Fuzzy bacterial foraging system and its applications in control of servo motors

Lin, Yu‐Sheng; Leu, Yih-Guang; Lu, Wei-Cheng

doi:10.1109/ifuzzy.2012.6409701

2012 International Conference on Fuzzy Theory and Its Applications (iFUZZY2012) 2012

DOI: 10.1109/ifuzzy.2012.6409701

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Fuzzy bacterial foraging system and its applications in control of servo motors

Yu‐Sheng Lin

Yih-Guang Leu

Wei-Cheng Lu

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2020

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Nature-Inspired Techniques for Data Security in Big Data

Sekhar¹,

Siddesh²,

Anand³

et al. 2020

Security, Privacy, and Forensics Issues in Big Data

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Inspired computing is based on biomimcry of natural occurrences. It is a discipline in which problems are solved using computer models which derive their abstractions from real-world living organisms and their social behavior. It is a branch of machine learning that is very closely related to artificial intelligence. This form of computing can be effectively used for data security, feature extraction, etc. It can easily be integrated with different areas such as big data, IoT, cloud computing, edge computing, and fog computing for data security. The chapter discusses some of the most popular biologically-inspired computation algorithms which can be used to create secured framework for data security in big data like ant colony optimization, artificial bee colony, bacterial foraging optimization to name a few. Explanation of these algorithms and scope of its application are given. Furthermore, case studies are presented to help the reader understand the application of these techniques for security in big data.

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Nature-Inspired Techniques for Data Security in Big Data

Sekhar¹,

Siddesh²,

Anand³

et al. 2020

Security, Privacy, and Forensics Issues in Big Data

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Fuzzy bacterial foraging system and its applications in control of servo motors

Cited by 1 publication

References 14 publications

Nature-Inspired Techniques for Data Security in Big Data

Nature-Inspired Techniques for Data Security in Big Data

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