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Title: Action priors for large action spaces in robotics
Authors:
; ; ; ;
Award ID(s):
1750649 1724191
Publication Date:
NSF-PAR ID:
10318992
Journal Name:
AAMAS Conference proceedings
ISSN:
2523-5699
Sponsoring Org:
National Science Foundation
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  1. Trigger-Action platforms are web-based systems that enable users to create automation rules by stitching together online services representing digital and physical resources using OAuth tokens. Unfortunately, these platforms introduce a longrange large-scale security risk: If they are compromised, an attacker can misuse the OAuth tokens belonging to a large number of users to arbitrarily manipulate their devices and data. We introduce Decentralized Action Integrity, a security principle that prevents an untrusted trigger-action platform from misusing compromised OAuth tokens in ways that are inconsistent with any given user’s set of trigger-action rules. We present the design and evaluation of Decentralized Trigger-Action Platform (DTAP), a trigger-action platform that implements this principle by overcoming practical challenges. DTAP splits currently monolithic platform designs into an untrusted cloud service, and a set of user clients (each user only trusts their client). Our design introduces the concept of Transfer Tokens (XTokens) to practically use finegrained rule-specific tokens without increasing the number of OAuth permission prompts compared to current platforms. Our evaluation indicates that DTAP poses negligible overhead: it adds less than 15ms of latency to rule execution time, and reduces throughput by 2.5%.