Dronecrypt - An Efficient Cryptographic Framework for Small Aerial Drones
Dronecrypt - An Efficient Cryptographic Framework for Small Aerial Drones
复制标题
DOI：
10.1109/milcom.2018.8599784
复制
发表时间：
2018-10
期刊：
影响因子：
--
通讯作者：
Muslum Ozgur Ozmen;A. Yavuz
中科院分区：
文献类型：
--
作者：
Muslum Ozgur Ozmen;A. Yavuz
空中无人机正在成为应用领域不可或缺的一部分，包括但不限于军事行动、包裹递送、建筑、监控和搜索/救援行动。确保这些应用中联网无人机系统的网络安全至关重要。可部署标准密码服务，提供基础安全服务；然而，事实证明它们在能源和时间消耗方面效率低下，特别是对于处理器资源有限的小型无人机而言。因此，迫切需要一种能够满足小型无人机需求的高效密码框架。我们为小型无人机提出了一种改进的加密框架，与标准加密技术相比，它具有显着的能源效率和速度优势。 (i) 我们（据我们所知）为小型空中无人机创建了第一个基于优化公钥基础设施（PKI）的框架，该框架通过利用特殊的预计算方法和优化的椭圆曲线提供节能技术。 (ii) 我们还将最新的轻量级对称原语集成到我们的 PKI 技术中，以提供成熟的加密框架。 (iii) 我们在实际的小型无人机（Crazyflie 2.0）上实施了标准对应物和我们提出的技术，并提供了深入的能量分析。我们的实验表明，我们改进的加密框架的能耗比标准框架低 $\mathit{35}\times$。
Aerial drones are becoming an integral part of application domains including but not limited to, military operations, package delivery, construction, monitoring and search/rescue operations. It is critical to ensure the cyber security of networked aerial drone systems in these applications. Standard cryptographic services can be deployed to provide basic security services; however, they have been shown to be inefficient in terms of energy and time consumption, especially for small aerial drones with resource-limited processors. Therefore, there is a significant need for an efficient cryptographic framework that can meet the requirements of small aerial drones. We propose an improved cryptographic framework for small aerial drones, which offers significant energy efficiency and speed advantages over standard cryptographic techniques. (i) We create (to the best of our knowledge) the first optimized public key infrastructure (PKI) based framework for small aerial drones, which provides energy efficient techniques by harnessing special precomputation methods and optimized elliptic curves. (ii) We also integrate recent light-weight symmetric primitives into our PKI techniques to provide a full-fledged cryptographic framework. (iii) We implemented standard counterparts and our proposed techniques on an actual small aerial drone (Crazyflie 2.0), and provided an in-depth energy analysis. Our experiments showed that our improved cryptographic framework achieves up to $\mathit{35}\times$ lower energy consumption than its standard counterpart.