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Tipologia
Tesi sperimentale
Argomento
Evaluation of smart speakers' vulnerability to sound-squatting using quasi-homophones (Master thesis)
Disponibile dal
16/11/2022
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
Disponibile

Rivolgersi a:

Docente
Dott. Idilio Drago
Email
idilio.drago@unito.it
Telefono
n/d
Ultimo aggiornamento: 16/11/2022 18:03
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