论文标题
网络防御的欺骗：挑战和机遇
Deception for Cyber Defence: Challenges and Opportunities
论文作者
论文摘要
作为网络防御的重要工具，欺骗正在迅速发展，并补充了现有的外围安全措施，以迅速检测出漏洞和数据盗窃。限制欺骗使用的因素之一是手工生成逼真的人工制品的成本。但是，机器学习的最新进展为可扩展的，自动化的现实欺骗创造了机会。本愿景论文描述了开发模型的机遇和挑战，以模仿IT堆栈的许多共同元素以产生欺骗效果。
Deception is rapidly growing as an important tool for cyber defence, complementing existing perimeter security measures to rapidly detect breaches and data theft. One of the factors limiting the use of deception has been the cost of generating realistic artefacts by hand. Recent advances in Machine Learning have, however, created opportunities for scalable, automated generation of realistic deceptions. This vision paper describes the opportunities and challenges involved in developing models to mimic many common elements of the IT stack for deception effects.
