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IA-graph based inter-app conflicts detection in open IoT systems

Published: 23 June 2019 Publication History

Abstract

This paper tackles the problem of detecting potential conflicts among independently developed apps that are to be installed into an open Internet of Things (IoT) environment. It provides a new set of definitions and categorizations of the conflicts to more precisely characterize the nature of the problem, and employs a graph representation (named IA Graph) for formally representing IoT controls and inter-app interplays. It provides an efficient conflicts detection algorithm implemented on a SmartThings compiler and shows significantly improved efficacy over prior solutions.

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Cited By

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  • (2022)Stateful Dynamic Partial Order Reduction for Model Checking Event-Driven Applications that Do Not TerminateVerification, Model Checking, and Abstract Interpretation10.1007/978-3-030-94583-1_20(400-424)Online publication date: 14-Jan-2022
  • (2020)DIACACM Transactions on Embedded Computing Systems10.1145/339189519:6(1-25)Online publication date: 3-Oct-2020
  • (2020)Understanding and automatically detecting conflicting interactions between smart home IoT applicationsProceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3368089.3409682(1215-1227)Online publication date: 8-Nov-2020

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Published In

cover image ACM Conferences
LCTES 2019: Proceedings of the 20th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems
June 2019
218 pages
ISBN:9781450367240
DOI:10.1145/3316482
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 June 2019

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Author Tags

  1. Compiler
  2. Conflicts Detection
  3. IOT

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LCTES '19

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Overall Acceptance Rate 116 of 438 submissions, 26%

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Cited By

View all
  • (2022)Stateful Dynamic Partial Order Reduction for Model Checking Event-Driven Applications that Do Not TerminateVerification, Model Checking, and Abstract Interpretation10.1007/978-3-030-94583-1_20(400-424)Online publication date: 14-Jan-2022
  • (2020)DIACACM Transactions on Embedded Computing Systems10.1145/339189519:6(1-25)Online publication date: 3-Oct-2020
  • (2020)Understanding and automatically detecting conflicting interactions between smart home IoT applicationsProceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3368089.3409682(1215-1227)Online publication date: 8-Nov-2020

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