NexTech 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • UBICOMM 2021, The Fifteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2021, The Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2021, The Eleventh International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2021, The Thirteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics
  • GLOBAL HEALTH 2021, The Tenth International Conference on Global Health Challenges
  • CYBER 2021, The Sixth International Conference on Cyber-Technologies and Cyber-Systems

SoftNet 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances
  • ICSNC 2021, The Sixteenth International Conference on Systems and Networks Communications
  • CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services
  • VALID 2021, The Thirteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation
  • SOTICS 2021, The Eleventh International Conference on Social Media Technologies, Communication, and Informatics
  • INNOV 2021, The Tenth International Conference on Communications, Computation, Networks and Technologies
  • HEALTHINFO 2021, The Sixth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing

NetWare 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • SENSORCOMM 2021, The Fifteenth International Conference on Sensor Technologies and Applications
  • SENSORDEVICES 2021, The Twelfth International Conference on Sensor Device Technologies and Applications
  • SECURWARE 2021, The Fifteenth International Conference on Emerging Security Information, Systems and Technologies
  • AFIN 2021, The Thirteenth International Conference on Advances in Future Internet
  • CENICS 2021, The Fourteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2021, The Fifteenth International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2021, The Seventh International Conference on Fundamentals and Advances in Software Systems Integration
  • GREEN 2021, The Sixth International Conference on Green Communications, Computing and Technologies

TrendNews 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • CORETA 2021, Advances on Core Technologies and Applications
  • DIGITAL 2021, Advances on Societal Digital Transformation

 


ThinkMind // INTERNET 2020, The Twelfth International Conference on Evolving Internet // View article internet_2020_1_10_40016


IoTSEAR: A System for Enforcing Access Control Rules with the IoT

Authors:
Andreas Put
Bart De Decker

Keywords: Access Control, Security, Internet of Things

Abstract:
Internet of Things (IoT) environments are composed of heterogeneous sensors and devices that collect and share contextual information. This data can improve the accuracy and usability of access control systems, as authentication and authorization requirements can be specified more precisely. However, certain security requirements need to be enforced in order to use such data in access control decision processes. In short, the data must be authentic, recent, and unforgeable. In this paper, we present a generic model for context, which takes emph{data-security} into account along with properties about the device, or context-source. Security-objects, such as message signatures, are modeled as emph{proofs}, which are verifiable, while information about the context-source, communication channel, and the data itself is captured as emph{meta-data}. This model allows an access control system to verify the authenticity and trustworthiness of context-data by (1) checking the presence of a specific proof and verifying it, and (2) analyzing the associated meta-data. It covers not only data from IoT sources, but also authorization and identity tokens. In addition, we present IoTSEAR, a middleware for trustworthy context-aware access control, which uses this model internally. Finally, we show performance results of our IoTSEAR prototype, which show that the overhead is low and that the system is usable even on commodity hardware.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2308-443X

ISBN: 978-1-61208-796-2

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020

SERVICES CONTACT
2010 - 2017 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.