基于并行整体预测模型的网络威胁情报实体关系的联合提取
Huan Wang1,2,3, Shenao Zhang1,2,3, Zhe Wang1,2,3
1School of Computer Science and Technology, Guangxi University of Science and Technology, Liuzhou 545006, China.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
本研究引入了一种新的网络威胁情报 (CTI) 知识图构造的并行模型,通过克服订单依赖问题和降低注释成本来改善实体关系提取.
科学领域:
- 网络安全
- 人工智能
- 自然语言处理
背景情况:
- 知识图对于网络威胁情报 (CTI) 是至关重要的.
- 自动化实体关系提取是CTI知识图构建的关键.
- 现有的序列标记方法由于依赖顺序而难以重叠关系.
研究的目的:
- 在CTI中提出一个平行,基于集合预测的模型,用于共同的实体关系提取.
- 解决序列标记方法在处理重叠关系方面的局限性.
- 减少CTI领域标记数据的成本和稀缺性.
主要方法:
- 开发了一个联合网络,结合了变压器的双向编码器表示 (BERT) 和双向门式循环单元 (BiGRU).
- 一个整体预测模块和三元表示被设计为联合提取.
- 使用非自行回归解码器并行生成关系三元集.
- 使用ChatGPT创建了SecCti数据集以进行标记和增强,以减轻数据稀缺.
主要成果:
- 拟议的模型比联合实体关系提取的基线实现了4.6%的绝对F1改进.
- 这种并行,非自动回归的方法有效地处理了重叠的关系.
- 利用ChatGPT进行数据增强显著降低了注释成本.
结论:
- 在CTI中,并行集成预测模型提供了一个更有效的解决方案.
- 这种方法成功地解决了订单依赖问题,并改善了重叠关系的性能.
- 使用ChatGPT的数据增强策略为CTI创建标记数据集提供了一种具有成本效益的方法.
更多相关视频
相关概念视频
02:24Predicting Reaction Outcomes
8.6K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.6K
01:07End Point Prediction: Gran Plot
580
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
580
00:56Extraction: Advanced Methods
526
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
526
01:03Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
01:20Parallel Processing
224
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
224
01:27Associative Learning
569
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
569