SGER: Energy-Efficient FPGA Security Mechanisms for Large-Scale Sensor Networks

传感器网络在大小、电池、成本和基础设施方面基本上是资源受限的，但对于战场监视、环境监测、应急响应等各种应用具有吸引力。在部署这些网络时，提供安全通信是一个挑战。当前的技术实现了独立于节点能量级别的安全机制，可能会耗尽节点的能量，造成网络分区，并缩短网络生命周期。为了减少这些网络中的计算负荷，已经提出了加密算法的硬件实现。本研究的重点是传感器网络的安全通信，也是节能的。所提出的研究的智力优点是将节能和安全方案与特定于传感器网络的FPGA硬件实现相结合，这是该类的第一次尝试，并定量测量加密/解密对安全和能耗的影响。调查小组拥有硬件实现和传感器网络技术的知识和专业知识。本研究主要有两个重点：(i) FPGA加密/解密的实现和（ii）支持FPGA安全机制和提高能效的网络组织。将通过评估安全性和能源效率来分析拟议研究的绩效。本研究的广泛影响涵盖从硬件实现到算法开发到促进研究生和本科生的参与。所提出的研究将极大地改进传感器网络安全特性的设计和实现。在这项研究中获得的知识将通过相关课程的项目和讲座传递给研究生和本科生。研究生和本科生将参与拟议研究的各个方面。ppi指导来自代表性不足的群体和女性的研究生，并积极招募，留住他们，并使他们毕业，并将在未来继续这样做。

Sensor networks are fundamentally resource-constrained in terms of size, battery, cost, and infrastructure, but are attractive for a wide variety of applications such as battlefield surveillance, environmental monitoring, emergency response to name a few. Providing secure communication is a challenge in deploying these networks. Current techniques implement security mechanisms independent of the energy levels at the nodes, potentially deplete energy at the nodes, create network partitions, and shorten network lifetime. Hardware implementations for cryptographic algorithms have been proposed to reduce computational load in these networks. This research focuses on secure communication for sensor networks that is also energy-efficient.The intellectual merit of the proposed research is to incorporate energy-efficient and secure schemes in combination with FPGA hardware implementations specific to sensor networks, the first attempt of its kind, and quantitatively measure the impact of the encryption/decryption on both security and energy consumption. The investigator team has knowledge and expertise of both hardware implementation and sensor network technology. This research has two major thrusts: (i) FPGA encryption/decryption implementation and (ii) network organization to support the FPGA security mechanism and improve energy-efficiency. The performance of the proposed research will be analyzed by evaluating the security and energy-efficiency.The broader impacts of this research spans from hardware implementations through algorithm development to promoting participation of graduate and undergraduate students. The proposed research will greatly improve the design and implementation of security features of sensor networks. Knowledge acquired in this research will be transmitted to students at graduate and undergraduate level by incorporating as projects and lectures in relevant courses. Graduate and undergraduate students will be involved in various aspects of proposed research. The PIs mentor graduate students from underrepresented groups and women and actively recruit, retain, and graduate them and will continue this in the future.