Sökning: "software security"

Visar resultat 6 - 10 av 687 uppsatser innehållade orden software security.

1. 6. A Prevention Technique for DDoS Attacks in SDN using Ryu Controller Application

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Yashwanth Venkata Sai Kumar Adabala; Lakshmi Venkata Raghava Sudheer Devanaboina; [2024]
   Nyckelord :Software Defined Networking; SDN; IP Spoofing; Flooding; DDoS Attacks; Mininet; Snort IDS; Network Security;

   Sammanfattning : Software Defined Networking (SDN) modernizes network control, offering streamlined management. However, its centralized structure makes it more vulnerable to distributed Denial of Service (DDoS) attacks, posing serious threats to network stability. LÄS MER

3. 7. Att undersöka brottsplatser med databasdriven visualiseringsteknik

   Kandidat-uppsats, Lunds universitet/Certec - Rehabiliteringsteknik och Design

   Författare :Olivia Paul; [2024]
   Nyckelord :Visualiseringsteknik. Interaktiva kartor Brottsanalys Användarcentrerad design; Technology and Engineering;

   Sammanfattning : I detta examensarbete har fokuset varit på att utveckla en programvara för hantering och analysering av brottsplatser genom interaktiva kartvisualiseringar från en mängd data. Arbetet inleddes med valet av lämpliga verktyg för kartvisualisering, där QGIS initialt övervägdes men Mapbox antogs som det slutliga valet på grund av dess flexibilitet och användbarhet [21]. LÄS MER

4. 8. Streamlining the Process of Surveying Cybersecurity Vulnerabilities in OT

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Willem Brahmstaedt; Eira Höglund; Caspian Kullgren; Simon Larsson; Hanna Schaff; Johanna Thall; [2023-03-03]
   Nyckelord :operational technology; cybersecurity standards; containerization; computer aided process optimization; software development; application; web server;

   Sammanfattning : Operational Technology, OT, is the backbone of the 21st-century society since it eases access for managing critical infrastructure like water, transportation, and energy supply. Therefore, the security of such systems is of utmost importance. LÄS MER

5. 9. Natural Language Processing on the Balance of theSwedish Software Industry and Higher VocationalEducation

   Kandidat-uppsats, Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

   Författare :Emil Bäckstrand; Rasmus Djupedal; [2023]
   Nyckelord :Swedish Software Industry; Higher Vocational Education; Software Engineering; Latent Dirichlet Allocation; Document Frequency Analysis;

   Sammanfattning : The Swedish software industry is fast-growing and in needof competent personnel, the education system is on the frontline of producing qualified graduates to meet the job marketdemand. Reports and studies show there exists a gapbetween industry needs and what is taught in highereducation, and that there is an undefined skills shortageleading to recruitment failures. LÄS MER

7. 10. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

   Författare :Javier Ferre Martin; [2023]
   Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

   Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER