Sökning: "specific vulnerabilities"

Visar resultat 1 - 5 av 107 uppsatser innehållade orden specific vulnerabilities.

1. 1. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Sofia Leksell; [2024]
   Nyckelord :Federated Learning; Adversarial Attacks; Regression; Classification;

   Sammanfattning : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. LÄS MER

3. 2. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

   Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Författare :Sofia Leksell; [2024]
   Nyckelord :Federated Learning; Adversarial Attacks; Regression; Classification;

   Sammanfattning : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. LÄS MER

4. 3. Ensuring the Security of PyPI Packages

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :David Shakoori Gustafsson; [2023-10-23]
   Nyckelord :Computer science; Security; Python; PyPI; Typosquatting;

   Sammanfattning : Developers often use open-source code libraries in order to achieve desired functionalities without needing to re-implement existing code. Python developers are no exceptions here, and frequently use the Python Package Index, PyPI, to download the specific code packages they want to use. LÄS MER

5. 4. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Ivan Baheux; [2023]
   Nyckelord :Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

   Sammanfattning : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. LÄS MER

7. 5. Testing IoT Security : A comparison of existing penetration testing frameworks and proposing a generic framework

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Alva Widerberg Palmfeldt; William Mattsson; [2023]
   Nyckelord :Internet of Things; penetration testing; standardization; framework; vulnerability exploitation;

   Sammanfattning : The Internet of Things (IoT) refers to the billions of physical devices linked to the Internet worldwide, integrating into various systems like healthcare, finance, and transportation. However, the rapid market expansion has led to software and hardware security shortcomings, leaving IoT devices vulnerable to cybercriminals. LÄS MER