NoLIEM: A Novel Lightweight Image Encryption Method for Resource-Constrained IoT Devices

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Athraa J. H. Witwit, Ahmed Fanfakh, Ali Kadhum Idrees
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引用次数: 0

Abstract

The expanded use of Internet of Things (IoT) devices in smart homes, industrial automation, healthcare, and smart cities has increased the risk of unauthorized access, data breaches, and man-in-the-middle attacks. Traditional encryption methods like AES and RSA are too energy- and processing-intensive for IoT devices. Therefore, it is essential to develop efficient, lightweight encryption methods to improve security while maintaining the longevity and functionality of IoT devices. This article proposes a novel lightweight image encryption method (NoLIEM) for resource-constrained IoT devices. NoLIEM uses a key-dependent and substitution layer at the same time. These key-dependent transformations protect the fundamental structure of the cipher algorithm, rendering it resistant to cryptanalysis while applying one-round encryption. The suggested NoLIEM uses a substitution box (S-box) and Feistel structures. We also conduct numerous security analysis tests using the proposed NoLIEM. The efficiency and effectiveness of pseudo-random number generators (PRNGs) of the suggested NoLIEM are demonstrated, and their performance is compared with existing lightweight cipher algorithms using correlation coefficients, information entropy, encryption quality, encryption duration, randomness, and attack analysis tests. According to the acquired results, the proposed NoLIEM works well in terms of security, complexity, and real-time cryptography applications. We compare the proposed NoLIEM with both known lightweight ciphering algorithms, SPECK and SIMON. The proposed NoLIEM outperforms the SPECK and SIMON, and PRESENT algorithms in terms of throughput by a ratio of 6.29 and 19.61, and 1319.36, respectively.

Abstract Image

NoLIEM:一种用于资源受限物联网设备的新型轻量级图像加密方法
物联网(IoT)设备在智能家居、工业自动化、医疗保健和智能城市中的广泛使用增加了未经授权访问、数据泄露和中间人攻击的风险。像AES和RSA这样的传统加密方法对于物联网设备来说过于耗能和处理密集。因此,必须开发高效、轻量级的加密方法,以提高安全性,同时保持物联网设备的使用寿命和功能。本文针对资源受限的物联网设备提出了一种新的轻量级图像加密方法(NoLIEM)。NoLIEM同时使用键依赖层和替换层。这些依赖于密钥的转换保护了密码算法的基本结构,使其在应用一轮加密时能够抵抗密码分析。建议的NoLIEM使用替代盒(S-box)和Feistel结构。我们还使用所提出的NoLIEM进行了大量安全分析测试。通过相关系数、信息熵、加密质量、加密持续时间、随机性和攻击分析等测试,将伪随机数生成器(prng)的性能与现有轻量级密码算法进行了比较。实验结果表明,所提出的NoLIEM在安全性、复杂性和实时性等方面都取得了良好的效果。我们将所提出的NoLIEM与两种已知的轻量级加密算法SPECK和SIMON进行了比较。所提出的NoLIEM算法在吞吐量方面分别比SPECK、SIMON和PRESENT算法高6.29、19.61和1319.36。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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