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    Digital Image Encryption Using Elliptic Curve Cryptography: A Review
    (Institute of Electrical and Electronics Engineers Inc., 2022) Habek, Muhammed; Genc, Yasin; Aytas, Nilay; Akkoc, Ahmet; Afacan, Erkan; Yazgan, Erdem
    Today, digital images are used in many different applications. They can be social media applications or critical applications such as military and medical. However, cyber attacks or privacy problems also cause serious security problems for digital images. Therefore, various methods are proposed to ensure privacy and security. The first science that comes to mind is cryptography. It is a science of encryption. Encryption methods ensure the privacy of data. Many encryption methods are used to ensure the privacy and accuracy of the digital images. This paper reviews the encryption method based on elliptic curve cryptography for digital image encryption. This review describes the parameters and security attacks that affect the performance of digital image encryption. In addition, existing studies are reviewed. Thus, this paper is about the usefulness of both design criteria to be considered for new digital image encryption methods and comparing existing studies. © 2022 IEEE.
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    Elliptic Curve Cryptography for Security in Connected Vehicles
    (IEEE, 2022) Genç, Yasin; Habek, Muhammed; Aytaş, Nilay; Akkoç, Ahmet; Afacan, Erkan; Yazgan, Erdem
    The concept of a connected vehicle refers to the linking of vehicles to each other and to other things. Today, developments in the Internet of Things (IoT) and 5G have made a significant contribution to connected vehicle technology. In addition to many positive contributions, connected vehicle technology also brings with it many security-related problems. In this study, a digital signature algorithm based on elliptic curve cryptography is proposed to verify the message and identity sent to the vehicles. In the proposed model, with the anonymous identification given to the vehicle by the central unit, the vehicle is prevented from being detected by other vehicles and third parties. Thus, even if the personal data produced in the vehicles is shared, it cannot be found which vehicle it belongs to.