Essays about: "CES"

Showing result 1 - 5 of 77 essays containing the word CES.

  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. Effects of Prolonged Electricity Supply Disruptions on Critical Entities

    University essay from Lunds universitet/Riskhantering (CI); Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : André Hansson; [2023]
    Keywords : vital societal function; VSF; critical entity; CE; vital societal entity; VSE; critical infrastructure; CI; critical flow; prolonged outage; electricity supply disruption; preparedness; total defence; civil defence; civil preparedness; crisis preparedness; grey zone; critical entities resilience; CER; hybrid warfare; energy security; societal resilience; cascading effect; dependencies; interdependencies; long-term disruption; power outage; power disruption; consequences; outage; samhällsviktig verksamhet; kritisk infrastruktur; totalförsvar; beredskap; Technology and Engineering;

    Abstract : This study investigates Swedish critical entities (CEs) ability to maintain function during up to three months of electricity supply disruptions. It also examines possible improvement measures, and how contextual cases (grey zone, heightened state of alert, war) influence CEs’ ability to maintain function during electricity supply disruptions. READ MORE

  4. 3. Calibration and preparation of the data analysis of the DORN experiment on board the Chang'E 6 lunar mission.

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Íñigo de Loyola Chacartegui Rojo; [2023]
    Keywords : Radon; lunar mission; alpha spectrometry; space instrumentation; performance testing and validation;

    Abstract : As part of the first agreement between the French (CNES) and the Chinese (CNSA) space agencies in terms of space exploration, the DORN instrument will fly on board the Chinese Chang'E 6 mission in 2024. It aims to measure the amount of Radon escaping from the lunar soil to better understand what governs the concentration of this noble gas which contributes to the endogenous origin of the lunar exosphere. READ MORE

  5. 4. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Friedemann Kleinsteuber; [2023]
    Keywords : LiDAR; Domain Adaptation; GAN; CycleGAN; Simulation; LiDAR; Domänadaption; GAN; CycleGAN; Simulation;

    Abstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE

  6. 5. 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