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Related Concept Videos

Second Order systems II01:18

Second Order systems II

394
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
394
First Order Systems01:21

First Order Systems

411
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
411
Second Order systems I01:20

Second Order systems I

580
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
580
Classification of Systems-I01:26

Classification of Systems-I

554
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
554
Classification of Systems-II01:31

Classification of Systems-II

462
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
462
Mechanical Systems01:22

Mechanical Systems

606
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
606

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Anomaly Detection Module for Network Traffic Monitoring in Public Institutions.

Sensors (Basel, Switzerland)·2023
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Vulnerability Assessment of Sensor Systems.

Andrzej Bialas1

  • 1ŁUKASIEWICZ Research Network-Institute of Innovative Technologies EMAG, 40-189 Katowice, Leopolda 31, Poland. Andrzej.Bialas@ibemag.pl.

Sensors (Basel, Switzerland)
|June 5, 2019
PubMed
Summary
This summary is machine-generated.

A new method enhances sensor security by applying ISO/IEC 15408 Common Criteria. This approach structures vulnerability assessment, creating knowledge bases for improved security assurance in critical sensor systems.

Keywords:
Common CriteriaIT security evaluationintelligent sensorsecurity assurancevulnerability assessment

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Area of Science:

  • Computer Science
  • Information Security
  • Sensor Technology

Background:

  • Increasing complexity and critical applications of sensor systems necessitate robust security measures.
  • Current sensor security methodologies and facilities lag behind those of other information technology (IT) products.
  • A systematic approach to sensor IT security, including risk management and vulnerability assessment, is crucial.

Purpose of the Study:

  • To propose and develop a methodical approach for enhancing sensor IT security assurance.
  • To adapt the ISO/IEC 15408 Common Criteria methodology for specific sensor security challenges.
  • To create a structured vulnerability assessment process for sensors.

Main Methods:

  • Application of the ISO/IEC 15408 Common Criteria security assurance methodology.
  • Development of a novel Common Criteria-compliant method for structured vulnerability assessment.
  • Modeling input/output data of evaluation processes as ontology classes to build knowledge bases.

Main Results:

  • A validated method for acquiring and utilizing sensor-specific knowledge during vulnerability assessment.
  • Demonstration that sensor-specific knowledge can be effectively integrated into knowledge bases.
  • The developed method is applicable to various IT products, particularly those with limited existing certifications.

Conclusions:

  • The proposed methodology provides a structured and effective approach to sensor IT security.
  • Leveraging Common Criteria principles and ontology modeling enhances vulnerability assessment for sensors.
  • The method offers a pathway for improving security assurance in sensor systems and other IT products.