iPhone Multi-Channel Attacks

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iPhone Multi-Channel Attacks

Senior Design Showcase project, Wentworth Institute of Technology, College of Engineering and Computer Science, Department of Electrical and Computer Engineering, 2020

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title: iPhone Multi-Channel Attacks

creator: Blake Curtis, Julian Peters, Anmol Saini

subject: Machine learning, cybersecurity, mobile devices

description: The goal of this project is to see if it would be viable to be able to guess the password from an iPhone. This would be done through the process of collecting gyroscopic and accelerometer data. This data is collected every second on a smartphone and if it were possible to collect this data and extracted it out to a machine learning algorithm it would be possible for a password to be derived from this.

publisher: The Douglas D. Schumann Library and Learning Commons, Wentworth Institute of Technology

contributor:

date: 2020

type: Poster

format: .pdf

identifier:

source:

language: eng

relation:

coverage:

rights: https://rightsstatements.org/vocab/InC/1.0/

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iPhone Multi-Channel Attacks

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20.ECE.113 Poster

iPhone Multi-Channel Attacks

iPhone Multi-Channel Attacks