1 / 5

Privacy analysis of user association log in an enterprise wireless network

Privacy analysis of user association log in an enterprise wireless network. Keren Tan. Background. To protect privacy, we sanitize network trace before sharing them General sanitization mainly focus on randomizing or truncating explicit user identity information. randomize. 345356.

emera
Download Presentation

Privacy analysis of user association log in an enterprise wireless network

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Privacy analysis of user association log in an enterprise wireless network Keren Tan

  2. Background • To protect privacy, we sanitize network trace before sharing them • General sanitization mainly focus on randomizing or truncating explicit user identity information randomize 345356 129.170.212.88 129.170.212.* truncate

  3. Motivation • Besides those explicit identity information in each log entry, much information that can be linked to a specific user (or a small subset of users) is also implicitly contained in collected traces.

  4. Which one is Snoopy? Person 1 Gym, 100min Bake, 50min Sudikoff, 45min Sanitized Person 2 Gym, 55min Bake, 50min Sudikoff, 25min Bake, 30min Sudikoff, 55min Bake, 60min Gym, 80min NP, 10min Person 1 looks like more similar than Person 2?

  5. Challenges Duration 3 months Dataset size > 50GB Scalability! Number of users > 22000 Number of APs> 1300

More Related