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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

330
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
330
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

346
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
346
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

315
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
315
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

462
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
462
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

378
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
378
Understanding Deception01:14

Understanding Deception

151
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
151

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针对基于SVM的GPS伪造检测系统的对抗性逃避攻击.

Sunghyeon An1, Dong Joon Jang1, Eun-Kyu Lee1

  • 1Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Republic of Korea.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

智能对手可以利用基于机器学习的GPS伪造检测系统中的漏洞. 新的逃避策略在绕过这些防御方面取得了显著的成功,突出显示了自动驾驶汽车需要提高对抗性强度的需求.

科学领域:

  • 网络安全 网络安全
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 全球定位系统 (GPS) 伪造对自动驾驶汽车构成重大威胁.
  • 机器学习模型,如支持向量机 (SVM),通常用于GPS伪造检测.
  • 这些检测系统对复杂的敌对攻击的稳定性尚未得到充分理解.

研究的目的:

  • 调查基于SVM的GPS伪造检测模型对智能对手的脆弱性.
  • 为敌对GPS信号开发新的逃避策略.
  • 评估这些策略在绕过SVM探测器方面的有效性.

主要方法:

  • 基于SVM的GPS伪造检测模型的决策边界的分析.
  • 开发数据位置转移攻击和基于相似性的噪音攻击.
  • 在CARLA自动驾驶环境中模拟逃避策略.

主要成果:

  • 一个适度的位置转移攻击将检测准确度从99.9%降低到20.4%.
  • 基于相似性的噪音攻击在很大程度上逃避了检测,同时降低了性能.
  • 在相似性和转移之间观察到非线性取消效应,表明可检测性-影响权衡.
关键词:
在GPS中伪造GPS伪造.具有对抗性的机器学习.攻击 攻击 攻击互联互通的自动驾驶汽车安全的安全的安全的安全的安全.伪造检测 伪造检测支持矢量机器的支持矢量机器.

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结论:

  • 基于SVM的GPS伪造检测系统容易受到新型逃避攻击.
  • 现有的防御可能无法对抗聪明的对手.
  • 增强的对抗性稳定性对于基于机器学习的车辆系统中的伪造检测至关重要.