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Consciousness of Cyber Defense: Boundary Objects for Expansive Learning Through Creation of Contradictions

机译:网络防御的意识:通过产生矛盾来扩展学习的边界对象

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Cyber attackers gain access into systems, networks and cybcrin-frastructure by escalating privileges to confidential information regardless of the efforts systems engineers put into security. The chess game between cyber offense and defense destabilizes the ability of organizations to protect their information assets. This research employs the lens of Activity Theory to study the interaction through the contradictions embedded between the cyber attackers and cyber defenders. These types of contradictions were forcefully created and simulated in the cyber security virtual lab at Florida State University for the purpose of facilitating real-world scenario-based learning experiences. Both network traffic data and interviews were collected in order to identify the boundary objects that intersect the two activity systems. Natural language processing (NLP) was adopted to explore and extract topics frequently used by both activity systems. Consciousness of cyber defense was expanded by creating contradictions, and boundary objects were identified by comparing the interactions between these two activity systems.
机译:网络攻击者可以通过将特权升级为机密信息来访问系统,网络和cybcrin基础结构,而无需考虑系统工程师在安全性上付出的努力。网络攻防之间的象棋游戏破坏了组织保护其信息资产的能力。本研究采用活动理论的视角,通过网络攻击者与网络防御者之间的矛盾来研究相互作用。此类矛盾是在佛罗里达州立大学的网络安全虚拟实验室中强力创建和模拟的,目的是促进现实世界中基于场景的学习体验。收集了网络流量数据和访谈,以识别与两个活动系统相交的边界对象。采用自然语言处理(NLP)来探索和提取两个活动系统经常使用的主题。通过创建矛盾来扩大网络防御的意识,并通过比较这两个活动系统之间的相互作用来识别边界对象。

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