TY - GEN
T1 - The Avare patron a holistic privacy approach for the internet of things
AU - Stach, Christoph
AU - Alpers, Sascha
AU - Betz, Stefanie
AU - Dürr, Frank
AU - Fritsch, Andreas
AU - Mindermann, Kai
AU - Palanisamy, Saravana Murthy
AU - Schiefer, Gunther
AU - Wagner, Manuela
AU - Mitschang, Bernhard
AU - Oberweis, Andreas
AU - Wagner, Stefan
N1 - Publisher Copyright:
Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
PY - 2018
Y1 - 2018
N2 - Applications for the Internet of Things are becoming increasingly popular. Due to the large amount of available context data, such applications can be used effectively in many domains. By interlinking these data and analyzing them, it is possible to gather a lot of knowledge about a user. Therefore, these applications pose a threat to privacy. In this paper, we illustrate this threat by looking at a real-world application scenario. Current state of the art focuses on privacy mechanisms either for Smart Things or for big data processing systems. However, our studies show that for a comprehensive privacy protection a holistic view on these applications is required. Therefore, we describe how to combine two promising privacy approaches from both categories, namely AVARE and PATRON. Evaluation results confirm the thereby achieved synergy effects.
AB - Applications for the Internet of Things are becoming increasingly popular. Due to the large amount of available context data, such applications can be used effectively in many domains. By interlinking these data and analyzing them, it is possible to gather a lot of knowledge about a user. Therefore, these applications pose a threat to privacy. In this paper, we illustrate this threat by looking at a real-world application scenario. Current state of the art focuses on privacy mechanisms either for Smart Things or for big data processing systems. However, our studies show that for a comprehensive privacy protection a holistic view on these applications is required. Therefore, we describe how to combine two promising privacy approaches from both categories, namely AVARE and PATRON. Evaluation results confirm the thereby achieved synergy effects.
KW - IoT Apps
KW - Privacy
KW - Privacy Preferences Elicitation & Verification
KW - Smart Things
KW - Stream Processing
UR - http://www.scopus.com/inward/record.url?scp=85065661069&partnerID=8YFLogxK
U2 - 10.5220/0006850303720379
DO - 10.5220/0006850303720379
M3 - Conference contribution
AN - SCOPUS:85065661069
T3 - ICETE 2018 - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications
SP - 372
EP - 379
BT - SECRYPT
A2 - Samarati, Pierangela
A2 - Obaidat, Mohammad S.
A2 - Obaidat, Mohammad S.
PB - SciTePress
T2 - 15th International Joint Conference on e-Business and Telecommunications, ICETE 2018
Y2 - 26 July 2018 through 28 July 2018
ER -