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Simple Defences against Vibration-Based Keystroke Fingerprinting Attacks

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8263)

Abstract

Smartphones are increasingly equipped with sensitive accelerometers that can analyse acoustic vibrations on a physical surface. This allows them to gain a covert understanding of the surrounding environment by combining accelerometer sampling with sophisticated signal processing techniques. In this work, we analyse keyboard-sniffing attacks based on acoustic (vibration) covert channels, launched from a malicious application installed on a smartphone. An important requirement of such attacks is access to reliable acoustic signals that can be distinguished from the noise floor by applying appropriate signal processing techniques. Our analysis indicates that state-of-the-art attack techniques are fragile; injecting randomised noise (jamming) via the vibration medium into the accelerometer, reduces the efficiency of the attack from 80% to random guessing. We conclude that our work presents an important step towards disabling the covert channel and ensuring full security.

Keywords

Vibration Signal Machine Learning Technique Acoustic Vibration Covert Channel Accelerometer Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.IIIT DelhiIndia
  2. 2.University of BirminghamUK

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