Complex signal generators based on capacitors and on piezoelectric loads

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

Iftene

2014

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Abstract:We analyze the efficiency of the masking of instruction patterns using a chaotic driven clock and power supply, in front of a side attack intruding the power supply of a microsystem. The differential analysis is supposedly conducted by correlation power analysis. We demonstrate that the use of a chaotically-driven masking based on relatively simple circuits may be a significant candidate for the protection of embedded systems.

Section: The Proposed Protection Methodsmentioning

confidence: 99%

Efficiency of a Combined Protection Method against Correlation

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

Iftene

2014

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“…The application was described in [26][27][28]. The reason of using a chaotic sensor in this application was the need for very high sensitivity with a simple circuit (Fig.…”

Section: B Solution Conductimetry With a Chaotic Sensormentioning

confidence: 99%

“…The chaotic circuit for this application consists of only two operational amplifiers (OPAMP) and the electrolytic cell, see Fig. 7, and was detailed in [27], [28]. Figure 7.…”

Section: B Solution Conductimetry With a Chaotic Sensormentioning

confidence: 99%

Sensors based on nonlinear dynamic systems — A survey

2017 International Conference on Applied Electronics (AE)

2017

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Nonlinear systems able to develop chaotic dynamics have a tremendous potential in a large class of applications, because of the complexity of the behavior they exhibit and of the sensitivity of their operation to the process parameters. While these properties have been seen as disadvantages, the increased technical capabilities of mastering the operation of these systems and of analyzing their behavior have recently set free their potential. We survey the literature of sensors based on nonlinear dynamic systems and add to these sensors analysis. Theoretical foundations of the dynamics characterization are introduced and several tools for employing these fundamentals to the design of sensors are presented. Examples of sensors previously reported are reviewed and design considerations exposed.

“…For monitoring of the input parameter we used the chaotic circuit sketched in Fig. 4, which belongs to a new class of chaotic systems [31]. This circuit comprises two loops and includes three inverting amplifiers, each loop having a capacitive load that adds a pole to the circuit transfer function and contributes to the amplifier instability.…”

Section: A Complex Signal Generators Based On Capacitorsmentioning

confidence: 99%

Characterizing the attractors of chaotic systems by a direct measurement method

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

Hulea

Cojocaru

2014

Due to the high sensitivity to internal parameters, the operation of the chaotic systems may couple strongly to the ambient and are apt to detect small variations of external factors that influence the internal ones. We present details of a method and related equipment for analyzing and characterizing the behavior of chaotic systems, suited for assessing changes in the dynamics. The method essentially consists in determining the probability that the trajectory of the chaotic system is located in a specified region of the phase space. The method is based on the measurement of the time intervals spent by the trajectory in the specified phase space interval. The measuring equipment is a high precision time measuring one, based on microcontrollers. We exemplify the method by assessing the dependency of the behavior of a chaotic electronic circuit on the variation of the power supply voltage.