Randomness of physiological signals in generation cryptographic key for secure communication between implantable medical devices inside the body and the outside world

Chizari, Hassan; Lupu, Emil; Thomas, Paula

doi:10.1049/cp.2018.0027

Cited by 1 publication

(1 citation statement)

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“…Previous review papers in this area are becoming dated [1,7,8] and new advancements in this field have been published [9,10] which may not have been covered by historical reviews. Additionally, previous review papers have tended to cover a smaller set of algorithms that are particularly applicable to the papers problem-area.…”

Section: Introductionmentioning

confidence: 99%

Review and Classification of Bio-inspired Algorithms and Their Applications

et al. 2020

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Scientists have long looked to nature and biology in order to understand and model solutions for complex real-world problems. The study of bionics bridges the functions, biological structures and functions and organizational principles found in nature with our modern technologies, numerous mathematical and metaheuristic algorithms have been developed along with the knowledge transferring process from the life forms to the human technologies. Output of bionics study includes not only physical products, but also various optimization computation methods that can be applied in different areas. Related algorithms can broadly be divided into four groups: (1)evolutionary based bio-inspired algorithms, (2) swarm intelligencebased bioinspired algorithms, (3) ecology-based bio-inspired algorithms and (4) multi-objective bioinspired algorithms. Bio-inspired algorithms such as neural network, ant colony algorithms, particle swarm optimization and others have been applied in almost every area of science, engineering and business management with a dramatic increase of number of relevant publications. This paper provides a systematic, pragmatic and comprehensive review of the latest developments in Evolutionary based Bio-

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Section: Introductionmentioning

confidence: 99%