e-space
Manchester Metropolitan University's Research Repository

    Evolutionary Algorithms in Web Security: Exploring Untapped Potential

    Attwood, Sam ORCID logoORCID: https://orcid.org/0000-0001-8140-6157, Li, Wanpeng and Kharel, Rupak ORCID logoORCID: https://orcid.org/0000-0002-8632-7439 (2020) Evolutionary Algorithms in Web Security: Exploring Untapped Potential. In: 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing- CSNDSP 2020, 20 July 2020 - 22 July 2020, Porto, Portugal.

    [img]
    Preview
    Accepted Version
    Download (319kB) | Preview

    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.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    230Downloads
    6 month trend
    59Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record