A flexible and stretchable bionic true random number generator

Wan, Yongbiao; Chen, Kun; Huang, Feng; Wang, Pidong; Leng, Xiao Xu; Liu, Dong; Kang, Jian; Qiu, Zhiguang; Yao, Yao

doi:10.1007/s12274-022-4109-9

Cited by 7 publications

(3 citation statements)

References 48 publications

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“…Compared to other channel security models, the proposed WIHFM creates complex random honeypot trap possibilities uniquely [ 63 ]. Consequently, malicious events are widely trapped under IHFs.…”

Section: Resultsmentioning

confidence: 99%

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Rajasoundaran

Maheswar

Muthuramalingam

et al. 2022

Sensors

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The Wireless Medium Access Control (WMAC) protocol functions by handling various data frames in order to forward them to neighbor sensor nodes. Under this circumstance, WMAC policies need secure data communication rules and intrusion detection procedures to safeguard the data from attackers. The existing secure Medium Access Control (MAC) policies provide expected and predictable practices against channel attackers. These security policies can be easily breached by any intelligent attacks or malicious actions. The proposed Wireless Interleaved Honeypot-Framing Model (WIHFM) newly implements distributed honeypot-based security mechanisms in each sensor node to act reactively against various attackers. The proposed WIHFM creates an optimal Wireless Sensor Network (WSN) channel model, Wireless Interleaved Honeypot Frames (WIHFs), secure hash-based random frame-interleaving principles, node-centric honeypot engines, and channel-covering techniques. Compared to various existing MAC security policies, the proposed model transforms unpredictable IHFs into legitimate frame sequences against channel attackers. Additionally, introducing WIHFs is a new-fangled approach for distributed WSNs. The successful development of the proposed WIHFM ensures resilient security standards and neighbor-based intrusion alert procedures for protecting MAC frames. Particularly, the proposed wireless honeypot methodology creates a novel idea of using honeypot frame traps against open wireless channel attacks. The development of a novel wireless honeypot traps deals with various challenges such as distributed honeypot management principles (node-centric honeypot, secretly interleaved-framing principles, and interleaving/de-interleaving procedures), dynamic network backbone management principles (On Demand Acyclic Connectivity model), and distributed attack isolation policies. This effort provides an effective wireless attack-trapping solution in dynamic WSNs. The simulation results show the advantage of the proposed WIHFM over the existing techniques such as Secure Zebra MAC (SZ-MAC), Blockchain-Assisted Secure-Routing Mechanism (BASR), and the Trust-Based Node Evaluation (TBNE) procedure. The experimental section confirms the proposed model attains a 10% to 14% superior performance compared to the existing techniques.

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Section: Resultsmentioning

confidence: 99%

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Rajasoundaran

Maheswar

Muthuramalingam

et al. 2022

Sensors

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“…Trending rapid advances of the Internet of Things, big data, and artificial intelligence, the realm of flexible electronics has unveiled promising market prospects [1][2][3][4][5][6][7][8][9][10]. As an important part of flexible electronics, flexible pressure sensor assumes a pivotal role by emulating the characteristics of human skin, adeptly converting external physical stimuli into recordable or measurable electrical signals-an embodiment commonly referred to as electronic skin or tactile sensor.…”

Section: Introductionmentioning

confidence: 99%

A tutorial of characterization methods on flexible pressure sensors: fundamental and applications

Wan,

Qiu,

Yuan

et al. 2023

J. Phys. D: Appl. Phys.

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Flexible pressure sensors that respond to normal contact force, play a pivotal role in a wide range of applications, such as health monitoring, robotic perception and artificial intelligence. With the increasing demand for specialized and high-performance pressure sensors, the key parameters of these sensors, including sensitivity, detection range, linearity, response time, and cyclic stability, etc, have become crucial factors in determining their suitability for specific applications. The characterization of these key parameters has therefore become an essential step in the overall research process. In this paper, we provide a comprehensive tutorial on the characterization methods for flexible pressure sensors. Sections 1 and 2 provide a brief introduction to the research motivation and sensing mechanism, respectively. In section 3, we systematically discuss the fundamental of characterization methods on flexible pressure sensors, covering study facilities and characterization methods for assessing basic performances and analyzing device mechanism. Furthermore, in section 4, we present approaches for evaluating the application potential of flexible pressure sensors. Lastly, we address critical challenges and offer perspectives on the advancement and characterization methods of flexible pressure sensors. Our aim is to provide a valuable tutorial guideline that assists researchers, particularly beginners, in establishing their experimental facilities and study platforms, while enabling them to effectively characterize the performance of flexible pressure sensors.

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“…They are found in many scenarios, such as gambling activities, welfare lottery, and so on. Furthermore, in the increasingly open Internet environment, the method of generating random numbers has become an important research direction in the areas of computer science [1][2][3]. Then, the security of random numbers is getting more attention.…”

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confidence: 99%

BCsRNG: A Secure Random Number Generator Based on Blockchain

et al. 2022

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Random numbers are widely used in numerical computing, statistical simulation, random sampling, etc. At present, the mechanism for generating random numbers by computers is at risk of being attacked. In some cases, generated random numbers may be predicted. However, current RNGs used in blockchain are not sufficient enough to handle attacks. Therefore, it is necessary to improve the security of random numbers. This paper improves the random number generator and designs a secure random number generator based on blockchain (BCsRNG). In practice, an encapsulated function algorithm of the secure random number is developed with the smart contract. Moreover, an API is provided to facilitate input and output. The experimental results show that the random numbers generated by BCsRNG are difficult to decipher and have higher randomness and security.INDEX TERMS Random number, Blockchain, Smart contract, Security, Random number generator I. INTRODUCTION

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A flexible and stretchable bionic true random number generator

Cited by 7 publications

References 48 publications

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

A tutorial of characterization methods on flexible pressure sensors: fundamental and applications

BCsRNG: A Secure Random Number Generator Based on Blockchain

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