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Recent Trends in Electronics Communication Systems Review Article

An Overview of Privacy-Preserving Data Encryption Techniques in Mobile Cloud Computing for Big Data

  1. Aakash Dongre Department of Electronics & Communication Engineering, Technocrats Institute of Technology, Bhopal
  2. Shaheen Ayyub Department of Electronics & Communication Engineering, Technocrats Institute of Technology, Bhopal

Abstract

With the introduction of mobile cloud computing (MCC), data processing, storage, and sharing have undergone a radical transformation that has greatly improved organizational effectiveness and quality of life. But there are also serious worries about data security and privacy due to the increasing usage of mobile devices and cloud computing, particularly when managing large amounts of data from many sources like sensors and cellphones. The privacy issues surrounding MCC are examined in this study, with a focus on large data applications. It covers several privacy-preserving strategies to protect sensitive data during transmission and storage, such as attribute-based encryption, data sanitization, and cryptographic algorithms. The examination addresses the special limitations of mobile devices and the requirement for safe, effective data handling techniques, emphasizing the trade-off between security and performance. It also examines the condition of MCC design now, stressing how crucial it is to strike a balance between transmission efficiency and privacy protection. The study's conclusion makes a case for more investigation into scalable, lightweight security solutions to address the changing needs of big data and MCC.

Keywords

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