Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms

Abstract

Recent developments in quantum computing have shed light on the shortcomings of the conventional public cryptosystem. Even while Shor’s algorithm cannot yet be implemented on quantum computers, it indicates that asymmetric key encryption will not be practicable or secure in the near future. The NIST has started looking for a post-quantum encryption algorithm that is resistant to the development of future quantum computers as a response to this security concern. The current focus is on standardizing asymmetric cryptography that should be impenetrable by a quantum computer. This has become increasingly important in recent years. Currently, the process of standardizing asymmetric cryptography is coming very close to being finished. This study evaluated the performance of two PQC algorithms, both of which were selected as NIST fourth-round finalists. The research assessed the key generation, encapsulation, and decapsulation operations, providing insights into their efficiency and suitability for real-world applications. Further research and standardization efforts are required to enable secure and efficient post-quantum encryption. When selecting appropriate post-quantum encryption algorithms for specific applications, factors such as security levels, performance requirements, key sizes, and platform compatibility should be taken into account. This paper provides helpful insight for post-quantum cryptography researchers and practitioners, assisting in the decision-making process for selecting appropriate algorithms to protect confidential data in the age of quantum computing.

Impact of Post Quantum Digital Signatures On Block Chain: Comparative Analysis

“…In distributed ledger systems like the block chain, the replication of data across multiple nodes exacerbates the consequences of enormous key and signature volumes. This can result in block chains becoming unwieldy and experiencing a decline in performance (Farooq et al, 2023).…”

Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network

“…This kind of ambiguities can be highlighted in diverse domains e.g. anomaly detection and secure networks [34]- [37], blockchain models [36], [38], [39]. Table 2 discusses pragmatic ambiguity detection approaches in requirement documents.…”