Sökning: "molnbaserade plattformar"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden molnbaserade plattformar.

1. 1. A command-and-control malware design using cloud covert channels : Revealing elusive covert channels with Microsoft Teams

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

   Författare :Massimo Bertocchi; [2023]
   Nyckelord :Covert channel; Command and Control; Microsoft Teams; Detection; Hemlig kanal; ledning och kontroll; Microsoft Teams; upptäckt;

   Sammanfattning : With the rise of remote working, business communication platforms such as Microsoft Teams have become indispensable tools deeply ingrained in the workflow of every employee. However, their increasing importance have made the identification and analysis of covert channels a critical concern for both individuals and organizations. LÄS MER

3. 2. Adopting Observability-Driven Development for Cloud-Native Applications : Designing End-to-end Observability Pipeline using Open-source Software

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

   Författare :Chujie Ni; [2023]
   Nyckelord :Observability-driven Development; End-to-end observability; Open-source pipeline; OpenTelemetry; Kubernetes; Observerbarhetsdriven utveckling; observerbarhet från slut till slut; pipeline med öppen källkod; OpenTelemetry; Kubernetes;

   Sammanfattning : As cloud-native applications become more distributed, complex, and unpredictable with the adoption of microservices and other new architectural components, traditional monitoring solutions are inadequate in providing end-to-end visibility and proactively identifying deviations from expected behaviour before they become disruptive to services. In response to these challenges, observability-driven development (ODD) is proposed as a new methodology that leverages tools and practices to observe the state and detect the behaviour of systems. LÄS MER

4. 3. Application of transfer learning in text classification for small and medium sized web-based enterprises

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

   Författare :Victor Oldensand; Simon Haglund; [2022]
   Nyckelord :;

   Sammanfattning : In recent years, the open sourcing of pretrained machine learning models through platforms like Hugging Face has reduced the barriers to entry in big data analysis. This thesis studies the use case of such models for web-based organisations, with a focus on text classification. LÄS MER

5. 4. Serverless Streaming Graph Analytics with Flink Stateful Functions

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

   Författare :Sihan Chen; [2022]
   Nyckelord :Temporal Graph; Graph Analytics; Flink Stateful Functions; Serverless; FaaS;

   Sammanfattning : Serverless Function as a Service (FaaS) platforms have been an emerging trend nowadays with the continuous improvement of the cloud-native ecosystem. Graph streaming analytics is a widely-known research area that demands well-designed computation paradigms and complex optimization of storage and queries. LÄS MER

7. 5. Random projections in a distributed environment for privacy-preserved deep learning

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

   Författare :Malcolm Bagger Toräng; [2021]
   Nyckelord :Random projections; Generative adversarial networks; Privacy metrics; Deep learning; Obfuscation.; Slumpmässiga projektioner; Generativa kontroversiella nätverk; Privatiserings-mått; Djupinlärning; Obfuskering.;

   Sammanfattning : The field of Deep Learning (DL) only over the last decade has proven useful for increasingly more complex Machine Learning tasks and data, a notable milestone being generative models achieving facial synthesis indistinguishable from real faces. With the increased complexity in DL architecture and training data, follows a steep increase in time and hardware resources required for the training task. LÄS MER