动态贝叶斯网络,诱导和数据嵌入用于安全环境
1Department of Statistics, University of Warwick, Coventry CV4 7AL, UK.
Entropy (Basel, Switzerland)
|November 27, 2024
概括
这项研究引入了严重犯罪建模的安全协议,使警方能够使用学术模型与机密数据进行实时决策支持. 它通过将正在进行的事件与犯罪情节模型图书馆相匹配来解决数据稀缺问题.
科学领域:
- 计算犯罪学是指计算机犯罪学.
- 人工智能在执法部门中的作用
- 关于安全的正式方法.
背景情况:
- 严重犯罪模型需要安全的环境,限制学术人员对警察数据的访问.
- 实时决策受到执法机构可用的稀少和机密数据的阻碍.
- 现有的模型往往无法结合敏感的,实时的警察情报.
研究的目的:
- 为警察使用制定一个正式的协议,以安全地翻译学术犯罪模型.
- 能够创建模型库,用于实时识别犯罪情节.
- 在安全,敏感的环境中解决数据缺失的挑战.
主要方法:
- 使用图形模型进行安全翻译的正式协议的开发.
- 创建一个框架,用于建立和利用犯罪情节模型图书馆.
- 在警察模型库中插图嵌入车辆攻击场景.
主要成果:
- 开发了一个安全的协议,用于将学术基础模型转换为警察装饰模型.
- 构建和使用模型库的首次演示,用于安全环境中的实时决策支持.
- 成功展示了将新的犯罪情节类型 (例如,车辆攻击) 整合到图书馆中.
结论:
- 该协议确保敏感的警察数据保持安全,同时允许正式整合开源数据.
- 模型库通过将正在进行的事件与已知的模式相匹配来促进实时决策支持.
- 这种方法通过安全,数据驱动的建模,提高了警方在应对严重犯罪方面的能力.
相关概念视频
Multi-input and Multi-variable systems
96
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
96
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
58
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
58
Data Collection by Experiments
23.9K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
An example of the experimental method is a public...
23.9K
Behavioral Genetics and Its Designs
329
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
329
Econometric Views (EViews)
117
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
117
Randomized Experiments
6.7K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
6.7K


