Machine Learning for Cyber Security

Book Description

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.

中文：

书名：网络安全中的机器学习

没有数学，没有科学是不可能存在的。这尤其适用于高度依赖数学和数学工具应用的工程科学，如优化技术、有限元方法、微分方程、流体力学、数学建模和模拟。如果没有数学应用程序的发展，就不可能进行工程上的优化，也不可能实现安全关键系统和系统安全的性能；也不可能进行高保证的软件体系结构和设计。

德格鲁伊特系列：数学在工程和信息科学中的应用它(AMEIS)专注于只有使用数学方法才能实现的工程和信息技术的最新应用。通过识别工程应用知识的差距，AMEIS系列促进了科学之间的国际交流，并使读者了解最新的发展。