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A Smart Trust Management Method to Detect On-Off Attacks in the Internet of Things
Joint Authors
Caminha, Jean
Perkusich, Angelo
Perkusich, Mirko
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Internet of Things (IoT) resources cooperate with themselves for requesting and providing services.
In heterogeneous and complex environments, those resources must trust each other.
On-Off attacks threaten the IoT trust security through nodes performing good and bad behaviors randomly, to avoid being rated as a menace.
Some countermeasures demand prior levels of trust knowledge and time to classify a node behavior.
In some cases, a malfunctioning node can be mismatched as an attacker.
In this paper, we introduce a smart trust management method, based on machine learning and an elastic slide window technique that automatically assesses the IoT resource trust, evaluating service provider attributes.
In simulated and real-world data, this method was able to identify On-Off attackers and fault nodes with a precision up to 96% and low time consumption.
American Psychological Association (APA)
Caminha, Jean& Perkusich, Angelo& Perkusich, Mirko. 2018. A Smart Trust Management Method to Detect On-Off Attacks in the Internet of Things. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1214260
Modern Language Association (MLA)
Caminha, Jean…[et al.]. A Smart Trust Management Method to Detect On-Off Attacks in the Internet of Things. Security and Communication Networks No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1214260
American Medical Association (AMA)
Caminha, Jean& Perkusich, Angelo& Perkusich, Mirko. A Smart Trust Management Method to Detect On-Off Attacks in the Internet of Things. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1214260
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214260