协调网络威胁情报政治经济中的不确定性
Rebecca Slayton1, Lilly Muller2
1Cornell University, Ithaca, NY, USA.
Social studies of science
|January 10, 2025
概括
网络威胁情报 (CTI) 公司应对协调性和对抗性不确定性. 努力标准化CTI数据可以矛盾地增加来自复杂对手的风险.
科学领域:
- 科学和技术研究 (STS)
- 网络安全 网络安全
- 国际安全 国际安全
- 政治经济学就是政治经济学.
背景情况:
- 网络威胁情报 (CTI) 公司是关于全球网络威胁的知识和不确定性的关键生产者.
- 了解CTI分析师如何处理不确定性对于组织和政府来说至关重要.
- 现有的研究往往忽视了CTI中不同类型的不确定性之间的相互作用.
研究的目的:
- 阐述和分析CTI中两种不同类型的不确定性:协调性和对抗性.
- 探索这些不确定性之间的相互作用和潜在的权衡.
- 检查CTI行业的政治经济如何塑造有关网络操作的知识生产.
主要方法:
- 借鉴历史和民族学研究方法.
- 分析数字痕迹转化为可销售的CTI产品和服务的过程.
- 调查标准在CTI中的数据生产和解释中的作用.
主要成果:
- 从分布式数据流程和标准化工作中产生的"协调性不确定性".
- 证明了旨在减少协调不确定性的标准化可以无意中增加"对抗不确定性".
- 发现CTI行业的政治经济导致对美国/盟国政府网络行动的知识减少,而更多的是对手的活动.
结论:
- 在减少协调性不确定性和增加CTI中的对抗性不确定性之间存在潜在的权衡.
- 私营CTI行业的地缘政治结构影响着它产生的科学和技术知识.
- 这些发现突出了不确定性如何在技术科学的政治经济中相互作用的更广泛意义.
相关概念视频
Uncertainty: Overview
511
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
511
Propagation of Uncertainty from Systematic Error
465
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
465
Propagation of Uncertainty from Random Error
639
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
639
Uncertainty: Confidence Intervals
3.1K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
3.1K
Uncertainty in Measurement: Accuracy and Precision
73.3K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
73.3K
The Uncertainty Principle
23.1K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
23.1K


