Smart Moving Target Defense for Linux Container Resiliency

M. Azab, B. Mokhtar, A. S. Abed, M. Eltoweissy
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引用次数: 12

Abstract

Nature is a major source of inspiration for many of the inventions that we rely on to maintain our daily lifestyle. In this paper, we present ESCAPE, an evolved version of our nature-inspired game-like informed moving-target-defense mechanism for cloud containers resiliency. ESCAPE rely on a novel container mobilization framework controlled by a smart attack maneuvering module. That module drives the running containers based on real-time models of the interaction between attackers and their targets as a "predator searching for a prey" search game. ESCAPE employs run-time live-migration of Linux-containers {prey} to avoid attacks (predator) and failures. The entire process is guided by a novel host-based behavior-monitoring system that seamlessly monitors containers for indications of intrusions and attacks. To evaluate the effect of ESCAPE's container live-migration evading attacks, we extensively simulated the attack avoidance process based on a mathematical model mimicking the prey-vs-predator search game. With ESCAPE's live-migrations, results show high container survival probabilities with minimal added overhead.
Linux容器弹性的智能移动目标防御
大自然是我们赖以维持日常生活方式的许多发明的主要灵感来源。在本文中,我们提出了ESCAPE,这是我们基于自然启发的游戏式知情移动目标防御机制的进化版本,用于云容器弹性。ESCAPE依赖于一种由智能攻击机动模块控制的新型集装箱动员框架。该模块根据攻击者和目标之间的实时交互模型驱动运行的容器,就像一个“捕食者寻找猎物”的搜索游戏。ESCAPE使用linux容器{猎物}的运行时实时迁移来避免攻击(捕食者)和失败。整个过程由一个新颖的基于主机的行为监控系统指导,该系统可以无缝地监控容器的入侵和攻击迹象。为了评估ESCAPE的容器实时迁移躲避攻击的效果,我们基于模拟猎物对捕食者搜索博弈的数学模型,对攻击躲避过程进行了广泛的模拟。使用ESCAPE的实时迁移,结果显示容器生存概率高,增加的开销最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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