A Cognitive Comparative Analysis of Geometric Shape-Based Cryptosystem

Cryptography is one of the most important and widely utilized applications in our daily lives, particularly in the protection of user data and information numerous organizations such as banks, government institutions, and communication companies require the use of a cryptosystem to safeguard their data during Internet transmissions and ensure secure transfer from the sender to the receiver. Cognitive cities are regularly automating the day-to-day urban processes and constantly expanding the objective-driven communities' collection to share the personal data that must be stored securely. The cloud provides a desirable platform for cognitive smart cities to access user data, enabling them to adapt their current actions and learn from past experiences. Various algorithms are used in cryptosystems to secure user data and information by encryption and decryption in all fields. Symmetric and asymmetric are the two types of cryptographic algorithms, which are used to secure user communication. Cryptography assists users in achieving data confidentiality, integrity, availability, authentication, and non-repudiation. In this paper, various methodologies like the ElGamal algorithm, RSA algorithm, Ring algorithm, and Hermitian curve algorithm are used for geometric shape cryptosystems to secure the data effectively. Cryptosystem algorithms enable high-security performance, effectiveness, high encryption effect, low time complexity, and low computation complexity, as demonstrated in this survey.