Evolutionary Algorithms in Web Security: Exploring Untapped Potential

Sam Attwood, Wanpeng Li, Rupak Kharel

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

Abstract

Many aspects of our lives are dependent upon the Web. Research that considers how we can better protect the Web and the products and services delivered using it-that is research into Web Security-is therefore of the upmost importance. Consequently, this paper considers evolutionary algorithms and their potential (which is to tap into and harness the power of natural evolution) within the field of Web Security. The paper provides a concise overview of existing studies that have used evolutionary algorithms as a tool within Web Security. More specifically, the paper considers the manner in which evolutionary algorithms have been applied, the types of problems that they have been applied to, and the way in which they have been assessed or evaluated. Furthermore, an opportunity to better harness the power of natural evolution within the field of Web Security, by applying modern evolutionary algorithms that draw inspiration from the open-ended aspect of natural evolution, is highlighted and discussed.
Original languageEnglish
Title of host publication12th International Symposium on Communication Systems, Networks and Digital Signal Processing
PublisherIEEE Explore
Number of pages6
ISBN (Electronic)978-1-7281-6743-5
ISBN (Print)978-1-7281-6051-1
DOIs
Publication statusPublished - 10 Nov 2020
Externally publishedYes

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