Matches in SemOpenAlex for { <https://semopenalex.org/work/W3096972150> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W3096972150 endingPage "192" @default.
- W3096972150 startingPage "180" @default.
- W3096972150 abstract "AbstractRansomware is a malware category that asks for payment usually in crypto-currency like Bitcoin after encrypting the files of infected computers. In today’s digital threat environment, the rate of ransomware infection has trended upwards to dominate the cyber threat landscape and become one of the emerging threats facing organizations and individuals. In addition to the traditional ransomware, new types have become predominant and they are called fileless ransomware. They use legitimate administration programs and turn them into a tool for fileless infection which is undetectable with traditional security solutions that are based essentially on signature-based detection. In addition to this fileless characteristic, this kind of threat can also be combined with USB-based attacks, also known as HID (Human interface device) attack. In this article, we will present a new attack vector that combines, HID attack, Networking, and fileless ransomware attack on Windows Operating System (OS) machine and then we will present a proposed solution that involves the logistic regression as a Machine learning technique to mitigate against the HID Fileless Ransomware attack.KeywordsRansomwareFileless-ransomwareSignature-based detectionHID attackMachine learningLogistic regression" @default.
- W3096972150 created "2020-11-09" @default.
- W3096972150 creator A5016930545 @default.
- W3096972150 creator A5077781407 @default.
- W3096972150 creator A5083975475 @default.
- W3096972150 date "2020-01-01" @default.
- W3096972150 modified "2023-09-26" @default.
- W3096972150 title "Proposed Solution for HID Fileless Ransomware Using Machine Learning" @default.
- W3096972150 cites W2124792617 @default.
- W3096972150 cites W2132874238 @default.
- W3096972150 cites W2150423842 @default.
- W3096972150 cites W2395100307 @default.
- W3096972150 cites W2524561453 @default.
- W3096972150 cites W2556929754 @default.
- W3096972150 cites W2581313255 @default.
- W3096972150 cites W2604573269 @default.
- W3096972150 cites W2605860169 @default.
- W3096972150 cites W2742682864 @default.
- W3096972150 cites W2753873057 @default.
- W3096972150 cites W2765944019 @default.
- W3096972150 cites W2784113120 @default.
- W3096972150 cites W2884256006 @default.
- W3096972150 cites W2933127114 @default.
- W3096972150 cites W2937349521 @default.
- W3096972150 cites W2963604227 @default.
- W3096972150 doi "https://doi.org/10.1007/978-3-030-61143-9_15" @default.
- W3096972150 hasPublicationYear "2020" @default.
- W3096972150 type Work @default.
- W3096972150 sameAs 3096972150 @default.
- W3096972150 citedByCount "0" @default.
- W3096972150 crossrefType "book-chapter" @default.
- W3096972150 hasAuthorship W3096972150A5016930545 @default.
- W3096972150 hasAuthorship W3096972150A5077781407 @default.
- W3096972150 hasAuthorship W3096972150A5083975475 @default.
- W3096972150 hasConcept C111919701 @default.
- W3096972150 hasConcept C136764020 @default.
- W3096972150 hasConcept C145097563 @default.
- W3096972150 hasConcept C2777667771 @default.
- W3096972150 hasConcept C38652104 @default.
- W3096972150 hasConcept C41008148 @default.
- W3096972150 hasConcept C541664917 @default.
- W3096972150 hasConceptScore W3096972150C111919701 @default.
- W3096972150 hasConceptScore W3096972150C136764020 @default.
- W3096972150 hasConceptScore W3096972150C145097563 @default.
- W3096972150 hasConceptScore W3096972150C2777667771 @default.
- W3096972150 hasConceptScore W3096972150C38652104 @default.
- W3096972150 hasConceptScore W3096972150C41008148 @default.
- W3096972150 hasConceptScore W3096972150C541664917 @default.
- W3096972150 hasLocation W30969721501 @default.
- W3096972150 hasOpenAccess W3096972150 @default.
- W3096972150 hasPrimaryLocation W30969721501 @default.
- W3096972150 hasRelatedWork W1521244776 @default.
- W3096972150 hasRelatedWork W2378490177 @default.
- W3096972150 hasRelatedWork W2993855670 @default.
- W3096972150 hasRelatedWork W3000953536 @default.
- W3096972150 hasRelatedWork W3025864274 @default.
- W3096972150 hasRelatedWork W3034363407 @default.
- W3096972150 hasRelatedWork W3039822732 @default.
- W3096972150 hasRelatedWork W3089657757 @default.
- W3096972150 hasRelatedWork W3157604684 @default.
- W3096972150 hasRelatedWork W3209949477 @default.
- W3096972150 isParatext "false" @default.
- W3096972150 isRetracted "false" @default.
- W3096972150 magId "3096972150" @default.
- W3096972150 workType "book-chapter" @default.