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Explore the concept of Quantified Self (QS) and its security implications in this Black Hat conference talk. Delve into the world of personal data collection through wearable devices, Internet-of-Things, and social media. Examine the potential risks associated with QS apps and devices, including data leakage, privacy concerns, and security vulnerabilities. Learn about attack vectors and scenarios targeting QS devices, and discover the findings from analyzing top QS applications. Investigate the privacy limitations of activity trackers and their susceptibility to tracking. Gain insights into the unintended consequences of data collection and the importance of implementing proper security measures. Understand the challenges users face in protecting their personal information and explore potential solutions to mitigate risks in the QS ecosystem.
Syllabus
Intro
WHAT IS QUANTIFIED SELF? Recording everything about your life
WHERE THE BITS FIT IN
UNINTENTIONAL DATA LEAKS The secret life of mobile apps...
VERIFY THE DEFAULT SETTINGS!
YOUR DATA IS ALREADY BEING ANALYSED
20% SENT PASSWORDS IN CLEAR TEXT
ENUMERATE USER DATA FOR SPAMMERS
OPEN REMAILER SCRIPTS
GET REWARDED
BLUETOOTH LOW ENERGY
SCANNING WITH A BLUEBERRY PI
SCAN RESULTS FOR MINI MARATHON
WHAT CAN USERS DO?
QUESTIONS ?
Taught by
Black Hat