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Showing result 16 - 20 of 60 essays matching the above criteria.

1. 16. Increase Process Maturity by use of Process Models : A qualitative study on motivation, usefulness and ease of use

   University essay from KTH/Lärande

   Author : Christoffer Nilsson; Felicia Rosenberg; [2022]
   Keywords : process model; motivation; usefulness; usability; processmodell; motivation; användbarhet; användarvänlighet;

   Abstract : In the last decades there has been an elevated interest in increasing process thinking in organisations, with the advantages of standardisation and efficiency connected to processes. A challenge with processes is how to document them in process models, and how to get employees to use these process models. READ MORE

3. 17. Advanced Side-Channel Analysis of USIMs, Bluetooth SoCs and MCUs

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Martin Brisfors; [2021]
   Keywords : Side Channel Attack; Deep Learning; AES; USIM; Milenage; Screaming Channels; Transformer; Security; Sidokanalsattack; Djupinlärning; AES; USIM; Milenage; Screaming Channels; Transformer; Säkerhet;

   Abstract : The use of deep learning for side channel analysis has shown a lot of success in recent years. Impressive results have been presented by many researchers. However, critics of this approach have voiced concerns about the ad hoc methodologies and bespoke neural network designs used in many presented approaches. READ MORE

4. 18. Development of GNSS Type Processing for the Characterization of the Mobile Propagation Channel

   University essay from KTH/Fastigheter och byggande

   Author : Adrien Bardou; [2021]
   Keywords : LMS Channel; Multi-paths; GNSS; SCHUN; Simulation; LMS-kanal; flerv¨agar; GNSS; SCHUN; Simulering;

   Abstract : Mobile communication systems are undergoing significant development on increasingly wide frequency bands (5G in particular). To support this development, a detailed characterization of the propagation of electromagnetic waves in L, S and C band between a station (satellite, airborne or ground) and a mobile platform is necessary to analyze and model the phenomena that have a decisive impact on the performance, availability and operability of systems. READ MORE

5. 19. Investigating the Attribution Quality of LSTM with Attention and SHAP : Going Beyond Predictive Performance

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Hannes Kindbom; [2021]
   Keywords : Digital marketing; Attribution modelling; Multi-touch attribution; Deep learning; LSTM; SHAP; Attention; Interpretability; Digital marknadsföring; Attributionsmodellering; Multi-touch attribution; Djupinlärning; LSTM; SHAP; Attention; Tolkningsbarhet;

   Abstract : Estimating each marketing channel’s impact on conversion can help advertisers develop strategies and spend their marketing budgets optimally. This problem is often referred to as attribution modelling, and it is gaining increasing attention in both the industry and academia as access to online tracking data improves. READ MORE

6. 20. Far Field EM Side-Channel Attack Based on Deep Learning with Automated Hyperparameter Tuning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Keyi Liu; [2021]
   Keywords : Side-Channel Attack; Deep Learning; Far Field EM emission; Auto Hyperparameter Tuning; Auto-Keras; AES; Sidokanalattack; Machine Learning; Multilayer Perceptron; Hyperparameter Tuning; Bayesian Optimization; Auto-Keras; AES;

   Abstract : Side-channel attacks have become a realistic threat to the implementations of cryptographic algorithms. By analyzing the unintentional, side-channel leakage, the attacker is able to recover the secret of the target. Recently, a new type of side-channel leakage has been discovered, called far field EM emissions. READ MORE