Bit-Based Evaluation of Lightweight Block Ciphers SLIM, LBC-IoT, and SLA by Mixed Integer Linear Programming

IF 1.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Information Security Pub Date : 2024-08-23 DOI:10.1049/2024/1741613
Nobuyuki Sugio
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Abstract

Many lightweight block ciphers have been proposed for IoT devices that have limited resources. SLIM, LBC-IoT, and SLA are lightweight block ciphers developed for IoT systems. The designer of SLIM presented a 7-round differential distinguisher and an 11-round linear trail using a heuristic method. We have comprehensively sought the longest distinguisher for linear cryptanalysis, zero-correlation linear cryptanalysis, impossible differential attack, and integral attack using the mixed integer linear Programming (MILP) on SLIM, LBC-IoT, and SLA. The search led to discovery of a 16-round linear trail on SLIM, which is 5-round longer than the earlier result. We have also discovered 7-, 7-, and 9-round distinguishers for zero-correlation linear cryptanalysis, impossible differential attack, and integral attack, which are new results for SLIM. We have revealed 9-, 8-, and 11-round distinguishers on LBC-IoT for zero-correlation linear cryptanalysis, impossible differential attack, and integral attack. We have presented full-round distinguishers on SLA for integral attack using only two chosen plaintexts. We performed a key recovery attack on 16-round SLIM with an experimental verification. This verification took 106 s with a success rate of 93%. Moreover, we present a key recovery attack on 19-round SLIM using 16-round linear trail with correlation 2−15: the necessary number of known plaintext–ciphertext pairs is 231; the time complexity is 264.4 encryptions; and the memory complexity is 238 bytes. Results show that this is the current best key recovery attack on SLIM. Because the recommended number of rounds is 32, SLIM is secure against linear cryptanalysis, as demonstrated herein.

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通过混合整数线性规划对轻量级块密码 SLIM、LBC-IoT 和 SLA 进行基于比特的评估
针对资源有限的物联网设备提出了许多轻量级块状密码。SLIM、LBC-IoT 和 SLA 就是为物联网系统开发的轻量级块状密码。SLIM 的设计者采用启发式方法提出了 7 轮差分区分器和 11 轮线性跟踪。我们在 SLIM、LBC-IoT 和 SLA 上使用混合整数线性规划(MILP)全面寻找了线性密码分析、零相关线性密码分析、不可能的差分攻击和积分攻击的最长区分器。通过搜索,我们在 SLIM 上发现了一条 16 轮的线性线索,比之前的结果多了 5 轮。我们还发现了零相关线性密码分析、不可能差分攻击和积分攻击的 7 轮、7 轮和 9 轮分辨器,这是 SLIM 的新成果。我们在 LBC-IoT 上发现了针对零相关线性密码分析、不可能差分攻击和积分攻击的 9 轮、8 轮和 11 轮区分器。我们在 SLA 上提出了全轮区分器,只需使用两个选定的明文即可实现积分攻击。我们对 16 轮 SLIM 进行了密钥恢复攻击,并进行了实验验证。验证耗时 106 秒,成功率为 93%。此外,我们还利用相关性为 2-15 的 16 轮线性跟踪对 19 轮 SLIM 进行了密钥恢复攻击:已知明文-密文对的必要数量为 231;时间复杂度为 264.4 次加密;内存复杂度为 238 字节。结果表明,这是目前对 SLIM 的最佳密钥恢复攻击。由于推荐的轮数是 32,因此 SLIM 可以安全地抵御线性密码分析,这一点在本文中得到了证明。
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来源期刊
IET Information Security
IET Information Security 工程技术-计算机:理论方法
CiteScore
3.80
自引率
7.10%
发文量
47
审稿时长
8.6 months
期刊介绍: IET Information Security publishes original research papers in the following areas of information security and cryptography. Submitting authors should specify clearly in their covering statement the area into which their paper falls. Scope: Access Control and Database Security Ad-Hoc Network Aspects Anonymity and E-Voting Authentication Block Ciphers and Hash Functions Blockchain, Bitcoin (Technical aspects only) Broadcast Encryption and Traitor Tracing Combinatorial Aspects Covert Channels and Information Flow Critical Infrastructures Cryptanalysis Dependability Digital Rights Management Digital Signature Schemes Digital Steganography Economic Aspects of Information Security Elliptic Curve Cryptography and Number Theory Embedded Systems Aspects Embedded Systems Security and Forensics Financial Cryptography Firewall Security Formal Methods and Security Verification Human Aspects Information Warfare and Survivability Intrusion Detection Java and XML Security Key Distribution Key Management Malware Multi-Party Computation and Threshold Cryptography Peer-to-peer Security PKIs Public-Key and Hybrid Encryption Quantum Cryptography Risks of using Computers Robust Networks Secret Sharing Secure Electronic Commerce Software Obfuscation Stream Ciphers Trust Models Watermarking and Fingerprinting Special Issues. Current Call for Papers: Security on Mobile and IoT devices - https://digital-library.theiet.org/files/IET_IFS_SMID_CFP.pdf
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