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          <dc:identifier>https://hdl.handle.net/2286/R.2.N.199205</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
          <dc:rights>All Rights Reserved</dc:rights>
                  <dc:date>2024</dc:date>
                  <dc:format>65 pages</dc:format>
                  <dc:type>Masters Thesis</dc:type>
          <dc:type>Academic theses</dc:type>
          <dc:type>Text</dc:type>
                  <dc:language>eng</dc:language>
                  <dc:contributor>Mendoza, Francis</dc:contributor>
          <dc:contributor>Shrivastava, Aviral</dc:contributor>
          <dc:contributor>Kim, Hokeun</dc:contributor>
          <dc:contributor>SO, Hwisoo</dc:contributor>
          <dc:contributor>Lee, Chanhee</dc:contributor>
          <dc:contributor>Arizona State University</dc:contributor>
                  <dc:description>Partial requirement for: M.S., Arizona State University, 2024</dc:description>
          <dc:description>Field of study: Computer Science</dc:description>
          <dc:description>Defending large-scale networks of Connected Autonomous Vehicles (CAVs) and Smart Cities presents unique challenges due to constraints in resources, interoperability, and device diversity. This complexity is compounded by the inherent asymmetry in cyber warfare, where attackers can exploit vulnerabilities with significantly lower resource investment than defenders require. To address this critical issue, AEGIS (Asynchronous Evidence-Based Guardianship for Integrated Security) is introduced as a government-controlled, special-purpose network designed specifically to enhance the security of CAV and Smart City infrastructure meeting very topology requirements in a very particular configuration. AEGIS operates by imposing high and exponentially increasing computational costs on malicious actions, effectively serving as a deterrent against cyber threats. The system integrates adaptive defense mechanisms, including dynamic subnet reconfiguration, a modified proof-of-work protocol optimized for CAV &amp; Smart City lightweight devices, and a decentralized threat detection system. These features collectively mitigate the asymmetric cost advantage that attackers typically enjoy, requiring them to expend substantially more resources and face statistically unfavorable conditions to successfully execute attacks on this novel network. Evaluation results demonstrate that AEGIS significantly reduces the probability of successful Byzantine faults while improving performance and energy efficiency by 99.998% and 99.999%, respectively, compared to traditional mechanisms that are incompatible with CAV and Smart City environments. By effectively raising the computational costs associated with attacks and reducing the likelihood of successful exploits, AEGIS provides a novel and robust framework for safeguarding critical infrastructure specifically in the realms of CAVs and Smart Cities.</dc:description>
                  <dc:subject>Computer Science</dc:subject>
          <dc:subject>Blockchain</dc:subject>
          <dc:subject>Consensus</dc:subject>
          <dc:subject>cyber-physical system</dc:subject>
          <dc:subject>Cybersecurity</dc:subject>
          <dc:subject>Cyberwarfare</dc:subject>
          <dc:subject>Network</dc:subject>
                  <dc:title>AEGIS: A Special-Purpose Computer Network For Strategic Cyber Defense</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
