{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/117730"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/117730","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Modeling and analysis of trustworthy systems using extensions of network reliability","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","abstract_has_math":false,"creators":["Nguyen, Hoang Hai"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Nicol, David M","Borisov, Nikita","Iyer, Ravishankar","Srikant, Rayadurgam"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12","date_published":"2022-12","updated_at":"2026-07-22T22:24:56Z","subjects":["Network Security","Uncertain Graph","Probabilistic Risk Assessment","Simulation"],"languages":["en","eng"],"rights":["Copyright 2022 Hoang Hai Nguyen"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/117730","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Nicol, David M","Borisov, Nikita","Iyer, Ravishankar","Srikant, Rayadurgam"]},{"key":"dc:creator","label":"Author","values":["Nguyen, Hoang Hai"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12","2022-10-25"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Network Security","Uncertain Graph","Probabilistic Risk Assessment","Simulation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Hoang Hai Nguyen"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/117730"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","The student, Hoang Hai Nguyen, accepted the attached license on 2022-09-26 at 23:21.","The student, Hoang Hai Nguyen, submitted this Dissertation for approval on 2022-09-26 at 23:33.","This Dissertation was approved for publication on 2022-10-25 at 13:39.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18506 on 2023-04-12 at 07:23:47","Modern networked computer systems face an ever-increasing threat of cyber-attacks, whose impacts may range from data loss, financial loss, equipment damage, and in the extreme cases such as safety-critical systems, loss of human lives. Defending such systems is a daunting task, in part due to their complexity and dynamicity and in part due to the uncertainty and constantly evolving nature of cyber-attacks. Facing such a challenge, network defenders need to know how much time, money, and other resources to invest in cyber-defense. Furthermore, given a defense budget, they also need a way to rank the effectiveness of different defense solutions in terms of risk reduction. These questions naturally arise from the domain of risk analysis. However, cybersecurity risk management (CSRM) as a relatively young field lacks sound methods to address the peculiarities and unique challenges of cybersecurity. To that end, this thesis organizes efforts to answer a fundamental question, \"how to accurately and efficiently estimate the risk of cyber-attacks against networks?'' As we will see in subsequent chapters, answering this question requires a multidisciplinary approach encompassing network security, graph theory, probabilistic risk assessment, and Monte Carlo simulation. The results of the study are different modeling, analytical, and numerical techniques that can be plugged into a CSRM framework. Together, they help defenders make timely, optimal, and risk-informed decisions in a proactive and reactive fashion--i.e., before and after the event of a network breach. In addition, some techniques can be generalized to a broader class of dependability problems, such as reliability analysis of large-scale systems."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Modeling and analysis of trustworthy systems using extensions of network reliability"]}]}],"canonical_facts":{"dc:contributor":["Nicol, David M","Borisov, Nikita","Iyer, Ravishankar","Srikant, Rayadurgam"],"dc:creator":["Nguyen, Hoang Hai"],"dc:date":["2022-12","2022-10-25"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms","The student, Hoang Hai Nguyen, accepted the attached license on 2022-09-26 at 23:21.","The student, Hoang Hai Nguyen, submitted this Dissertation for approval on 2022-09-26 at 23:33.","This Dissertation was approved for publication on 2022-10-25 at 13:39.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18506 on 2023-04-12 at 07:23:47","Modern networked computer systems face an ever-increasing threat of cyber-attacks, whose impacts may range from data loss, financial loss, equipment damage, and in the extreme cases such as safety-critical systems, loss of human lives. Defending such systems is a daunting task, in part due to their complexity and dynamicity and in part due to the uncertainty and constantly evolving nature of cyber-attacks. Facing such a challenge, network defenders need to know how much time, money, and other resources to invest in cyber-defense. Furthermore, given a defense budget, they also need a way to rank the effectiveness of different defense solutions in terms of risk reduction. These questions naturally arise from the domain of risk analysis. However, cybersecurity risk management (CSRM) as a relatively young field lacks sound methods to address the peculiarities and unique challenges of cybersecurity. To that end, this thesis organizes efforts to answer a fundamental question, \"how to accurately and efficiently estimate the risk of cyber-attacks against networks?'' As we will see in subsequent chapters, answering this question requires a multidisciplinary approach encompassing network security, graph theory, probabilistic risk assessment, and Monte Carlo simulation. The results of the study are different modeling, analytical, and numerical techniques that can be plugged into a CSRM framework. Together, they help defenders make timely, optimal, and risk-informed decisions in a proactive and reactive fashion--i.e., before and after the event of a network breach. In addition, some techniques can be generalized to a broader class of dependability problems, such as reliability analysis of large-scale systems."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/117730"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Hoang Hai Nguyen"],"dc:subject":["Network Security","Uncertain Graph","Probabilistic Risk Assessment","Simulation"],"dc:title":["Modeling and analysis of trustworthy systems using extensions of network reliability"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}