Privacy-Preserving Image Protection in Cloud Computing Using Intelligent Encryption

Cloud computing have increased computing capabilities and open new horizons for computer science and communication but brought along challenges such as data protection, cloud computing uses information being sent over the cloud needs to be secured from potential malicious users and hackers who inten...

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Vydané v:2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0 s. 1 - 5
Hlavní autori: Mohamoud, Asad Hassan, Gupta, Ganesh, Kumar, Anuj
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 05.06.2024
Predmet:
Adaptable Algorithm
Cloud computing
Communication
confidentiality
cryptography
Cyber protection
Data Protection
dynamic cloud environments
Dynamics
Encryption Algorithm
Feistel-based symmetric encryption algorithm
Fiestal structure
Force
Heuristic algorithms
Image processing
Image Protection
Intelligent Encryption
privacy enhancement
robust image protection mechanisms
robust security
Secure Force (SF) Encryption
security
Technological innovation
Visualization
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Popis
Shrnutí:Cloud computing have increased computing capabilities and open new horizons for computer science and communication but brought along challenges such as data protection, cloud computing uses information being sent over the cloud needs to be secured from potential malicious users and hackers who intend to steal personal or private information and can use this in Inappropriate manner, This research paper addresses the critical issue of image privacy in cloud computing environments and proposes a novel approach for privacy-preserving image protection through the integration of intelligent encryption techniques. The primary focus of this research is to safeguard sensitive visual information stored and processed in cloud environments, where traditional encryption methods may fall short in preserving both confidentiality and utility. The proposed solution leverages intelligent encryption algorithms that adapt to the content of the images, ensuring robust protection while maintaining the functionality required for efficient cloudbased image processing. The findings of this research contribute to the ongoing discourse on privacy-preserving techniques in cloud computing and offer a promising avenue for the development of secure and efficient image protection mechanisms.
DOI:10.1109/OTCON60325.2024.10688284