A Survey of Lightweight Image Encryption for IoT
IoT networks serve as a way for various devices interconnected over the internet to exchange data with each other and with other services. Most smartphones, laptops, and other communication devices are connected to the cloud today, making data accessible to everyone. There are many applications for...
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| Autores principales: | , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
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| Acceso en línea: | https://www.intechopen.com/chapters/82921 |
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| _version_ | 1879164773803753472 |
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| author | Dweik, Haneen Abutaha, Mohammad |
| author_browse | Abutaha, Mohammad Dweik, Haneen |
| author_facet | Dweik, Haneen Abutaha, Mohammad |
| author_sort | Dweik, Haneen |
| building | IntechOpen |
| collection | Acceso abierto |
| description | IoT networks serve as a way for various devices interconnected over the internet to exchange data with each other and with other services. Most smartphones, laptops, and other communication devices are connected to the cloud today, making data accessible to everyone. There are many applications for IoT, from smart IoT applications to industrial products. Encryption is one of the best ways to make IoT networks secure since so much data is being transferred. A lightweight block cipher is one of the most sophisticated means for overcoming the security problems inherent to IoT networks. Because of the limited resources available to nodes, classical cryptography methods are costly and inefficient. In this paper, we have compared the systems, we have found that these modifications were made to the original AES algorithm, while the original algorithm security remains robust, the modified AES algorithm remains lightweight and faster, providing more satisfaction for embedding in IoT devices and sensors that consume little power. Furthermore, this algorithm enhanced the AES-ECC hybrid encryption system, which has good flexibility and versatility, and optimized the design of the ECC function according to the characteristics of wireless sensor networks. Using Salsa20/12 stream cipher, the texture images can be encrypted using bit masking and permutation procedures and as part of a new scheme for encrypting 3D objects, which complements the existing methods for 3D object encryption. With PLIE implemented in Python, the encryption time was approximately 50% faster than that of AES using the throughput increase, faster encryption time, and minimal complexity. |
| doi_str_mv | 10.5772/intechopen.104431 |
| first_indexed | 2026-10-15T21:39:40Z |
| format | Book Chapter |
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<dc:title>A Survey of Lightweight Image Encryption for IoT</dc:title>
<dc:creator>Haneen Dweik</dc:creator>
<dc:creator>Mohammad Abutaha</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>IoT networks serve as a way for various devices interconnected over the internet to exchange data with each other and with other services. Most smartphones, laptops, and other communication devices are connected to the cloud today, making data accessible to everyone. There are many applications for IoT, from smart IoT applications to industrial products. Encryption is one of the best ways to make IoT networks secure since so much data is being transferred. A lightweight block cipher is one of the most sophisticated means for overcoming the security problems inherent to IoT networks. Because of the limited resources available to nodes, classical cryptography methods are costly and inefficient. In this paper, we have compared the systems, we have found that these modifications were made to the original AES algorithm, while the original algorithm security remains robust, the modified AES algorithm remains lightweight and faster, providing more satisfaction for embedding in IoT devices and sensors that consume little power. Furthermore, this algorithm enhanced the AES-ECC hybrid encryption system, which has good flexibility and versatility, and optimized the design of the ECC function according to the characteristics of wireless sensor networks. Using Salsa20/12 stream cipher, the texture images can be encrypted using bit masking and permutation procedures and as part of a new scheme for encrypting 3D objects, which complements the existing methods for 3D object encryption. With PLIE implemented in Python, the encryption time was approximately 50% faster than that of AES using the throughput increase, faster encryption time, and minimal complexity.</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2022-08-02</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
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<dc:identifier>doi:10.5772/intechopen.104431</dc:identifier>
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<dc:relation>ISBN:978-1-80355-732-8</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/11190 ; Lightweight Cryptographic Techniques and Cybersecurity Approaches</dc:source>
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| institution | IntechOpen |
| isbn | 978-1-80355-732-8 |
| language | English |
| last_indexed | 2026-10-15T21:39:40Z |
| publishDate | 2022 |
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| spelling | intech-829212022-08-02 A Survey of Lightweight Image Encryption for IoT Haneen Dweik Mohammad Abutaha Physical Sciences, Engineering and Technology IoT networks serve as a way for various devices interconnected over the internet to exchange data with each other and with other services. Most smartphones, laptops, and other communication devices are connected to the cloud today, making data accessible to everyone. There are many applications for IoT, from smart IoT applications to industrial products. Encryption is one of the best ways to make IoT networks secure since so much data is being transferred. A lightweight block cipher is one of the most sophisticated means for overcoming the security problems inherent to IoT networks. Because of the limited resources available to nodes, classical cryptography methods are costly and inefficient. In this paper, we have compared the systems, we have found that these modifications were made to the original AES algorithm, while the original algorithm security remains robust, the modified AES algorithm remains lightweight and faster, providing more satisfaction for embedding in IoT devices and sensors that consume little power. Furthermore, this algorithm enhanced the AES-ECC hybrid encryption system, which has good flexibility and versatility, and optimized the design of the ECC function according to the characteristics of wireless sensor networks. Using Salsa20/12 stream cipher, the texture images can be encrypted using bit masking and permutation procedures and as part of a new scheme for encrypting 3D objects, which complements the existing methods for 3D object encryption. With PLIE implemented in Python, the encryption time was approximately 50% faster than that of AES using the throughput increase, faster encryption time, and minimal complexity. IntechOpen 2022-08-02 Chapter, Part Of Book https://www.intechopen.com/chapters/82921 doi:10.5772/intechopen.104431 en ISBN:978-1-80355-732-8 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/11190 ; Lightweight Cryptographic Techniques and Cybersecurity Approaches |
| spellingShingle | Physical Sciences, Engineering and Technology Dweik, Haneen Abutaha, Mohammad A Survey of Lightweight Image Encryption for IoT |
| title | A Survey of Lightweight Image Encryption for IoT |
| title_full | A Survey of Lightweight Image Encryption for IoT |
| title_fullStr | A Survey of Lightweight Image Encryption for IoT |
| title_full_unstemmed | A Survey of Lightweight Image Encryption for IoT |
| title_short | A Survey of Lightweight Image Encryption for IoT |
| title_sort | survey of lightweight image encryption for iot |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/82921 |
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