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Implementing Cryptographic Algorithms for Securing Online Transactions

  • J. Bhuvana*
  • , Rahul Bhatt
  • , Prakash B. Metre
  • , Awakash Mishra
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cryptographic algorithms are critical in securing online transactions. They provide relaxed verbal exchange channels for fairly touchy statistics that wishes to be reliably transmitted among a couple of remote events. Cryptographic algorithms permit for at ease authentication, confidentiality, non-repudiation, and integrity amongst events for their virtual activities. Implementing those algorithms is a complex procedure, however, due to the ever-changing nature of security threats, acquiring an expertise of the way to properly implement cryptographic algorithms becomes critical. This paper makes a speciality of how to correctly enforce cryptographic algorithms for securing on-line transactions. Precise topics consist of excellent practices for deciding on an appropriate algorithms, fine techniques for key distribution, necessary gadget necessities for cozy on line communications, the process for implementing them, and the importance of securely storing encryption keys. Via expertise the specified procedures and strategies, developers and users might be capable of correctly and securely make on-line transactions.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Data Science, Machine Learning and Applications - ICDSMLA 2023
EditorsAmit Kumar, Vinit Kumar Gunjan, Sabrina Senatore, Yu-Chen Hu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages626-631
Number of pages6
ISBN (Print)9789819780426
DOIs
Publication statusPublished - 2025
Event5th International Conference on Data Science, Machine Learning and Applications, ICDSMLA 2023 - Hyderabad, India
Duration: 15-12-202316-12-2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1274 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference5th International Conference on Data Science, Machine Learning and Applications, ICDSMLA 2023
Country/TerritoryIndia
CityHyderabad
Period15-12-2316-12-23

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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