Storage Using Biometrics Authentication And Visual Cryptography", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 4, page no.119 - 123, April-2020, Available :http://www.ijrti.org/papers/IJRTI2004020.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator