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1
Intro
2
Background
3
Online Mobile Payment
4
Payment Protections
5
Channel State Information
6
Existing Works about CSI Based Recognition
7
CSI - Hand motion
8
CSI - Finger motion
9
OUTLINE
10
Attack Scenario
11
Challenges
12
System Design
13
ICMP based CSI Collection Module
14
ICMP based CSI Acquirement Module
15
Second Challenge
16
Sensitive Input Module
17
Third Challenge
18
Data Preprocessing Module
19
Signal Processing methods
20
Fourth Challenge
21
Password Inference Module
22
Classification between Different Numbers
23
Infer 6-digit password
24
Influence factors
25
Case Study
26
Limitations
Description:
Explore a conference talk from CCS 2016 that delves into the security vulnerabilities of public WiFi networks and their potential to compromise mobile phone passwords. Learn how researchers from Shanghai Jiao Tong University, University of Massachusetts at Boston, and University of South Florida investigate the use of Channel State Information (CSI) to infer sensitive data input on mobile devices. Discover the attack scenario, challenges, and system design of this novel approach, including ICMP-based CSI collection, sensitive input module, data preprocessing, and password inference techniques. Examine the classification methods used to distinguish between different numbers and infer 6-digit passwords. Gain insights into the influence factors, limitations, and implications of this research for online mobile payment security and WiFi-based recognition systems.

When CSI Meets Public WiFi - Inferring Your Mobile Phone Password via WiFi Signals

Association for Computing Machinery (ACM)
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