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1
Intro
2
Home Automation Routines
3
Research Gap
4
Motivating Example - A Scenario
5
Obtaining Realistic Scenarios What properties do we want from scenarios?
6
Challenges Generating Natural Scenarios: A modeling problem
7
Key Intuition
8
The Helion Framework
9
Survey Methodology
10
Tokenization
11
Constructing the HOME Corpus Informed Scheduling
12
Generating Expressive Scenarios
13
Predicting Policies with Scenarios 260 Random histories
14
Security Testing with Scenarios Random histories
15
Evaluating Validity of Scenarios In Person study: 16 evaluators
16
Lessons Learned
Description:
Explore a comprehensive analysis of smart home security and safety in this IEEE conference talk. Delve into the Hlion framework, designed to generate natural home automation scenarios by identifying patterns in user-driven sequences. Discover how the naturalness hypothesis applies to smart home event sequences, based on a corpus of 30,518 events from 40 users. Learn about the framework's validation process, involving studies with external evaluators, and its practical application in generating security and safety policies. Examine key findings that highlight the strengths of this approach, unexpected aspects of home automation, and future challenges in this rapidly evolving field. Gain insights into tokenization, corpus construction, informed scheduling, and scenario generation techniques used in the Hlion framework.

Towards a Natural Perspective of Smart Homes for Practical Security and Safety Analyses

IEEE
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