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dc.contributor.authorMcIntosh, Timothy Raymond
dc.date.accessioned2019-02-04T21:57:12Z
dc.date.available2019-02-04T21:57:12Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10179/14236
dc.descriptionEmbargoed until 11 May 2020en_US
dc.description.abstractCrypto-Ransomware are a type of extortion-based malware that encrypt victims’ personal files with strong encryption algorithms and blackmail victims to pay ransom to recover their files. The recurrent episodes of high-profile ransomware attacks like WannaCry and Petya, particularly on healthcare, government agencies and big corporates, have highlighted the immediate demand for effective defense mechanisms. In this paper, RANDETER is introduced as a novel anti-crypto-ransomware solution that deters ransomware activities.--Excerpten_US
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectComputer securityen_US
dc.subjectData protectionen_US
dc.subjectComputer crimes|xPreventionen_US
dc.subjectCyberterrorism|xPreventionen_US
dc.subjectMalware (Computer software)en_US
dc.titleRanDeter : using novel statistical and physical controls to deter ransomware attacks : a thesis presented in partial fulfillment of the requirements for the degree of Master of Information Sciences in Software Engineering at Massey University, Auckland, New Zealand. EMBARGOED until 11 May 2020en_US
dc.typeThesisen_US
thesis.degree.disciplineSoftware Engineeringen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Information Sciences (MInfSc)en_US


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