社交机器人与网络空间感知的挑战
Socialbots and the Challenges of Cyberspace Awareness
AI总结：
本文将网络空间感知概念化为含句法、语义和操作维度的社会技术现象，分析社交自动化威胁下各维度的压力源与治理挑战。
摘要：
随着安全界为新兴的基于社交自动化的威胁做好准备，我们考察了在网络空间中发展态势感知的机制，以及 socialbots（社交机器人）给这一现有网络态势感知范式带来的治理问题。我们指出，一个组织在网络空间中的态势感知是一种根本上不同于态势感知最初概念的现象，它需要持续的数据交换和知识管理；鉴于恶意社交自动化等威胁，其中的标准实施机制需要重大的政策关注。我们将 Cyberspace Awareness（网络空间感知）概念化为一种社会技术现象，具有句法、语义和操作三个维度——每个维度都受到若干压力源的影响，而在基于社交自动化的威胁下这些压力源会进一步加剧。本文为网络空间中的态势感知思想作出贡献，并刻画了其中围绕应对日益社会化且往往无处不在的网络威胁环境中的自动化所面临的挑战。
英文摘要：
As security communities brace for the emerging social automation based threats, we examine the mechanisms of developing situation awareness in cyberspace and the governance issues that socialbots bring into this existing paradigm of cyber situation awareness. We point out that an organisation's situation awareness in cyberspace is a phenomena fundamentally distinct from the original conception of situation awareness, requiring continuous data exchange and knowledge management where the standard implementation mechanisms require significant policy attention in light of threats like malicious social automation. We conceptualise Cyberspace Awareness as a socio-technical phenomena with Syntactic, Semantic, and Operatic dimensions - each subject to a number of stressors which are exacerbated under social automation based threats. The paper contributes to the ideas of situational awareness in cyberspace, and characterises the challenges therein around tackling the increasingly social and often pervasive, automation in cyber threat environments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
