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.
Results
Showing 1 to 15 of 15 for “"Vulnerability Detection"”.
-
Program Transformations for Vulnerability Detection in Binary Executable Files
… underlying software on any hardware platform. Vulnerability analysis entails the process of determining whether a system contains a flaw which an attacker can exploit to compromise the system. Across the years, many approaches and strategies to perform vulnerability analysis and detection have …
-
Fuzz Testing Architecture Used for Vulnerability Detection in Wireless Systems
The wireless world of today is essential to the everyday life of millions of people. Wireless technology is evolving at a rapid pace that's speed outmatches what the previous testing can handle. This necessitates the need for smarter and faster testing methods. One of the recent fast and efficient …
-
Design and development of a vulnerability detection framework using artificial intelligence for embedded systems
… This thesis presents a comprehensive approach to vulnerability detection and mitigation across these layers, leveraging machine learning, deep learning, and AI-driven solutions. At the application layer, this research focuses on low-level programming applications that control or impact embedded …
-
Comparative research on code vulnerability detection: Open-source vs. proprietary large language models and LSTM neural network
… cycle. This research focuses on enhancing vulnerability detection in source code through advanced machine learning techniques, including open-source fine-tuned and proprietary large language models. It compares the models, including CodeGen2, LLaMA 2, and GPT, developed by OpenAI to …
-
Software Vulnerabilities in FOSS: From Assessment to Forecasting and Effective Usability
… part addresses the problem of forecasting future vulnerability. It proposes a methodology for forecasting the probability of a library being vulnerable, leveraging the evolution of the library's source codes and dependencies. This methodology is supported by another methodology that categorizes …
-
IMPROVING VULNERABILITY TESTING AND DETECTION IN THE EMBEDDED CONTEXT
… per attack, enhancing both pre-deployment vulnerability attestation through automated testing and runtime vulnerability detection mechanisms represents not only a practical necessity but also a significant research challenge, given the limited reusability of existing solutions in embedded …
-
Moth: a hybrid threat model for improving software security testing
… BodgeIt store shows an improved SQL injection vulnerability detection rate of 13.33% in comparison to a commercial tool, IBM AppScan. Further benchmarking of MOTH with respect to SQL injection vulnerability detection in both BodgeIT store and IBM’s Altoro Mutual online banking application shows …
-
Detecting vulnerabilities of broadcast receivers in Android applications
… Providers. Little attention has been paid to the vulnerability of Broadcast Receiver, which is expected to assist inter-component collaboration and facilitate component reutilization. In this thesis, we first present a detailed analysis on vulnerabilities of Broadcast Receiver. Then, we design and …
-
Hybrid Testing: Combining Static Analysis and Directed Fuzzing
… directed fuzzing. Hybrid Testing is the first vulnerability detection technique with full codebase coverage and no false positives. It can be seamlessly integrated into the development cycle and scales well to large codebases. This work details the design and implementation of Hybrid Testing …
-
TRUSTED RUNTIME ENVIRONMENTS FOR EMBEDDED SYSTEMS: FROM MEMORY PROTECTION TO SECURE VIRTUALIZATION
… detailed crash reporting with root-cause vulnerability localization, the system enables precise identification of the code responsible for violations and provides developers with clearer diagnostic information to support efficient patching. For temporal memory safety, a novel remote …
-
Trojan Detection in Large Language Models of Code
… used in software development for tasks such as vulnerability detection, clone detection, code completion, and code summarization. Popular platforms that use AI-assisted software development include GitHub’s Copilot and ChatGPT, which are based on versions of the GPT large language model. Several …
-
Software defect localization using explainable deep learning
… is the field of machine learning-based software vulnerability detection, where models are trained to classify code as either vulnerable or clean. These models offer advantages over traditional static application testing tools, including adaptability to project-specific code and tunable decision …
-
Static Analyses of Interlanguage Interoperations
… and its applications which includes, vulnerability detection, program understanding, amongst others.
-
Using a Web Server Test Bed to Analyze the Limitations of Web Application Vulnerability Scanners
… be attributed to the fact that web application vulnerability scanners are not used by web site administrators to scan for flaws. Web application vulnerability scanners are tools that can be used by network administrators and security experts to help prevent and detect vulnerabilities such as SQL …