The Human Interface Device (HID) Attack on Android Lock Screen Non-Biometric Protections and Its Computational Complexity

Fulltext (.pdf 0,9 MB)

https://doi.org/10.52651/sam.a.2022.1.29-36

Autor: Sebastián POTOCKÝ, Jozef ŠTULRAJTER

In: Science & Military

ISSN: 2453-7632

Ročník: 17

Číslo: 1

Strany: 29 - 36

Rok vydania: 2022

Vydavateľ: Akadémia ozbrojených síl generála Milana Rastislava Štefánika, Liptovský Mikuláš

Abstrakt: Nowadays, information obtained from mobile phones is often the subject of evidence in front of a court. ForensicNowadays, information obtained from mobile phones is often the subject of evidence in front of a court. Forensicanalysts often come across smartphones about which they have no prior information. However, they need to extract data fromthem. The main prerequisite to extract the data is to bypass Android lock screen protection. The HID attack is a promisingmethod to break Android lock screen protection. In many cases, this is the only way how to break the smartphone´s nonbiometriclock screen protections on newer Android OS versions. The article contains examples of three non-biometric typesof Android smartphone lock screen protections and their computational complexity. The paper describes hardware and softwarerequirements for implementation of HID attack.

Kľúčové slová: Android; HID; Attack; Bypass; Protection; PIN; Pattern; Password.

Citácia:
POTOCKÝ Sebastián a Jozef ŠTULRAJTER. The Human Interface Device (HID) Attack on Android Lock Screen Non-Biometric Protections and Its Computational Complexity. In: Science & Military [online]. Liptovský Mikuláš: Akadémia ozbrojených síl generála Milana Rastislava Štefánika, 2022, 17 (1), s. 29-36. ISSN: 1336-8885 (print). ISSN: 2453-7632 (online). Dostupné na internete: https://doi.org/10.52651/sam.a.2022.1.29-36

Save
Cookies user preferences
We use cookies to ensure you to get the best experience on our website. If you decline the use of cookies, this website may not function as expected.
Accept all
Decline all
Analytics
Tools used to analyze the data to measure the effectiveness of a website and to understand how it works.
Google Analytics
Accept
Decline
Unknown
Unknown
Accept
Decline