- Tipologia
- Tesi sperimentale
- Argomento
- Evaluation of smart speakers' vulnerability to sound-squatting using quasi-homophones (ideally: Master thesis; for Bachelor thesis contact me)
- Disponibile dal
- 01/11/2023
- Presso
- Dipartimento di Informatica
- Altre informazioni
The increase in the usage of voice controls pushes the growth of sound-squatting attacks. Sound-squatting is a phishing technique that tries to trick users by leveraging words with pronunciation perceptively similar to targets. Sound-squatting is, in fact, generic and applies to the case of listeners that have to write (or interpret) a word pronounced by another person, such as, the speech recognition process used in smart speakers. In this thesis the student will evaluate if a data-driven generation of quasi-homophones can systematically trick speech recognition systems that power smart-speakers, specifically Alexa Skill Toolkit. The evaluation process will involve the collection of smart-speakers speech commands and the generation and evaluation of miss-interpretations made by the speech recognition system.
- Stato
- Assegnata
Rivolgersi a:
- Docente
- Idilio Drago
- idilio.drago@unito.it
- Telefono
- n/d