Internet of Things (IoT) connects a myriad of small devices over a huge network, encompassing many different and varied applications and environments. As the IoT network continues to grow, providing end-to-end security over IoT is becoming a paramount issue. To mitigate existing and future security risks within IoT, two important factors should be considered. First, some resource-constrained edge devices have an insufficient area to contain the security part. Second, the advent of quantum computers threatens the security of current public-key cryptography algorithms. In response to these challenges, lattice-based cryptography (LBC) has emerged as a promising technique for IoT security in the quantum era. The feasibility of LBC integration onto resource-constrained devices has been demonstrated in previous research. Multiplication is the main operation in Ring-BinLWE, a type of LBC. In this paper, a new multiplication method is proposed, which is called In-place modular Reduction and anti-circular Rotation Column-based Multiplication (In-place Rot-Col-Mul), and new Ring-BinLWE architecture is designed. In-place Rot-Col-Mul performs a column-based multiplication in which one rotation is executed per cycle. The design was implemented on TSMC-$65nm$ technology and FPGA platforms. ASIC implementation results show a respective improvement in power and area over the state-of-the-art design by 48.42% and 57.8%, respectively.

物联网 (IoT) 通过庞大的网络连接无数小型设备，涵盖许多不同的应用程序和环境。随着物联网网络的不断发展，在物联网上提供端到端的安全性正成为一个最重要的问题。为了减轻物联网中现有和未来的安全风险，应考虑两个重要因素。首先，一些资源受限的边缘设备没有足够的区域来包含安全部分。其次，量子计算机的出现威胁到当前公钥密码算法的安全性。为了应对这些挑战，基于格的密码术 (LBC) 已成为量子时代物联网安全的一种有前途的技术。先前的研究已经证明了 LBC 集成到资源受限设备上的可行性。乘法是一种 LBC 的 Ring-BinLWE 中的主要运算。本文提出了一种新的乘法方法，称为原位模归约和反循环旋转列基乘法（In-place Rot-Col-Mul )，并设计了新的 Ring-BinLWE 架构。就地 Rot-Col-Mul 执行基于列的乘法，其中每个循环执行一次旋转。该设计是在台积电-$65n米$技术和 FPGA 平台。ASIC 实现结果显示，与最先进的设计相比，功耗和面积分别提高了 48.42% 和 57.8%。