Experimental evaluation demonstrates enhanced entropy and cryptanalysis resistance in Arabic text communication, highlighting a culturally adaptive lightweight encryption standard.
Historically, cryptography and language have shared a deep conceptual connection. Early classical ciphers, such as monoalphabetic substitutions and polyalphabetic systems, were inherently language-dependent, exploiting structural features of alphabetic systems. Yet modern cryptographic theory, particularly after Shannon’s seminal formalization of confusion and diffusion, shifted toward mathematically rigorous, language-agnostic constructions. This abstraction significantly improved provable security guarantees but removed potential entropy sources embedded within linguistic systems. Natural languages are not merely symbolic collections but structured systems characterized by orthographic rules, morphological transformations, contextual variations, and phonetic redundancy. The Arabic language, in particular, exhibits several structural characteristics that make it uniquely suitable for cryptographic modelling. Unlike Latin-based alphabets, Arabic letters adopt contextual forms depending on positional placement within a word (isolated, initial, medial, final). Moreover, diacritics (harakat) introduce optional phonetic variability without altering semantic identity in many contexts. The language also follows a triliteral root–pattern morphological system, generating extensive lexical families from limited root structures. These characteristics collectively produce an intrinsic polymorphic symbol space. Through experimental validation using representative Arabic corpora, ALCS-26 enhances ciphertext entropy, exhibits strong avalanche characteristics, and provides resistance to frequency-based cryptanalysis. The alignment of cryptographic design with linguistic structure in ALCS-26 establishes a culturally appropriate encryption paradigm for secure messaging, IoT implementations, and text-image steganographic integration in Arabic-speaking communities. This framework contributes to the emerging area of language-aware cryptographic engineering and supplements previous work on image-based secure communication systems.
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Nujumudeen et al. (2026) studied this question.
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