Privacy Preserving Fine Grained Data Sharing With Dynamic Service For The Cloud Edge Iot

Abstract

An Integration Of Cloud Computing, Edge Nodes, And IoT Devices Has Facilitated Intelligent And Timely Applications Based On Big Data. Securing The Sharing Of Sensitive Information In Such Settings Continues To Be A Challenge Due To Privacy Issues, Device Limitations, And The Necessity Of Adaptable Access. To Overcome These Challenges, This Work Suggests A Privacy-Preserving Fine-Grained Data Sharing (PF2DS) Framework. PF2DS Employs Attribute-Based Encryption (ABE) And Inner Product Encryption (IPE) For Enforcing Fine-grained Access Restrictions. PF2DS Enables Owners Of The Data To Set Explicit Access Restrictions Based On The Attributes Of The User Such That The Data Could Be Accessed By Authorized People. The PF2DS Framework Also Comprises A Precise Group Management System For Effective Revocation Of The User By Key Updating Without The Re-encryption Of All The Data. For Accommodating Low-performance Devices, A Special Enhanced Version Called Edge-Assisted PF2DS (EPF2DS) Is Presented. Executions Of Complex Encryption Procedures Are Delegated On The Edge Device By EPF2DS Such That Delay And Power Consumption Are Minimized. The Experimental Results Indicate That PF2DS Enhances Security, Supports Scalability, As Well As Responsiveness While Keeping The Data Private And Thus Suitable For The Exchange Of The Data Securely Within The Context Of Cloud-edge IoT Settings.

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