GORS 2(16) Protecting and securing satellite images by applying encryption algorithms

Authors

  • Rasha Hmishah

Keywords:

Chickpea, Remote Sensing, Image Encryption, Selective Encryption, Encryption

Abstract

Abstract: Many fields rely on remote sensing, which studies the properties of objects without physical contact. Artificial satellites orbit the Earth to collect images using sensors, providing a wealth of information that is invaluable. These images are sent to ground stations for processing and analysis because their importance in fields such as agriculture, space, weather, astronomy, and geology is significant. Therefore, ensuring the safe storage and transmission of satellite images to authorized users is a critical issue and basic requirement. Encryption aims to secure data and transform it into an unreadable format to ensure confidentiality and prevent modification. However, traditional encryption methods can be slow and consume a lot of energy due to the large size and real-time processing requirements of images. This research studied methods of protecting and securing satellite images by applying encryption algorithms such as AES, Blowfish, 3DES, and others. The study also calculated the computational resources saved when applying selective encryption to encrypt specific parts of images of interest to the user instead of encryption the entire images. The research concluded that the Advanced Encryption Standard (AES) algorithm is the best for protecting satellite images, as it provides the shortest encryption time and good results. Additionally, applying selective encryption with AES increased the saving of time and computational resources.

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Published

2024-01-04

Issue

Section

Articles