Secure Computation and Its Diverse Applications

Ronald Cramer

A. Anasuya Threse Innocent, K. Sangeeta, Amrita Vishwa

Introduced by Yao in early 1980s, secure computation is being one among the major area of research interest among cryptologists. In three decades of its growth, secure computation which can be called as two-party computation, or multiparty computation depending on the number of parties involved has experienced vast diversities. Research has been carried out by exploiting specific properties of functionalities and generic approach to achieve efficient practical secure computation protocols. This paper considers the application secure two-party computation of AES-128 for comparison of the above two approaches.

Cheng‐Ying Yang, Hsinying Liang, Pin-Yen Huang Huang

Cooperative system is a tendency for future communications because of its spatial diversity to improve the system performance. However, the security is a critical issue in the wireless application with a highly private request. Although the encryption schemes have been proposed to approach the secure purpose, those schemes need a lot of computing resource. It is not practical for the applications with limited computing ability, such as IoT. According to Shannon theory of perfect secrecy, the security could be implemented on the physical layer. Based on the positive secrecy rate, the evaluation of security, secure communication could be practical. This work concentrates on the theoretical solution to the secrecy rate in the AF mode cooperative communication system. Also, the numerical results with the proposed methodology are given. It shows the effects of eavesdropper could not affect the secure communication if the number of the eavesdropper is less than that of relays in the system. The appropriate relay assignment benefits the secure communication.

Geoffroy Couteau

Swathi Mummadi, Asral Bahari Jambek, Akshaya Siripuram +2 more

Quantum computing represents a transformative paradigm in modern computation, leveraging the principles of quantum mechanics to solve complex problems beyond the reach of classical computers. With applications across diverse fields, quantum computing plays a pivotal role in advancing cryptography, artificial intelligence, drug discovery and etc..Additionally, quantum computing enhances artificial intelligence by optimizing machine learning models, improves financial modeling, and supports climate simulation by processing vast datasets and intricate algorithms at unprecedented speeds. Its potential also extends to revolutionizing secure communications, personalized medicine, and sustainable energy solutions. As researchers and industries increasingly explore this field, quantum computing is poised to address previously intractable problems and redefine technological innovation. This chapter highlights its diverse and impactful applications, underscoring its promise to reshape industries and create groundbreaking advancements.

Ryo Kikuchi