@inbook{92fce3eba2404d47bdac4a54ac21f679,
title = "A New DNA Based Encryption Algorithm for Internet of Things",
abstract = "Nowadays, with the widespread of the Internet of Things (IoT) applications in every aspect of our lives. It{\textquoteright}s urgent to protect the sensitive data such as images generated by IoT devices transmitted through the wireless network. Furthermore, IoT devices are considered constraint devices regarding limited computation resources such as processing and memory size. Thus, classical encryption methods are not appropriate due to their complex computation resources. Therefore, in this paper, we proposed a new lightweight encryption algorithm based on the DNA sequence to be adequate for IoT device{\textquoteright}s resources. In the proposed algorithm, we utilized the DNA sequence random nature to generate a strong secret key, which is hard to be broken by attackers. The DNA key is used to encrypt images by two simple and robust substitution and transposition operations where they meet the requirements of IoT computation resources and the protection of the transmitted images. Moreover, the experimental results show outstanding results regarding key size, encryption time, and preparation of distortion compared with other encryption algorithms.",
keywords = "Data encryption, DNA sequence, Image encryption, Internet of Things, Privacy, Security",
author = "Bassam Al-Shargabi and Al-Husainy, {Mohammed Abbas Fadhil}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2021",
month = may,
day = "6",
doi = "10.1007/978-3-030-70713-2_71",
language = "English",
series = "Lecture Notes on Data Engineering and Communications Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "786--795",
booktitle = "Lecture Notes on Data Engineering and Communications Technologies",
}