Differential and Linear Cryptanalysis of the IoT-Friendly MGFN Block Cipher

Developed in 2023, the Modified Generalized Feistel Network (MGFN) is a block cipher that complies with Malaysia’s national cryptographic and cybersecurity policies. MGFN is a 64-bit block cipher with a 128-bit master key, specifically designed to deliver lightweight cybersecurity in resource-constrained Internet of Things (IoT) environments. In this paper, we analyze the security of the full-round MGFN against differential and linear cryptanalysis. We present concrete key recovery strategies for both attacks by employing multiple peeling-off steps. As a result, for the first time, we demonstrate a practical differential cryptanalysis of the full-round MGFN within a realistic time bound. In addition, we propose a practical linear cryptanalysis of the round-reduced MGFN. Our results provide the first practical security assessment of MGFN and offer concrete insights into its resistance against differential and linear cryptanalysis, thereby supporting the design and evaluation of lightweight block ciphers for IoT environments.

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Publication Details

Journal
Electronics
Published
2026-03-09
DOI
https://doi.org/10.3390/electronics15051126
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Differential and Linear Cryptanalysis of the IoT-Friendly MGFN Block Cipher

Yongjin Jeon, Giyoon Kim, Seungjun Baek, Wonwoo Song et al.
Electronics
Cryptographic Implementations and Security
article

Differential and Linear Cryptanalysis of the IoT-Friendly MGFN Block Cipher

Yongjin Jeon, Giyoon Kim, Seungjun Baek, Wonwoo Song, Namil Kim, Jongsung Kim, Changhoon Lee
article en

Abstract

Developed in 2023, the Modified Generalized Feistel Network (MGFN) is a block cipher that complies with Malaysia’s national cryptographic and cybersecurity policies. MGFN is a 64-bit block cipher with a 128-bit master key, specifically designed to deliver lightweight cybersecurity in resource-constrained Internet of Things (IoT) environments. In this paper, we analyze the security of the full-round MGFN against differential and linear cryptanalysis. We present concrete key recovery strategies for both attacks by employing multiple peeling-off steps. As a result, for the first time, we demonstrate a practical differential cryptanalysis of the full-round MGFN within a realistic time bound. In addition, we propose a practical linear cryptanalysis of the round-reduced MGFN. Our results provide the first practical security assessment of MGFN and offer concrete insights into its resistance against differential and linear cryptanalysis, thereby supporting the design and evaluation of lightweight block ciphers for IoT environments.

ElectronicsVol. 15(5)
Kookmin University (KR), Seoul National University of Science and Technology (KR), Pukyong National University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Decent work and economic growth
Openalex Percentile: Top 33%
Cryptographic Implementations and Security
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Differential and Linear Cryptanalysis of the IoT-Friendly MGFN Block Cipher — Yongjin Jeon, Giyoon Kim, et al. · Electronics (2026) | TGRS Research Map | TGRS