Hardware‐Based Encryption via Generalized Synchronization of Complex Networks

Keuninckx, Lars; Sande, Guy Van der

doi:10.1002/9781119527978.ch11

Cited by 2 publications

(2 citation statements)

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“…Furthermore, BRAIN-IoT supports many applications as a general-purpose solution and provides security and privacy protection through the set of components. Security: As considered in [48], hardware-based encryption and authentication schemes via generalized synchronization of complex networks allow researchers to improve the security of ASIC or FPGA hardware implementation. Further, the authors show that the bit-stream derived from the scheme's outputs can be used as an encryption or authentication key.…”

Section: Recent Advances and Related Workmentioning

confidence: 99%

A Survey on the Role of Complex Networks in IoT and Brain Communication

Thayananthan,

Albeshri,

A. Alamri

et al. 2023

Computers, Materials &Amp; Continua

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Complex networks on the Internet of Things (IoT) and brain communication are the main focus of this paper. The benefits of complex networks may be applicable in the future research directions of 6G, photonic, IoT, brain, etc., communication technologies. Heavy data traffic, huge capacity, minimal level of dynamic latency, etc. are some of the future requirements in 5G+ and 6G communication systems. In emerging communication, technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain communication. In this paper, the state of the complex system considered as a complex network (the connection between the brain cells, neurons, etc.) needs measurement for analyzing the functions of the neurons during brain communication. Here, we measure the state of the complex system through observability. Using 5G+/6G-based photonic sensor nodes, finding observability influenced by the concept of contraction provides the stability of neurons. When IoT or any sensors fail to measure the state of the connectivity in the 5G+ or 6G communication due to external noise and attacks, some information about the sensor nodes during the communication will be lost. Similarly, neurons considered sing the complex networks concept neuron sensors in the brain lose communication and connections. Therefore, affected sensor nodes in a contraction are equivalent to compensate for maintaining stability conditions. In this compensation, loss of observability depends on the contraction size which is a key factor for employing a complex network. To analyze the observability recovery, we can use a contraction detection algorithm with complex network properties. Our survey paper shows that contraction size will allow us to improve the performance of brain communication, stability of neurons, etc., through the clustering coefficient considered in the contraction detection algorithm. In addition, we discuss the scalability of IoT communication using 5G+/6G-based photonic technology.

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Section: Recent Advances and Related Workmentioning

confidence: 99%

A Survey on the Role of Complex Networks in IoT and Brain Communication

Thayananthan,

Albeshri,

A. Alamri

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…According to the Central Limit Theorem, the statistic χ 2 approaches to the normal distribution with mean µ = 255 and standard deviation σ, shown in Eq. (29) [52]. Taking this into account, the threshold can be calculated using the right side of the normal distribution with a significance level of α = 0.01, which is approximately 308.…”

Section: F Goodness-of-fit Testmentioning

confidence: 99%