Securing Data in the Internet of Things (IoT) using Metamorphic Cryptography - A Survey

Narayan, M. Shreyansh; Trivedi, Munesh Chandra; Dubey, Anil

doi:10.1109/cictn57981.2023.10141472

Cited by 1 publication

(1 citation statement)

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“…While AES-GCM is renowned for its rapid and efficient encryption, its effectiveness hinges on a critical operational requirement: the non-repetition of key-nonce pairings. This seemingly straightforward condition is crucial; a single lapse in AES-GCM can compromise the entire security framework [17][18][19][20]. Beyond specific algorithmic weaknesses, a broader challenge in cryptography is achieving a balance among confidentiality, authenticity, and integrity.…”

Section: Introductionmentioning

confidence: 99%

A Holistic Secure Communication Mechanism Using a Multilayered Cryptographic Protocol to Enhanced Security

Wang,

Tabassum

2024

CMC

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In an era characterized by digital pervasiveness and rapidly expanding datasets, ensuring the integrity and reliability of information is paramount. As cyber threats evolve in complexity, traditional cryptographic methods face increasingly sophisticated challenges. This article initiates an exploration into these challenges, focusing on key exchanges (encompassing their variety and subtleties), scalability, and the time metrics associated with various cryptographic processes. We propose a novel cryptographic approach underpinned by theoretical frameworks and practical engineering. Central to this approach is a thorough analysis of the interplay between Confidentiality and Integrity, foundational pillars of information security. Our method employs a phased strategy, beginning with a detailed examination of traditional cryptographic processes, including Elliptic Curve Diffie-Hellman (ECDH) key exchanges. We also delve into encrypt/decrypt paradigms, signature generation modes, and the hashes used for Message Authentication Codes (MACs). Each process is rigorously evaluated for performance and reliability. To gain a comprehensive understanding, a meticulously designed simulation was conducted, revealing the strengths and potential improvement areas of various techniques. Notably, our cryptographic protocol achieved a confidentiality metric of 9.13 in comprehensive simulation runs, marking a significant advancement over existing methods. Furthermore, with integrity metrics at 9.35, the protocol's resilience is further affirmed. These metrics, derived from stringent testing, underscore the protocol's efficacy in enhancing data security.

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Section: Introductionmentioning

confidence: 99%