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Software Security Metrics for Malware Resilience

dc.contributor.advisorCremers, Armin B.
dc.contributor.authorLangweg, Hanno
dc.date.accessioned2020-04-12T13:03:50Z
dc.date.available2020-04-12T13:03:50Z
dc.date.issued2008
dc.identifier.urihttps://hdl.handle.net/20.500.11811/3585
dc.description.abstractWe examine the level of resistance offered by a software product against malicious software (malware) attacks. Analysis is performed on the software architecture. This is available as a result of the software design process and can hence be used at an early stage in development. A model of a generic computer system is developed, based on the internationally recognized Common Criteria for Information Technology Security Evaluation. It is formally specified in the Z modeling language. Malicious software attacks and security mechanisms are captured by the model. A repository of generic attack methods is given and the concept of resistance classes introduced to distinguish different levels of protection. We assess how certain architectural properties and changes in system architecture affect the possible resistance classes of a product. This thesis has four main contributions: A generic model of an operating system from a security perspective, a repository of typical attack methods, a set of resistance classes, and an identification of software architecture metrics pertaining to ordered security levels.
dc.language.isoeng
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectIT-Sicherheit
dc.subjectMessbare Sicherheit
dc.subjectSicherheitsmetriken
dc.subjectMetriken
dc.subjectSoftwaresicherheit
dc.subjectSicherheitsstufen
dc.subjectSicherheitskriterien
dc.subjectIT security
dc.subjectmeasurable security
dc.subjectsoftware security
dc.subjectsecurity levels
dc.subjectsecurity criteria
dc.subject.ddc004 Informatik
dc.titleSoftware Security Metrics for Malware Resilience
dc.typeDissertation oder Habilitation
dc.publisher.nameUniversitäts- und Landesbibliothek Bonn
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.identifier.urnhttps://nbn-resolving.org/urn:nbn:de:hbz:5N-13328
ulbbn.pubtypeErstveröffentlichung
ulbbnediss.affiliation.nameRheinische Friedrich-Wilhelms-Universität Bonn
ulbbnediss.affiliation.locationBonn
ulbbnediss.thesis.levelDissertation
ulbbnediss.dissID1332
ulbbnediss.date.accepted25.02.2008
ulbbnediss.fakultaetMathematisch-Naturwissenschaftliche Fakultät
dc.contributor.coRefereeSnekkenes, Einar


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