Sökning: "Attack Graphs Generation"

Hittade 3 uppsatser innehållade orden Attack Graphs Generation.

  1. 1. Modelling Cyber Security of Networks as a Reinforcement Learning Problem using Graphs : An Application of Reinforcement Learning to the Meta Attack Language

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

    Författare :Sandor Berglund; [2022]
    Nyckelord :Attack graphs; reinforcement learning; graph neural networks; Meta Attack Language; MAL; deepQ-learning DQN ; Attackgrafer; förstärningsinlärning; artificiella neuronnät; grafneuronnät; djup Qinlärning; Meta Attack Language; MAL;

    Sammanfattning : ICT systems are part of the vital infrastructure in today’s society. These systems are under constant threat and efforts are continually being put forth by cyber security experts to protect them. By applying modern AI methods, can these efforts both be improved and alleviated of the cost of expert work. LÄS MER

  3. 2. Learning Policies for Path Selection in Attack Graphs

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

    Författare :Manuel Rickli; [2022]
    Nyckelord :;

    Sammanfattning : IT systems are indispensable nowadays. With thousands of hacking attempts happening daily, cyber defense mechanisms are crucial for maintaining a working state of those systems. Simulating an attacker is a means of preparing for future hacking attacks by determining the most likely vulnerabilities where an attack could be attempted. LÄS MER

  4. 3. A Framework for Secure Structural Adaptation

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

    Författare :Goran Saman Nariman; [2018]
    Nyckelord :Self-Adaptive System; Adaptive System; Security; Threat Models; Security Metrics; Structural Adaptation; Reconfiguration Plan; Security Level; Graph-based Threat Models; Dynamic Reconfiguration; Structural Reconfiguration; Attack Graphs; T-HARM; Attack Trees; Attack Graphs Generation; MulVAL;

    Sammanfattning : A (self-) adaptive system is a system that can dynamically adapt its behavior or structure during execution to "adapt" to changes to its environment or the system itself. From a security standpoint, there has been some research pertaining to (self-) adaptive systems in general but not enough care has been shown towards the adaptation itself. LÄS MER