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Related Experiment Video

Updated: Jun 30, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Advanced security in fog environments using encryption and adaptive user activity tracking.

Hari Mohan Rai1, Abdul Razaque2, Neha Agarwal3

  • 1Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Astana, 010000, Kazakhstan.

Scientific Reports
|May 3, 2026
PubMed
Summary
This summary is machine-generated.

Adaptable User Activity Tracking (ASUT) enhances fog cloud security by integrating AES-256 encryption and SHA-512 hashing with user activity monitoring. This system improves data protection and detects unauthorized access, offering significant performance gains.

Keywords:
Confidential data securityCybersecurityEncrypting algorithmFog computingUser activity tracking

Related Experiment Videos

Last Updated: Jun 30, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Area of Science:

  • Computer Science
  • Cybersecurity
  • Cloud Computing

Background:

  • Fog computing environments present unique data protection challenges due to increased data storage.
  • Existing security measures may not adequately address the risks of data exploitation in fog cloud storage.

Purpose of the Study:

  • To introduce Adaptable User Activity Tracking (ASUT) for enhanced security and data protection in fog cloud environments.
  • To integrate Advanced Encryption Standard (AES)-256, Secure Hash Algorithm (SHA)-512, and user activity tracking (UAT) into a unified system.

Main Methods:

  • Files are encrypted using AES-256, with the key hashed via SHA-512 and stored in the fog cloud.
  • AES decryption uses key expansion, and SHA-512 verifies the user-provided key against the stored hash.
  • User activity is monitored in parallel to detect abnormal behavior and unauthorized access attempts.

Main Results:

  • The proposed ASUT system demonstrated a 43.39% increase in encryption speed and a 66% increase in decryption speed.
  • ASUT achieved 19.86% higher throughput compared to competing methods.
  • Experimental results indicate improved computational efficiency and practical feasibility.

Conclusions:

  • ASUT effectively mitigates risks associated with unauthorized data access in fog cloud environments.
  • The integration of encryption, hashing, and activity tracking provides a robust security solution.
  • The system offers practical feasibility and improved performance for fog cloud data protection.