Sökning: "Attackgrafer"

Visar resultat 1 - 5 av 15 uppsatser innehållade ordet Attackgrafer.

1. 1. Exploring the Viability of PageRank for Attack Graph Analysis and Defence Prioritization

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

   Författare :Marcus Dypbukt Källman; [2023]
   Nyckelord :Cybersecurity; PageRank; Attack Graphs; Threat analysis; Threat modelling; Cybersäkerhet; PageRank; Attackgrafer; Hotanalys; Hotmodellering;

   Sammanfattning : In today's digital world, cybersecurity is becoming increasingly critical. Essential services that we rely on every day such as finance, transportation, and healthcare all rely on complex networks and computer systems. LÄS MER

3. 2. HackerGraph : Creating a knowledge graph for security assessment of AWS systems

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

   Författare :Alexios Stournaras; [2023]
   Nyckelord :Cloud security; Knowledge graph; Attack graph; Vulnerability ssessment; Attack paths; Vulnerable-by-design systems; Cloudgoat; Molnsäkerhet; Kunskapsgraf; Attackgraf; Sårbarhetsanalysis; Sårbara miljöer; Cloudgoat;

   Sammanfattning : With the rapid adoption of cloud technologies, organizations have benefited from improved scalability, cost efficiency, and flexibility. However, this shift towards cloud computing has raised concerns about the safety and security of sensitive data and applications. LÄS MER

4. 3. Gamifying Attack Path Reporting : Preliminary design of an educational cyber security game

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

   Författare :Anna Misnik; Shafeek Zakko; [2022]
   Nyckelord :Gamification; Cyber Security Education; Game Design; Meta Attack Language; Attack Simulations; Hacking; Spelifiering; Cybersäkerhetsutbildning; Spel Design; Meta Attack Språk; Attacksimuleringar; Dataintrång;

   Sammanfattning : With rapid digitalization and technical growth, the IT systems that we are using are becoming extremely complicated and intertwined. This created as a result, more challenging security problems that get complicated alongside the systems, and the need for advanced solutions to prevent the exploitation of systems vulnerabilities. LÄS MER

5. 4. 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

7. 5. 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