Paper Info
Title
Towards A User Privacy Preservation System For Iot Environments: A Habit-Based Approach
Abstract
Internet of Things (IoT)-based environments collect and generate huge amounts of data about users, their activities, and their surroundings, which can disclose some sensitive information and threat their privacy. Hence, user data collected and handled by IoT-based applications need to be exploited and secured in an appropriate way to protect personal data and user privacy. Therefore, we aim at designing a user-centric approach for user privacy protection based on two main blocks, namely (i) a habit-based approach for anomaly-based intrusion detection system, and (ii) semantic-based firewall for access control and communication security. We detail in this paper the design of the former block by introducing a generic algorithm for user habit learning as a pillar of our anomaly detection system, which is then instantiated by an intuitionistic fuzzy sets model to illustrate how it operates in a real world use-case.
Year
Venue
Field
2016
2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)
Anomaly detection,Firewall (construction),Computer science,Computer security,Fuzzy set,Access control,Information sensitivity,Intrusion detection system,Genetic algorithm,Communications security
DocType
ISSN
Citations 
Conference
1544-5615
2
PageRank 
References 
Authors
0.36
16
2
Name
Order
Citations
PageRank
Nouredine Tamani18814.63
Yacine Ghamri-Doudane275983.02