Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 47 for “"Threat model"”.
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Moth: a hybrid threat model for improving software security testing
As SQL injection attack (SQLIA) continues to threaten web applications despite several techniques recommended to prevent it, a Hybrid Threat Modeling strategy was adopted in this research due to its proactive approach to risk mitigation in web applications. This involved the combination of 3 threat …
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Circumventing Memory Corruption Mitigations in the Spectre Era: Real-World Attacks and Systematic Analysis of Defenses
… the two vulnerabilities in two disjoint threat models. This thesis studies the synergies that arise at the convergence of the two threat models. In particular, this thesis first presents PACMAN, a novel attack methodology that leverages speculative execution attacks to circumvent ARM …
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Establishment of a Cyber-Physical Systems (CPS) Test Bed to Explore Traffic Collision Avoidance System (TCAS) Vulnerabilities to Cyber Attacks
… in now possible. This paper outlines a proposed threat model for several TCAS vulnerabilities from an adversarial perspective. Periodic and aperiodic attack models are explored as possible low latency solutions to spoof TCAS range estimation. A TCAS test bed is established with commercial …
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Implementing Secure Shared Memory for Side-Channel-Resistant Enclaves
… already exist, most do not consider the threat of microarchitectural side channels and transient execution attacks. And although one academic proposal – MI6 – has addressed this stronger threat model, these security guarantees often come at a cost of a more limited capability, as well as …
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GENERALIZING ROBUSTNESS VERIFICATION FOR MACHINE LEARNING
… robustness of neural networks given a specified threat model is a fundamental yet challenging task. Although a lot of work has been done to quantify the robustness of DNN’s to ℓₚ norm bounded adversarial attacks there are still a few gaps between available guarantees and those needed in practice. …
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Usable Post-Classification Visualizations for Android Collusion Detection and Inspection
Android malware collusion is a new threat model that occurs when multiple Android apps communicate in order to execute an attack. This threat model threatens all Android users' private information and system resource security. Although recent research has made advances in collusion detection and …
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How Data Drives ML Models Performance
… the understanding of the effect of the data on model performance and reliability. First, we study how choice of training data affects model performance. We consider a transfer learning setting and present a framework for selecting from a large pool of data a pretraining subset that improves …
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Protecting enclaves from side-channel attacks through physical isolation
… in the face of privileged software. I propose a threat model, a methodology to analyze side channels and a new enclave system that adheres to this threat model. Due to the complexities of modern superscalar processors, I conclude that it is undesirable to run enclaves on the same cores as …
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Usage of Adversarial Examples as a Defensive Mechanism in Cybersecurity
… research article is on defenses to a theoretical threat model of malware. The malware, or GUI-Attack, aims to search the victim computer’s desktop and use image recognition to find the icons for highly used web browsers such as Google Chrome, Internet Explorer, Mozilla Firefox, and Opera, and gain …
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Exploring the Vulnerabilities of Traffic Collision Avoidance Systems (TCAS) Through Software Defined Radio (SDR) Exploitation
… GNU Radio to perform an attack in a well-defined threat model.
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Patterns of delay and non-use of prenatal care services among underclass women: a social psychological analysis
… relation between womens' anticipation of Esteem-Threat, their level of satisfaction, and their utilization of prenatal care services in the public assistance setting. One-hundred twenty-six women completed a battery of questionnaires during an initial clinic visit. Measures of patient …
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Proving presence and locality to mitigate compromised smartphone scenarios
… authentication technologies. While the scope of threats and security measures is applicable to mobile computing in general, the study focuses primarily on mobile banking, a sector particularly vulnerable to evolving threats. As online services are shifting to fully mobile solutions, malicious …
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Automated Derivation of Application-Aware Error and Attack Detectors
… errors and attacks according to a given fault or threat model and finds the corner cases that escape detection. The detectors have also been implemented in reconfigurable hardware in the context of the Reliability and Security Engine (RSE) [1].
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POSH : a generalized CAPTCHA with security applications
… doing so, we also define certain aspects of the threat model for our implementation (and the scheme) more precisely.
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Machine Learning and Artificial Intelligence Methods for Cybersecurity Data within the Aviation Ecosystem
… from ML/AI and data science methods: a new threat model to frame the cybersecurity threats and an aviation cybersecurity testbed to perform ML/AI experiments.</p>
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Coevolutionary genetic algorithms for proactive computer network defenses
… and performance. This work is in response to the threat of disruption that computer networks face by adaptive attackers. Our challenge is to improve network defenses by modeling adaptive attacker behavior and predicting attacks so that we may proactively defend against them. To address this, we …
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Trust less : shrinking the trusted parts of trusted systems
… formal definitions of enclaved execution and threat model via a series of hardware and software co-designs. These case studies explore enclave processors with small trusted computing bases spanning a gradient from an embedded SoC to a modern high-performance processor. This work is …
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Understanding the landscape of adversarial robustness
… and voice recognition, state-of-the-art models are pervasively vulnerable to adversarial examples. Adversarial examples are inputs that have been slightly perturbed--such that the semantic content is the same--as to cause malicious behavior in a classifier. The study of adversarial …
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Hardware Fault Attack Detection Methods for Secure Embedded Systems
… to pay-TV units. This trend expands the threat model of embedded applications from software into hardware. Over the last 20 years, fault attacks have emerged as an important class of hardware attacks against embedded software security. In fault attacks, an adversary breaks the security by …
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FireViz : a personal firewall visualizing tool
… educate typical computer users of the security threats their computers are exposed to when connected to a network and expose any potential loop holes in the firewall's security policies. To this end, FireViz presents a novel visualization paradigm that provides users with an informative yet …
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