Bio-Inspired Cyber Security for Communications and Networking
Wojciech Mazurczyk , Sean Moore , Erin W. Fulp , Hiroshi Wada , Kenji Leibnitz
AbstractNature is Earth's most amazing invention machine for solving problems and adapting to significant environmental changes. Its ability to address complex, large-scale problems with robust, adaptable, and efficient solutions results from many years of selection, genetic drift, and mutations. Thus, it is not surprising that inventors and researchers often look to natural systems for inspiration and methods to solve problems in human-created artificial environments. This has resulted in the development of evolutionary algorithms including genetic algorithms and swarm algorithms, and of classifier and pattern detection algorithms, such as neural networks, for addressing hard computational problems.
|Journal series||IEEE Communications Magazine, ISSN 0163-6804|
|Publication size in sheets||0.3|
|Keywords in English||Special issues and sections, Biological system modeling, Machine learning, Communication networks, Wireless sensor networks, Particle swarm optimization, Computer security|
|ASJC Classification||; ;|
|Project||The Develpment of Digital Communicatios. Project leader: Siuzdak Jerzy,
, Phone: +48 22 234-7868, start date 27-04-2015, end date 31-12-2016, IT/2015/statut, Completed
|Score|| = 45.0, 02-02-2020, ArticleFromJournal|
= 45.0, 02-02-2020, ArticleFromJournal
|Publication indicators||= 0; = 2; : 2016 = 4.768; : 2016 = 10.435 (2) - 2016=9.119 (5)|
|Citation count*||2 (2020-08-07)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.