Visible to the public A Conceptual Direction on Automatically Evolving Computer Malware using Genetic and Evolutionary Algorithms

TitleA Conceptual Direction on Automatically Evolving Computer Malware using Genetic and Evolutionary Algorithms
Publication TypeConference Paper
Year of Publication2020
AuthorsMurali, R., Velayutham, C. S.
Conference Name2020 International Conference on Inventive Computation Technologies (ICICT)
Date PublishedFeb. 2020
PublisherIEEE
ISBN Number978-1-7281-4685-0
Keywordsartificial ecosystem, artificial world, Bio-inspired computing, biologically inspired computing, BIOS, co-evolutionary predator-prey framework, computer malware, computing devices, cyber security, cyber world, Evolutionary algorithms, evolutionary computation, evolutionary computing, genetic algorithms, Human Behavior, Internet, invasive software, Mal-ware Analysis, Malware, malware creation, Metrics, Proactive Defence, pubcrawl, resilience, Resiliency, Scalability, security
Abstract

The widespread use of computing devices and the heavy dependence on the internet has evolved the cyberspace to a cyber world - something comparable to an artificial world. This paper focuses on one of the major problems of the cyber world - cyber security or more specifically computer malware. We show that computer malware is a perfect example of an artificial ecosystem with a co-evolutionary predator-prey framework. We attempt to merge the two domains of biologically inspired computing and computer malware. Under the aegis of proactive defense, this paper discusses the possibilities, challenges and opportunities in fusing evolutionary computing techniques with malware creation.

URLhttps://ieeexplore.ieee.org/document/9112509
DOI10.1109/ICICT48043.2020.9112509
Citation Keymurali_conceptual_2020