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 159 for “"Sensitive Data"”.
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Safeguarding sensitive data: prompt engineering for Gen AI
… A major risk with GenAI is the potential for data reconstruction, where AI systems can inadvertently regenerate or infer sensitive mission data, even from anonymized or fragmented inputs. This is relevant today because we are in an AI arms race against our adversaries much like the race to the …
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Secure Input Overlays : increasing security for sensitive data on Android
… untrusted mobile application will need to obtain sensitive inputs, such as credit card information or passwords, from the user. The application needs these sensitive inputs in order to send them to a trusted service provider that enables the application to implement some useful functionality such …
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A programming system for the dynamic manipulation of temporally sensitive data
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Harpocrates: Privacy-Preserving and Immutable Audit Log for Sensitive Data Operations
… of an audit log is crucial when operating over sensitive data to comply to standard data regulations (e.g., HIPAA). Despite its critical needs, state-of-the-art privacy-preserving audit log schemes (e.g., Ghostor (NSDI '20), Calypso (VLDB '19)) do not fully obtain a high level of privacy, …
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Evaluating the Proliferation and Pervasiveness of Leaking Sensitive Data in the Secure Shell Protocol and in Internet Protocol Camera Frameworks
… to this point, it should concern us all in what data we are transferring, both intentionally and unintentionally, and whether or not that data is being “leaked”. In this work, we consider the evolving landscape of IoT devices and the threat posed by the pervasive botnets that have been forming …
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PARTE : automatic program partitioning for efficient computation over encrypted data
Many modern applications outsource their data storage and computation needs to third parties. Although this lifts many infrastructure burdens from the application developer, he must deal with an increased risk of data leakage (i.e. there are more distributed copies of the data, the third party may …
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Dynamic ensemble of classifiers and security relevant methods of android’s API : an empirical study
… system provides functions and methods to handle sensitive data to se- cure users’ data. Sensitive data is every data that can identify the user, such as GPS location, biometric data, and banking data. The Android security literature proposes extracting binary features from a method and …
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Development of a time-dependent, audio-visual, stated choice method of data collection for hurricane evacuation behavior
… method to collect hurricane evacuation behavior data. However, revealed preference surveys, as they are currently administered, have the disadvantage that they are unable to collect time-sensitive and policy-sensitive data needed to test evacuation policies. In contrast, data collected from a …
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Integrating TrustZone Protection with Communication Paths for Mobile Operating System
… and financial transaction. Therefore, users’ sensitive data processed by smartphones will be at risk if underlying mobile OSes are compromised. A technology called Trusted Execution Environment (TEE) has been introduced to protect sensitive data in the event of compromised OS and …
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Phishing Warden: Enhancing Content-Triggered Trust Negotiation to Prevent Phishing Attacks
… negotiation (CTTN), filters Internet traffic for sensitive data, and prevents a user from disclosing sensitive information to an un-trusted server. However, existing CTTN implementations are vulnerable to client-side scripts that obfuscate any data the client's browser sends to the web server in …
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Vulnerability exploration and data protection in end-user applications
… knowledge or awareness of end users, users’ sensitive data may not be properly protected in those applications and can be leaked to attackers resulting in severe consequences such as identity theft, financial loss, and privacy leakage. Therefore, exploring potential vulnerabilities and …
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Understanding and mitigating privacy risk in machine learning systems
… information a model learns from its training data and whether the information could be leaked through the model’s predictions. Therefore, we design various attacks to infer different information from machine learning models trained on sensitive data. By analyzing the performance of these …
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Preventing data leakage in web services
… However, using these applications can cause sensitive data leakage both on the server and client. On the server-side, applications collect and analyze sensitive user data to monetize it. Consequently, this sensitive data can leak through data breaches or can be accessed by malicious service …
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Using machine learning to guide automated intrusion response
… expected, particularly with networks containing sensitive data, it is not completely practical, considering the ever-growing demand for speed, scalability, and automation in computer networks. This work presents a proof of concept automated IRS that provides both for networks containing sensitive …
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HyperSpace: Data-Value Integrity for Securing Software
… vulnerabilities. They redirect security-sensitive data values (e.g., return address, function pointer, and heap metadata) to an unintended value. Current state-of-the-art policies, such as Data-Flow Integrity (DFI) and Control-Flow Integrity (CFI), are effective but often struggle to …
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Detecting non-secure memory deallocation with CBMC
Scrubbing sensitive data before releasing memory is a widely recommended but often ignored programming practice for developing secure software. Consequently, sensitive data such as cryptographic keys, passwords, and personal data, can remain in memory indefinitely, thereby increasing the risk of …
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Beyond traditional assumptions in fair machine learning
… based on statistical properties of observed data are fundamentally limited. Revisiting this limitation from a causal viewpoint we develop a more versatile conceptual framework, causal fairness criteria, and first algorithms to achieve them. We also provide tools to analyze how sensitive a …
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Algorithm-Agnostic System for Measuring Susceptibility of Cryptographic Accelerators to Power Side Channel Attacks
… generic processors, often handle encryption of sensitive data. Protecting this sensitive data is a significant challenge, with potential vulnerabilities extending from bugs in both software and hardware. One major class of vulnerabilities under active research is the use of Power Side Channels …
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Bismuth : a blockchain-based program for verifying responsible data usage
… and stored is growing at a staggering rate. Data-driven insights are increasingly relied upon to make decisions, directly impacting individuals. The burgeoning importance of data in shaping the world around us requires a shift in the current data ownership, exchange and usage paradigm. …
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Zero Trust Architecture
… principles in order to ensure the security of sensitive data, systems, and services as enterprise networks become increasingly dispersed and complex.</p>
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