Essays about: "dans i skolan"

Showing result 1 - 5 of 17 essays containing the words dans i skolan.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ivan Baheux; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. Role Based Access Control (RBAC) in the context of Smart Grids : Implementing and Evaluating a Role Based Access Control System for Configuration Loading in a Substation from a Desktop

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gatien Ducornaud; [2023]
    Keywords : Role Based Access Control RBAC ; Cybersecurity; Smart Grid; Substation; Desktop Applications; Contrôle d’accès basé sur les rôles RBAC ; Cybersécurité; Réseau électrique intelligent; Sous-Station; Application Desktop; Rollbaserad åtkomstkontroll RBAC ; Cybersäkerhet; Smarta nät; Transformatorstation; datorapplikation;

    Abstract : Access control is a crucial aspect of cybersecurity, and Role Based Access Control (RBAC) is a typical framework for controlling the access to specific resources. However, in the context of Smart Grids, the usual authentication solution of using a trusted identity provider might not be possible to provide authentication of a user, as systems cannot rely on external services. READ MORE

  4. 3. Automated Generation of EfficientBitslice Implementations forArbitrary Sboxes

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Augustin Bariant; [2023]
    Keywords : Bitslicing; Cryptography; Whitebox; Compilation; Boolean circuits.; Parallélisation au bit; Cryptographie; Boîte blanche; Compilation; Circuits booléens.; Bitslicing; Kryptografi; Vit låda; Kompilering; Booleska kretsar.;

    Abstract : Whitebox cryptography aims at protecting standard cryptographic algorithmsthat execute in attacker-controlled environments. In these, the attacker is ableto read a secret key directly from memory. Common implementations mask alldata at runtime and operate on masked data by using many small precomputedtables. READ MORE

  5. 4. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Victor Sanchez; [2023]
    Keywords : Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

    Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE

  6. 5. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mikael Westlund; [2023]
    Keywords : Autonomous driving; Deep Learning; Domain Adaptation; Image classification; LiDAR; Transfer Learning; Självkörande fordon; Djupinlärning; Domain Adaptation; Bildklassificering; LiDAR; Överföringsinlärning;

    Abstract : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. READ MORE