隐蔽测量辅助的极动力学攻击使用名义模型
IEEE transactions on cybernetics
|September 23, 2024
概括
这项研究引入了一种隐形测量辅助极动力学攻击 (MAPDAs) 方法,以保持攻击隐形性,尽管模型不匹配. 这种新的方法确保了与传统方法相比的隐形性和破坏性,仅使用测量.
科学领域:
- 控制系统工程 控制系统工程
- 网络安全 网络安全
- 网络化系统 网络化系统
背景情况:
- 传统的极动力学攻击 (TPDA) 由于确切模型和名义模型之间的模型不匹配,因此隐形性降低.
- 现有的方法通常需要测量和控制输入,这限制了实际实施.
研究的目的:
- 提出一种新的隐形测量辅助极动力学攻击 (MAPDAs) 方法,可用于模拟不匹配.
- 为了增强隐形性和易于实施的极动态攻击.
主要方法:
- 开发了一种MAPDAs方法,利用适应性控制策略来保持隐形.
- 该方法只需要系统测量,与以前的技术相比,简化了实施.
- 通过多变量测量的趋同来评估性能.
主要成果:
- 提出的MAPDAs方法有效地保持了隐形性,即使在模型不匹配的情况下.
- 与TPDA相比,MAPDA的隐蔽性和破坏性都相当于TPDA.
- 实验验证在一个联网的反向摆形系统上证实了该方法的可行性.
结论:
- 在模型不匹配的情况下,新的MAPDAs方法为极动力学攻击提供了一个隐蔽和实用的解决方案.
- 这种方法通过提供强大的攻击策略来增强网络控制系统的安全性.
更多相关视频
08:24Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
Published on: August 30, 2016
10.2K
06:45Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
1.6K
相关概念视频
Pole and System Stability
258
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
258
Plotting and Calibrating the Root Locus
102
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
102
Linear Approximation in Time Domain
70
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
70
Control System Problem
110
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
110
Root-Locus Method
138
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
This system can be represented by a block...
138
Typical Model Studies
344
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
344
