Trojan Attack on the Initialization of Pseudo-Random Bit Generators Using Synchronization of Chaotic Input Sources

Melosik, Michał; Marszałek, Wiesław

doi:10.1109/access.2021.3131969

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…Overall, the designed system can also be further expanded and adapted for the teaching of integrated filters [26] and analog circuits with complex oscillations [27] as well as the testing and analyzing of circuits with hardware Trojans [28].…”

Section: Discussionmentioning

confidence: 99%

Remote Prototyping of FPGA-Based Devices in the IoT Concept during the COVID-19 Pandemic

et al. 2022

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This paper presents a system for the remote design and testing of electronic circuits and devices with FPGAs during COVID-19 and similar lockdown periods when physical access to laboratories is not permitted. The system is based on the application of the IoT concept, in which the final device is a test board with an FPGA chip. The system allows for remote visual inspection of the board and the devices linked to it in the laboratory. The system was developed for remote learning taking place during the lockdown periods at Poznan University of Technology (PUT) in Poland. The functionality of the system is confirmed by two demonstration tasks (the use of the temperature and humidity DHT11 sensor and the design of a generator of sinusoidal waveforms) for students in the fundamentals of digital design and synthesis courses. The proposed solution allows, in part, to bypass the time-consuming simulations, and accelerate the process of prototyping digital circuits by remotely accessing the infrastructure of the microelectronics laboratory.

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Section: Discussionmentioning

confidence: 99%

Remote Prototyping of FPGA-Based Devices in the IoT Concept during the COVID-19 Pandemic

et al. 2022

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“…Another important issue for all DRBGs is the threat from hardware Trojans implemented at the design stage of integrated electronics. The user must be sure that the entropy sources have not been deliberately designed to deliver values that are fixed and known by the attacker [17,20,55]. The approach proposed in wearable CSPRBG is a partial response to such threats.…”

Section: Future Development Of Wearable Csprbg Platformmentioning

confidence: 99%

“…Using the same value repeatedly in the process of initializing pseudo-random algorithms raises risks for attacks that affect DRBG (Deterministic Random Bit Generator) initialization [9]. Despite the knowledge of these standards, it is still challenging to provide multiple efficient and attack-resistant entropy sources in the design process of random generators [10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Cryptographically Secure PseudoRandom Bit Generator for Wearable Technology

Melosik,

Galan,

Naumowicz

et al. 2023

Entropy

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This paper presents a prototype wearable Cryptographically Secure PseudoRandom Bit Generator CSPRBG (wearable CSPRBG). A vest prototype has been fabricated to which an evaluation board with a ZYBO (ZYnq BOard) Zynq Z-7010 has been mounted using tailoring technology. In this system, a seed generator and block cryptographic algorithms responsible for the generation of pseudo-random values were implemented. A microphone and an accelerometer recorded sound and acceleration during the use of the prototype vest, and these recordings were passed to the seed generator and used as entropy sources. Hardware implementations were made for several selected Block Cryptographic algorithms such as Advanced Encryption Standard (AES), Twofish and 3DES. The random binary values generated by the wearable CSPRBG were analyzed by National Institute of Standards and Technology (NIST) statistical tests as well as ENT tests to evaluate their randomness, depending on the configuration of the entropy sources used. The idea of possible development of the wearable CSPRBG as a System on Chip (SoC) solution is also presented.

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“…Such a generator will output sequences that have already been generated before. This and other related issues are discussed in [22].…”

Section: Sequence Sourcementioning

confidence: 99%

Strengthening Quality of Chaotic Bit Sequences

Melosik

Marszałek

2022

Electronics

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We discuss chaos and its quality as measured through the 0-1 test for chaos. When the 0-1 test indicates deteriorating quality of chaos, because of the finite precision representations of real numbers in digital implementations, then the process may eventually lead to a periodic sequence. A simple method for improving the quality of a chaotic signal is to mix the signal with another signal by using the XOR operation. In this paper, such mixing of weak chaotic signals is considered, yielding new signals with improved quality (with K values from the 0-1 test close to 1). In some sense, such a mixing of signals could be considered as a two-layer prevention strategy to maintain chaos. That fact may be important in those applications when the hardware resources are limited. The 0-1 test is used to show the improved chaotic behavior in the case when a continuous signal (for example, from the Chua, Rössler or Lorenz system) intermingles with a discrete signal (for example, from the logistic, Tinkerbell or Henon map). The analysis is presented for chaotic bit sequences. Our approach can further lead to hardware applications, and possibly, to improvements in the design of chaotic bit generators. Several illustrative examples are included.

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Trojan Attack on the Initialization of Pseudo-Random Bit Generators Using Synchronization of Chaotic Input Sources

Cited by 5 publications

References 22 publications

Remote Prototyping of FPGA-Based Devices in the IoT Concept during the COVID-19 Pandemic

Remote Prototyping of FPGA-Based Devices in the IoT Concept during the COVID-19 Pandemic

Cryptographically Secure PseudoRandom Bit Generator for Wearable Technology

Strengthening Quality of Chaotic Bit Sequences

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