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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Securing Data with Artificial Intelligence |
| Authors Name: | Hemanth Kodumuri , Nithesh Reddy , Anil Reddy , Sai Manoj kumar , Dr,Thirupurasundari DR |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_185828
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| Published Paper Id: | IJRTI2304051 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Today, supplying records to the community and their safety is a severe trouble. A consumer in a data alternate machine files his file encrypted the usage of a non-public key. This belongings is mainly applicable for any large facts exchange machine, due to the fact that any user can crack the facts key, and then it will be difficult for the data owner to maintain the safety of the records. This article provides a reliable and powerful instantiation of the Scheme, proves its safety, and shows its sensible implementation. There are many demanding situations for the records owner to share their information on servers or inside the cloud. There are various solutions to resolve these issues. These methods are important for coping with the important thing shared by way of the facts master. This file affords the depended on authority to authenticate customers who get entry to the cloud information. The SHA set of rules is used by a depended on authority to generate a key and deliver this key to the person in addition to the owner. The credit score government module receives the encrypted report the usage of the AES algorithm from the proprietor's statistics and calculates the price of the deduction the usage of the MD-V algorithm. It gives a key in its database a good way to be utilized in dynamic operations and to perceive the fraudulent birthday celebration inside the system. The depended on authority sends the file to the CSP module for storage within the cloud. It is shown that the ensuing key blocks have most of the suited properties that ensure the confidentiality of conversation sessions from an assault by using tampering with the breaching of the network nodes. |
| Keywords: | SectNet, Blockchain, AI, Security |
| Cite Article: | "Securing Data with Artificial Intelligence", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.305 - 309, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304051.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 |
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Published Paper ID: IJRTI2304051
Registration ID:185828
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 305 - 309 Country: Chennai, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304051 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304051 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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