A computer-aided feature-based encryption model with concealed access structure for medical Internet of Things

Creative Commons License

Vaidya S., Suri A., Batla V., Keshta I., AJIBADE S. M., Safarov G.

Decision Analytics Journal, cilt.7, 2023 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.dajour.2023.100257
  • Dergi Adı: Decision Analytics Journal
  • Derginin Tarandığı İndeksler: Scopus
  • Anahtar Kelimeler: Clinical consumer, Data privacy, Feature-based encryption model, Internet of Things (IoT), Smart healthcare
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

One of the Internet of Things (IoT) security issues is the secure sharing and granular management of data access. This study recommends a feature-based encryption scheme with a hidden access structure for medical IoT data security. While establishing fine-grained access control of ciphertext data, the system can guarantee clinical client data privacy. First, it is recommended to convert identity-based encryption (IBE) into a feature-based encryption model (FBEM) using a universal conversion technique that supports multi-valued attributes and gates. IBE characteristics could be inherited by the converted FBEM. The conversion method is then used to change the receiver anonymous IBE scheme into the FBEM scheme with concealed access structure. The FBEM model is then used to construct the IoT scenario for the smart medical application. Theoretical analysis and experimental findings reveal that the suggested system provides advantages over prominent systems regarding computing efficiency, storage load, and security when the access structure is disguised.