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Total Size:
6.3 MB
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D2E3AAD3E7379F6995EF04A78C58D29446BA568A
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Added:
Aug. 11, 2025, 9:40 a.m.
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(Last updated: Aug. 11, 2025, 9:42 a.m.)
| File | Size |
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| Esposito S. Hacking Voice-Controllable Devices 2026.pdf | 6.3 MB |
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206.5 MB
[47
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21]
2023-10-22
| Uploaded by TGxGoodies | Size 206.5 MB | Health [ 47 /21 ] | Added 2023-10-22 |
NOTE
SOURCE: Esposito S. Hacking Voice-Controllable Devices 2026
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COVER
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MEDIAINFO
Textbook in PDF format Voice-controllable devices allow hands-free interactions, offering a modern user experience and helping impaired users. However, the voice channel that enables this interaction is also one of their main weaknesses. Higher usability often comes with higher security and privacy risks. As Voice-Controllable Devices are no exception to this, a plethora of new attacks have been carried out against them in recent years. In this book, several attacks are analysed against the voice channel available in the literature; it then devises a bespoke kill chain to facilitate the classification of attack steps and future research. Additionally, the work analyses the design of the notorious Alexa vs Alexa attack, which turned Echo Dot devices against themselves in 2022. Finally, the present volume explores measures against all these attacks and raise important questions about their suitability for user needs. The absence of proper authentication and authorisation protocols lays the base for a variety of security problems that have emerged in recent years. Several attacks compromising the safety, security, and privacy of smart speaker users have already been identified: some of these attacks aim to interfere with command recognition, such as by launching a Denial of Service (DoS) attack on the targeted voice-controlled device. One example is the Adversarial Music, which when played in proximity of the target device, does not allow voice commands to reach the VCD. Other attacks aim at impersonating the VPA, for example by leveraging mispronunciations of application names by the legitimate user: after the legitimate user inadvertently opens the malicious skill (i.e. the user is victim of a skill squatting attack), the application pretends to be the VPA and emulates its behaviour, with the hope of tricking the user into disclosing sensitive information. These attacks are usually referred to as voice masquerading attacks. Most attacks, however, aim to inject commands unknowingly to the legitimate user, to allow the adversary to perform unauthorised operations on the victim device. These attacks are called voice spoofing attacks, and they are the core concept that will be studied in this book. To date, security researchers have found several methods to exploit the voice channel: some attacks work by injecting inaudible commands via an external ultrasonic speaker; other attacks hide voice commands inside an audio file, such as a song, which is used as a carrier for the adversarial perturbations; sometimes, commands are transmitted to the voice-controllable device using an unusual vector (i.e. the command is not transmitted directly over-the-air), for example using light or a solid carrier, such as a table, by using a Piezoelectric Transducer (PZT) to drive ultrasonic waves through the solid surface. Topics and features Discusses timely security and privacy challenges in IoT devices, with an emphasis on voice-controllable devices Provides a framework for assessing and studying attacks against the voice channel Addresses practical attacks successfully carried out against real devices, showing that an impactful attack need not be complex Explores advanced safeguards from a new perspective, questioning whether research is proceeding in the right direction This powerful volume—containing tips, tricks, and techniques used by ethical hackers to breach the voice channel—serves as the perfect guide for researchers conducting security and privacy research on IoT. It also provides food for thought for graduate students and enthusiasts of these subjects who do not shy away from the mathematics behind the world of Machine Learning. Preface Part I: Voice-Controllable Devices (VCDs) Introduction Technological Background Part II: Foundations of Attack and Defense The HAVOC Model for Attacking VCDs A Taxonomy of Measures Against Voice Spoofing Attacks Part III: Exploiting and Defending in the Real World The Alexa Versus Alexa Attack Analysis of AvA in the Real World An Intelligent Measure Against Self-activation Conclusion
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