{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/78302"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/78302","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Secure framework for virtualized systems with data confidentiality protection","abstract":"Made available in DSpace on 2015-07-22T22:15:42Z (GMT). No. of bitstreams: 2 Yao_Fangzhou.pdf: 342527 bytes, checksum: 3d1901724e6a4287705d14ed14deb878 (MD5) license.txt: 4058 bytes, checksum: af3c499075bea6c33b5365dec573e091 (MD5) Previous issue date: 2015-01-26","abstract_html":"Made available in DSpace on 2015-07-22T22:15:42Z (GMT). No. of bitstreams: 2 Yao_Fangzhou.pdf: 342527 bytes, checksum: 3d1901724e6a4287705d14ed14deb878 (MD5) license.txt: 4058 bytes, checksum: af3c499075bea6c33b5365dec573e091 (MD5) Previous issue date: 2015-01-26","abstract_has_math":false,"creators":["Yao, Fangzhou"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Campbell, Roy H."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-22T22:15:42Z","date_published":"2015-07-22T22:15:42Z","updated_at":"2026-07-22T22:26:11Z","subjects":["Data Confidentiality","Virtual Machine Introspection","Virtualization","Cloud Computing"],"languages":[],"rights":["Copyright 2015 Fangzhou Yao"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/78302","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Campbell, Roy H."]},{"key":"dc:creator","label":"Author","values":["Yao, Fangzhou"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-07-22T22:15:42Z","2015-05","2015-01-26","2015-5"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Data Confidentiality","Virtual Machine Introspection","Virtualization","Cloud Computing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Fangzhou Yao"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/78302"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Made available in DSpace on 2015-07-22T22:15:42Z (GMT). No. of bitstreams: 2 Yao_Fangzhou.pdf: 342527 bytes, checksum: 3d1901724e6a4287705d14ed14deb878 (MD5) license.txt: 4058 bytes, checksum: af3c499075bea6c33b5365dec573e091 (MD5) Previous issue date: 2015-01-26","Benefits have been claimed by adopting virtualization techniques in many fields. It could significantly reduce the cost of managing systems, including critical systems used in cyber power grid. However, in such environments, multiple virtual instances run on the same physical machine concurrently, and reliance on logical isolation makes a system vulnerable to attacks. Virtual Machine Introspection techniques show effectiveness in building a more secure virtualized environment, since they simplify the process to acquire evidence for further analysis in this complex system. However, the VMI technique breaks down the borders of the segregation between multiple tenants, which might lead to the disclosure of cloud tenants' data. This potential threat becomes a concern for virtual instances running critical systems, and hence it should be avoided in a public cloud computing environment. The disclosure of data could happen easily due to compromised connections, both inside and outside of the cloud, and the misuse of the cloud administrator's authorization. Thus, in this thesis, we focus on building a secure framework, CryptVMI, to address the above concerns. Our approach maintains a client application on the user end to send queries to the cloud, as well as parse the results returned in a standard form. We also have a handler that cooperates with the introspection applications in the cloud infrastructure to process queries and return encrypted results. The introspection application is able to extract information reflecting the behaviors of the guest systems. It also demonstrates its ability to restore processes upon unexpected modification from the remote user. This work shows our design and implementation of this system, and the benchmark results prove that it does not incur much performance overhead.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo terms","The student, Fangzhou Yao, accepted the attached license on 2015-01-24 at 08:22.","The student, Fangzhou Yao, submitted this Thesis for approval on 2015-01-25 at 10:49.","This Thesis was approved for publication on 2015-01-26 at 09:45.","DSpace SAF Submission Ingestion Package generated from Vireo submission #7694 on 2015-07-22 at 10:29:41"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Secure framework for virtualized systems with data confidentiality protection"]}]}],"canonical_facts":{"dc:contributor":["Campbell, Roy H."],"dc:creator":["Yao, Fangzhou"],"dc:date":["2015-07-22T22:15:42Z","2015-05","2015-01-26","2015-5"],"dc:description":["Made available in DSpace on 2015-07-22T22:15:42Z (GMT). No. of bitstreams: 2 Yao_Fangzhou.pdf: 342527 bytes, checksum: 3d1901724e6a4287705d14ed14deb878 (MD5) license.txt: 4058 bytes, checksum: af3c499075bea6c33b5365dec573e091 (MD5) Previous issue date: 2015-01-26","Benefits have been claimed by adopting virtualization techniques in many fields. It could significantly reduce the cost of managing systems, including critical systems used in cyber power grid. However, in such environments, multiple virtual instances run on the same physical machine concurrently, and reliance on logical isolation makes a system vulnerable to attacks. Virtual Machine Introspection techniques show effectiveness in building a more secure virtualized environment, since they simplify the process to acquire evidence for further analysis in this complex system. However, the VMI technique breaks down the borders of the segregation between multiple tenants, which might lead to the disclosure of cloud tenants' data. This potential threat becomes a concern for virtual instances running critical systems, and hence it should be avoided in a public cloud computing environment. The disclosure of data could happen easily due to compromised connections, both inside and outside of the cloud, and the misuse of the cloud administrator's authorization. Thus, in this thesis, we focus on building a secure framework, CryptVMI, to address the above concerns. Our approach maintains a client application on the user end to send queries to the cloud, as well as parse the results returned in a standard form. We also have a handler that cooperates with the introspection applications in the cloud infrastructure to process queries and return encrypted results. The introspection application is able to extract information reflecting the behaviors of the guest systems. It also demonstrates its ability to restore processes upon unexpected modification from the remote user. This work shows our design and implementation of this system, and the benchmark results prove that it does not incur much performance overhead.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo terms","The student, Fangzhou Yao, accepted the attached license on 2015-01-24 at 08:22.","The student, Fangzhou Yao, submitted this Thesis for approval on 2015-01-25 at 10:49.","This Thesis was approved for publication on 2015-01-26 at 09:45.","DSpace SAF Submission Ingestion Package generated from Vireo submission #7694 on 2015-07-22 at 10:29:41"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/78302"],"dc:rights":["Copyright 2015 Fangzhou Yao"],"dc:subject":["Data Confidentiality","Virtual Machine Introspection","Virtualization","Cloud Computing"],"dc:title":["Secure framework for virtualized systems with data confidentiality protection"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:11Z"}