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Journal of Cybersecurity in AI and Quantum Computing

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ONB-En 2.0: A Hardware-Optimized Lightweight Cipher with Bit-Sliced S-Boxes for IoT Security

ISSN: Pending Request (Online)Journal: Journal of Cybersecurity in AI and Quantum Computing
by 

Dena Abu Laila ORCID profile

Dena Abu Laila: Department of Information Technology, Faculty of Prince Al-Hussien Bin Abdullah 2 for IT, The Hashemite University, PO Box 330127, Zarqa 13133, Jordan Zarqa University, JOR

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Published: 2026/10/17

Pages: 134–149

Abstract

The deployment of the Internet of Things (IoT) has left a strong demand on lightweight cryptography. Security and efficiency algorithms on resource-constrained platforms. The given paper introduces the ONB-En 2.0, the improved variant of the ONB-En lightweight block cipher, which resolves the linearity issues that the predecessor was limited to by introducing the nonlinear elements in a very cautious manner. We develop a bit-sliced 4×4 S-box designing modelled by PRESENT, coupled with an optimized permutation layer that maintains hardware achievement while markedly improving resistance against differential and linear cryptanalysis. Our comprehensive security analysis demonstrates that ONB-En 2.0 achieves 10 rounds of security with differential probability bounded by 2−48 and linear bias magnitude below 2−24. Hardware implementation results on Xilinx Artix-7 FPGA show that ONB-En 2.0 requires only 1,247 gate equivalents (GE) with a throughput of 156.2 Mbps at 100 MHz, achieving 125 Kbps/GE efficiency. Comparative analysis against PRESENT, GIFT-128, and SPECK demonstrates that ONB-En 2.0 offers superior hardware efficiency while maintaining cryptographic strength suitable for IoT applications, including wireless sensor networks, RFID systems, and embedded secure communications.

Keywords

Lightweight cryptographyblock cipherIoT securityhardware optimizationS-box designresource-constrained devicesand FPGA implementation.

ONB-En 2.0: A Hardware-Optimized Lightweight Cipher with Bit-Sliced S-Boxes for IoT Security is licensed under CC BY 4.0CCBY

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