{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/146"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/146","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Data hiding and detection in Office Open XML (OOXML) documents","abstract":"With the rapid development and popularity of information technology, criminals and mischievous computer users are given avenues to commit crimes and malicious activities. One of the commonly used tactics, called steganography, is to hide information under a cover media so that except participants, no one else knows the existence of such information. Many techniques have been proposed for hiding data in images, videos and audios, but there is not much research devoted to data hiding in the popular MS Office documents which have recently adopted Office Open XML (OOXML) format. In this research, we first focus on identifying several data hiding techniques for OOXML documents. Then, we design and develop a fast detection algorithm based on the unique internal structure of OOXML documents, which contains multiple XML files, by using multi-XML query technique. Experimental results show the proposed detection algorithm outperforms the traditional one in terms of detection speed and completeness, where performance is the key to success of detecting hidden data in OOXML documents due to the fact that millions of documents are generated and transferred over the internet every day.","abstract_html":"With the rapid development and popularity of information technology, criminals and mischievous computer users are given avenues to commit crimes and malicious activities. One of the commonly used tactics, called steganography, is to hide information under a cover media so that except participants, no one else knows the existence of such information. Many techniques have been proposed for hiding data in images, videos and audios, but there is not much research devoted to data hiding in the popular MS Office documents which have recently adopted Office Open XML (OOXML) format. In this research, we first focus on identifying several data hiding techniques for OOXML documents. Then, we design and develop a fast detection algorithm based on the unique internal structure of OOXML documents, which contains multiple XML files, by using multi-XML query technique. Experimental results show the proposed detection algorithm outperforms the traditional one in terms of detection speed and completeness, where performance is the key to success of detecting hidden data in OOXML documents due to the fact that millions of documents are generated and transferred over the internet every day.","abstract_has_math":false,"creators":["Raffay, Mohammad Ali"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Lin, Xiaodong","Grami, Ali"],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-03-01","date_published":"2011-03-01","updated_at":"2026-07-24T05:35:34Z","subjects":["Office Open XML","Steganography","OOXML","Data hiding"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/146","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Lin, Xiaodong","Grami, Ali"]},{"key":"dc:creator","label":"Author","values":["Raffay, Mohammad Ali"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2011-05-10T18:44:19Z","2022-03-29T16:33:44Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2011-05-10T18:44:19Z","2022-03-29T16:33:44Z"]},{"key":"dc:date.issued","label":"Date","values":["2011-03-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Office Open XML","Steganography","OOXML","Data hiding"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/146"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["With the rapid development and popularity of information technology, criminals and mischievous computer users are given avenues to commit crimes and malicious activities. One of the commonly used tactics, called steganography, is to hide information under a cover media so that except participants, no one else knows the existence of such information. Many techniques have been proposed for hiding data in images, videos and audios, but there is not much research devoted to data hiding in the popular MS Office documents which have recently adopted Office Open XML (OOXML) format. In this research, we first focus on identifying several data hiding techniques for OOXML documents. Then, we design and develop a fast detection algorithm based on the unique internal structure of OOXML documents, which contains multiple XML files, by using multi-XML query technique. Experimental results show the proposed detection algorithm outperforms the traditional one in terms of detection speed and completeness, where performance is the key to success of detecting hidden data in OOXML documents due to the fact that millions of documents are generated and transferred over the internet every day."]},{"key":"dc:title","label":"Title","values":["Data hiding and detection in Office Open XML (OOXML) documents"]}]}],"canonical_facts":{"dc:contributor.advisor":["Lin, Xiaodong","Grami, Ali"],"dc:creator":["Raffay, Mohammad Ali"],"dc:date.accessioned":["2011-05-10T18:44:19Z","2022-03-29T16:33:44Z"],"dc:date.available":["2011-05-10T18:44:19Z","2022-03-29T16:33:44Z"],"dc:date.issued":["2011-03-01"],"dc:description.abstract":["With the rapid development and popularity of information technology, criminals and mischievous computer users are given avenues to commit crimes and malicious activities. One of the commonly used tactics, called steganography, is to hide information under a cover media so that except participants, no one else knows the existence of such information. Many techniques have been proposed for hiding data in images, videos and audios, but there is not much research devoted to data hiding in the popular MS Office documents which have recently adopted Office Open XML (OOXML) format. In this research, we first focus on identifying several data hiding techniques for OOXML documents. Then, we design and develop a fast detection algorithm based on the unique internal structure of OOXML documents, which contains multiple XML files, by using multi-XML query technique. Experimental results show the proposed detection algorithm outperforms the traditional one in terms of detection speed and completeness, where performance is the key to success of detecting hidden data in OOXML documents due to the fact that millions of documents are generated and transferred over the internet every day."],"dc:identifier.uri":["https://hdl.handle.net/10155/146"],"dc:language.iso":["en"],"dc:subject":["Office Open XML","Steganography","OOXML","Data hiding"],"dc:title":["Data hiding and detection in Office Open XML (OOXML) documents"],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:34Z"}