Publication:
Malware Classification For Cyber Physical System (CPS) Based On Phylogenetics

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dc.contributor.authorMadihah Mohd Saudi ,en_US
dc.contributor.authorSazali Sukardi,en_US
dc.contributor.authorNoor Azwa Azreen Abd Aziz,en_US
dc.contributor.authorAzuan Ahmaden_US
dc.contributor.authorMuhammad ‘Afif Husainiameren_US
dc.date.accessioned2024-05-28T03:47:04Z
dc.date.available2024-05-28T03:47:04Z
dc.date.issued2019
dc.date.submitted18/2/2020
dc.descriptionInternational Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9, Issue-1, October 2019en_US
dc.description.abstractNowadays, the sectors most commonly targeted by malwares across the world are manufacturing, oil and gas, and education. Malwares such as BlackEnergy2 and Triton have the ability to cause severe, life-threatening damages to an organization and critical infrastructure systems such as oil and gas. Security researchers and practitioners are looking for efficient solutions to mitigate such malware attacks. Therefore, this paper presents a malware cyber physical system (CPS) classification to detect attacks. This classification is inspired by phylogenetics, borrowed from the biological area in terms of evolutionary relationships among biological organisms. As for the cyber security perspective, it discovers the evolution ancestry of malware genes. This malware classification approach includes malware behavior, mode of attack and connected assets in the network. It can detect numerous forms of malware attacks based on correlation. The research is beneficial for CPS developers, suppliers and contractors, government agencies which regulate and govern utility operations, and the National Cyber Security Azuan Ahmad, Fig. 1 Malwares Attack to CPS from 2003 until 2017 Center (NCSC) which is responsible for protecting CPS. Keywords: Cyber Physical System (CPS); Malware Attacks; Malware Classification; Phylogeneticen_US
dc.identifier.doi10.35940/ijeat.A2711.109119
dc.identifier.epage3670
dc.identifier.issn2249-8958
dc.identifier.issue1
dc.identifier.other2248-11
dc.identifier.spage3666
dc.identifier.urichrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/viewer.html?pdfurl=https%3A%2F%2Fwww.ijeat.org%2Fwp-content%2Fuploads%2Fpapers%2Fv9i1%2FA2711109119.pdf&clen=500797&chunk=true
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/5067
dc.identifier.volume9
dc.language.isoenen_US
dc.publisherBlue Eyes Intelligence Engineering & Sciences Publicationen_US
dc.relation.ispartofInternational Journal of Engineering and Advanced Technologyen_US
dc.subjectCyber Physical System (CPS);en_US
dc.subjectMalware Attacks;en_US
dc.subjectMalware Classification;en_US
dc.subjectPhylogeneticen_US
dc.titleMalware Classification For Cyber Physical System (CPS) Based On Phylogeneticsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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