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A novel secure artificial bee colony with advanced encryption standard technique for biomedical signal processing

  • Brwa Khalil Abdullah Ahmed
  • , Rasha Dheyaa Mahdi
  • , Tarek Ismail Mohamed
  • , Refed Adnan Jaleel
  • , Mohanad Ahmed Salih
  • , Musaddak Maher Abdul Zahra
  • Erbil Polytechnic University
  • Northern Technical University
  • Al-Nahrain University
  • University of Anbar
  • Al-Mustaqbal University College
  • University of Babylon

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Over the years, the privacy of a biomedical signal processing is protected using the encryption techniques design and meta-heuristic algorithms which are significant domain and it will be more significant shortly. Present biomedical signal processing research contained security because of their critical role in any developing technology that contains applications of cryptography and health deployment. Furthermore, implementing public-key cryptography in biomedical signal processing sequence testing equipment needs a high level of skill. Whatever key is being broken with enough computing capabilities using brute-force attack. As a result, developing a biomedical signal processing cryptography model is critical for improving the connection between existing and emerging technology. Furthermore, public-key cryptography implementation for meta-heuristic-based bio medical signal processing sequence test equipment necessitates a high level of skill. The suggested novel technique can be used to develop a secure algorithm of artificial bee colony, which depend on the advanced encryption standard (AES). AES can be used to reduce the encryption time and to increase the protection capacity for health systems.

Original languageEnglish
Pages (from-to)288-294
Number of pages7
JournalPeriodicals of Engineering and Natural Sciences
Volume10
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • Abc
  • Aes
  • Bsp
  • Encryption
  • Optimization

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