Szczegóły publikacji

Opis bibliograficzny

Cryptographic algorithms with data shorter than the encryption key, based on LZW and Huffman coding / Tomasz Krokosz, Jarogniew Rykowski, Małgorzata ZAJĘCKA, Robert BRZOZA-WOCH, Leszek RUTKOWSKI // Sensors [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1424-8220. — 2023 — vol. 23 iss. 17 art. no. 7408, s. 1-19. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 19, Abstr. — Publikacja dostępna online od: 2023-08-25. — L. Rutkowski - dod. afiliacja: Systems Research Institute of the Polish Academy of Sciences

Autorzy (5)

Słowa kluczowe

privacyinformation securitycompressionentropyLZWshort encryption keyHuffman coding

Dane bibliometryczne

ID BaDAP150198
Data dodania do BaDAP2024-01-04
Tekst źródłowyURL
DOI10.3390/s23177408
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaSensors

Abstract

Modern, commonly used cryptosystems based on encryption keys require that the length of the stream of encrypted data is approximately the length of the key or longer. In practice, this approach unnecessarily complicates strong encryption of very short messages commonly used for example in ultra-low-power and resource-constrained wireless network sensor nodes based on microcontrollers (MCUs). In such cases, the data payload can be as short as a few bits of data while the typical length of the key is several hundred bits or more. The article proposes an idea of employing a complex of two algorithms, initially applied for data compression, acting as a standard-length encryption key algorithm to increase the transmission security of very short data sequences, even as short as one or a few bytes. In this article, we present and evaluate an approach that uses LZW and Huffman coding to achieve data transmission obfuscation and a basic level of security.

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artykuł
#146020Data dodania: 1.4.2023
Lightweight compression with encryption based on asymmetric numeral systems / Jarosław Duda, Marcin NIEMIEC // International Journal of Applied Mathematics and Computer Science ; ISSN 1641-876X. — 2023 — vol. 33 no. 1, s. 45–55. — Bibliogr. s. 54–55, Abstr.