Original paper
AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic
Published: Mar 1, 2016
Abstract
Automatic fingerprinting and identification of smartphone apps is becoming a very attractive data gathering technique for adversaries, network administrators, investigators and marketing agencies. In fact, the list of apps installed on a device can be used to identify vulnerable apps for an attacker to exploit, uncover a victim's use of sensitive apps, assist network planning, and aid marketing. However, app fingerprinting is complicated by the...
Paper Details
Title
AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic
Published Date
Mar 1, 2016
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