Dissertation/ Thesis
Optimizing security for software deployed on cloud environment using evolutionary search ; تحسين أمن البرمجيات التي تعمل في البيئة السحابية باستخدام الخوارزميات الجينية
| Τίτλος: | Optimizing security for software deployed on cloud environment using evolutionary search ; تحسين أمن البرمجيات التي تعمل في البيئة السحابية باستخدام الخوارزميات الجينية |
|---|---|
| Συγγραφείς: | Radwan, Wafaa |
| Συνεισφορές: | Hassouneh, Yousef |
| Έτος έκδοσης: | 2016 |
| Συλλογή: | FADA - Birzeit University Open Access Repository |
| Θεματικοί όροι: | Cloud computing - Security, Service-oriented architecture (Computer science), Genetic algorithms - Data processing |
| Περιγραφή: | This research studies heuristic search-based optimization of service compositions. We have investigated applying Genetic Algorithms (GA) to optimize service-oriented architectures in terms of security goals and cost. Service composition security risk is measured by implementing the aggregation rules from the local security risk values of the aggregated services in the composition. We adapt the DREAD model for Security risk assessment by suggesting new categorizations for calculating DREAD factors based on a proposed service structure and service attributes. We implemented the YAFA-SOA Optimizer as an extension of an existing implementation of the GA to solve multi-objective optimization problems for varying number of objectives in the context of service oriented architectures. We conducted an experiment to investigate our Research Questions. The experiment results showed that applying multi-objective GA is feasible to find the optimized security and cost in Service oriented architectures. We were able to approve that adding security services to the generated composition reduces the risk severity of the generated composition and enhances its security in terms of confidentiality, integrity and availability (CIA). |
| Τύπος εγγράφου: | thesis |
| Γλώσσα: | English |
| Relation: | http://hdl.handle.net/20.500.11889/5612 |
| Διαθεσιμότητα: | https://hdl.handle.net/20.500.11889/5612 |
| Αριθμός Καταχώρησης: | edsbas.F82F06F7 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://hdl.handle.net/20.500.11889/5612# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimizing security for software deployed on cloud environment using evolutionary search ; تحسين أمن البرمجيات التي تعمل في البيئة السحابية باستخدام الخوارزميات الجينية – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Radwan%2C+Wafaa%22">Radwan, Wafaa</searchLink> – Name: Author Label: Contributors Group: Au Data: Hassouneh, Yousef – Name: DatePubCY Label: Publication Year Group: Date Data: 2016 – Name: Subset Label: Collection Group: HoldingsInfo Data: FADA - Birzeit University Open Access Repository – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Cloud+computing+-+Security%22">Cloud computing - Security</searchLink><br /><searchLink fieldCode="DE" term="%22Service-oriented+architecture+%28Computer+science%29%22">Service-oriented architecture (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms+-+Data+processing%22">Genetic algorithms - Data processing</searchLink> – Name: Abstract Label: Description Group: Ab Data: This research studies heuristic search-based optimization of service compositions. We have investigated applying Genetic Algorithms (GA) to optimize service-oriented architectures in terms of security goals and cost. Service composition security risk is measured by implementing the aggregation rules from the local security risk values of the aggregated services in the composition. We adapt the DREAD model for Security risk assessment by suggesting new categorizations for calculating DREAD factors based on a proposed service structure and service attributes. We implemented the YAFA-SOA Optimizer as an extension of an existing implementation of the GA to solve multi-objective optimization problems for varying number of objectives in the context of service oriented architectures. We conducted an experiment to investigate our Research Questions. The experiment results showed that applying multi-objective GA is feasible to find the optimized security and cost in Service oriented architectures. We were able to approve that adding security services to the generated composition reduces the risk severity of the generated composition and enhances its security in terms of confidentiality, integrity and availability (CIA). – Name: TypeDocument Label: Document Type Group: TypDoc Data: thesis – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: http://hdl.handle.net/20.500.11889/5612 – Name: URL Label: Availability Group: URL Data: https://hdl.handle.net/20.500.11889/5612 – Name: AN Label: Accession Number Group: ID Data: edsbas.F82F06F7 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.F82F06F7 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: Cloud computing - Security Type: general – SubjectFull: Service-oriented architecture (Computer science) Type: general – SubjectFull: Genetic algorithms - Data processing Type: general Titles: – TitleFull: Optimizing security for software deployed on cloud environment using evolutionary search ; تحسين أمن البرمجيات التي تعمل في البيئة السحابية باستخدام الخوارزميات الجينية Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Radwan, Wafaa – PersonEntity: Name: NameFull: Hassouneh, Yousef IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2016 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
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