Sökning: "knowledge graphs"

Visar resultat 1 - 5 av 118 uppsatser innehållade orden knowledge graphs.

1. 1. LEVERAGING OPEN DATA AND SEMANTIC WEB TECHNOLOGIES FOR COURSE RECOMMENDATION A case study of a university in Sweden

   Kandidat-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Fabian Bunke; Joakim Eineving; Thor Axell; [2023-11-16]
   Nyckelord :Knowledge graphs; Open data; Course Recommendation; SPARQL; RDF; Semantic web technologies; Linked data;

   Sammanfattning : Navigating the vast amount of information online is often challenging. This is apparent within the domain of higher education, where the sheer quantity of courses and programs on offer can be overwhelming. LÄS MER

3. 2. Open standards and interoperability within the automotive domain and smart cities

   Kandidat-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Amanda Lind Jonsson; Elin Högman Möller; [2023-02-01]
   Nyckelord :Automotive domain; smart cities; urban IoT; interoperability; open standards; knowledge graphs;

   Sammanfattning : Vehicle signals are today in highly heterogeneous formats which leads to difficulties for third-party developers to access, understand and integrate with these signals. Thus, the automotive domain needs to find a way to describe its vehicle signals to the outside world. LÄS MER

4. 3. Antivirus performance in detecting Metasploit payloads : A Case Study on Anti-Virus Effectiveness

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

   Författare :Eric Nyberg; Leandro Dinis Ferreira; [2023]
   Nyckelord :Metasploit; Anti-Virus Effectivness; AV Effectiveness; MSFVenom; Antivirus; AV Software; Metasploit Encoding; Encodings; Detection rates; AV Efficiency; Antivirus efficiency; payloads; payload detection..;

   Sammanfattning : This paper will focus solely on the effectiveness of AV (antivirus) in detecting Metasploit payloads which have been encapsulated with different encapsulation modules. There seems to be a significant knowledge gap in the evaluation of commercial antivirus's software and their ability to detect malicious code and stop such code from being executed on IT systems. LÄS MER

5. 4. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs

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

   Författare :Jakub Reha; [2023]
   Nyckelord :Graph neural networks; Temporal graphs; Benchmark datasets; Anomaly detection; Heterogeneous graphs; Provenance graphs; Grafiska neurala nätverk; temporala grafer; benchmark-datauppsättningar; anomalidetektering; heterogena grafer; härkomstgrafer;

   Sammanfattning : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. LÄS MER

7. 5. On the strategic abilities gained by using knowledge-based strategies for multi-agent teams playing against nature

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

   Författare :Sam Maltin; Simon Rosén; [2023]
   Nyckelord :;

   Sammanfattning : Analogous to how the Knowledge-Based Subset Construct (KBSC) can transform games of imperfect information against nature into games of perfect information, making it easier to find winning strategies for objectives in these games, the multi-agent knowledge-based subset construct (MKBSC) can be used to find winning strategies in multi-agent games of imperfect information. The difference between the two algorithms is that the generalized version can be applied multiple times, which is interpreted as the agent’s considering not just their own knowledge of the game, but also their knowledge of the other agents, and the knowledge of the other agent’s knowledge about their own knowledge, etc. LÄS MER