Otonom mobil robotların güvenli veri iletimi için hibrit şifreleme yaklaşımı.

Today, with the continuous advancement of technological developments, autonomous and semi-autonomous vehicles facilitate our operations in many areas such as personal and commercial transportation, agriculture, construction and mining, research and exploration. Among these vehicles are autonomous mobile robots (AMRs), which are frequently preferred in factories. One of the reasons why AMRs are preferred is that there is insufficient manpower in the areas where they are used. Secondly, these robots can eliminate risky situations that can threaten the health of workers. In addition, AMRs have the potential to save manpower. In this study, we aim to provide data security for AMRs using wireless communication technologies by using a hybrid encryption method. The security performance of asymmetric encryption and the fast communication advantages of symmetric encryption make it necessary to use both encryption methods together for AMRs. In the hybrid encryption approach, the asymmetric encryption method ECC (Elliptic Curve Cryptography) and the symmetric encryption method AES (Advanced Encryption Standard) are used together. ECDSA (Elliptic Curve Digital Signature Algorithm), the digital signature method based on the ECC encryption method, was used as a reference. In the AES encryption method, GCM (Galois/Counter Mode) is preferred since verification is performed in addition to encryption. In this study, AMRs, which communicate with each other or with the controller system and act as data senders, were encrypted using ECDSA-AES/GCM hybrid encryption method using Python programming language and their performance was evaluated. In this way, the protection of the confidentiality and integrity of the transmitted data in case of a possible data leakage during wireless communication will be examined. As a result, this proposed method aims to provide an important step in terms of data security for autonomous mobile robots using wireless communication. [ABSTRACT FROM AUTHOR]