iLock - Immediate and Automatic Locking of Mobile Devices against Data Theft
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a conference talk from CCS 2016 that introduces iLock, an innovative system for immediate and automatic locking of mobile devices to prevent data theft. Delve into the challenges of existing authentication methods and learn about the novel approach using active acoustic sensing for leaving detection. Discover the design goals, attacker models, and the implementation of Frequency Modulated Carrier Wave (FMCW)-based distance calculation. Examine user trace extraction techniques and the decision-making process for device locking. Analyze the system's performance in various scenarios, including one person leaving and landscape mode usage. Gain insights into the true positive rate, precision, and recall metrics when facing different types of attackers. Conclude with a power analysis of the iLock system and its potential impact on mobile device security.
Syllabus
Intro
Existing Authentication in Mobile Device
Automatic Locking
Leaving Detection by Active Acoustic Sensing
Challenges
Design Goals
Type-1 Attacker
Frequency Modulated Carrier Wave (FMCW)-based Distance Calculation
User Trace Extraction
When Should the Device be Locked?
One Person Leaving
Landscape Mode
Implementation
True Positive Rate VS. Orientation
Precision/Recall with a Type-III Attacker
Conclusion
Power Analysis
Taught by
ACM CCS
Related Courses
Computer SecurityStanford University via Coursera Cryptography II
Stanford University via Coursera Malicious Software and its Underground Economy: Two Sides to Every Story
University of London International Programmes via Coursera Building an Information Risk Management Toolkit
University of Washington via Coursera Introduction to Cybersecurity
National Cybersecurity Institute at Excelsior College via Canvas Network