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dc.contributor.authorTian, Keen
dc.date.accessioned2018-09-14T08:00:26Zen
dc.date.available2018-09-14T08:00:26Zen
dc.date.issued2018-09-13en
dc.identifier.othervt_gsexam:16471en
dc.identifier.urihttp://hdl.handle.net/10919/85013en
dc.description.abstractThis thesis presents machine-learning based malware detection and post-detection rewriting techniques for mobile and web security problems. In mobile malware detection, we focus on detecting repackaged mobile malware. We design and demonstrate an Android repackaged malware detection technique based on code heterogeneity analysis. In post-detection rewriting, we aim at enhancing app security with bytecode rewriting. We describe how flow- and sink-based risk prioritization improves the rewriting scalability. We build an interface prototype with natural language processing, in order to customize apps according to natural language inputs. In web malware detection for Iframe injection, we present a tag-level detection system that aims to detect the injection of malicious Iframes for both online and offline cases. Our system detects malicious iframe by combining selective multi-execution and machine learning algorithms. We design multiple contextual features, considering Iframe style, destination and context properties.en
dc.format.mediumETDen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectmobile securityen
dc.subjectweb securityen
dc.subjectmachine learningen
dc.titleLearning-based Cyber Security Analysis and Binary Customization for Securityen
dc.typeDissertationen
dc.contributor.departmentComputer Scienceen
dc.description.degreePh. D.en
thesis.degree.namePh. D.en
thesis.degree.leveldoctoralen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineComputer Science and Applicationsen
dc.contributor.committeechairYao, Danfengen
dc.contributor.committeememberTan, Gangen
dc.contributor.committeememberRamakrishnan, Narenen
dc.contributor.committeememberMeng, Naen
dc.contributor.committeememberRyder, Barbara Gershonen


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