Vai al contenuto principale
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
Email
idilio.drago@unito.it
Telefono
n/d
Ultimo aggiornamento: 06/11/2023 17:15
Non cliccare qui!