Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/47333
Title: Manipulator: A Novel Collusion Attack on Trust Management Systems in Social IoT
Authors: Uğur, Alper
Keywords: Manipulator
Social IoT
Trust
Trust management
Vulnerability
Publisher: Springer Science and Business Media Deutschland GmbH
Abstract: Billions of smart devices communicate with each other in the era of IoT. They share data, contribute to make decisions and sense to cooperatively perform business operations. The IoT devices implement social networking paradigms to overcome uncertainty and achieve better results. This enhances Social IoT (SIoT), a relatively new subset of IoT where smart entities form a social network of their own to provide better quality of service. Trust is what holds this social togetherness. There are various trust management protocols for managing trust between IoT entities. They were verified with known trust-related attacks such as self-promoting, bad-mouthing, ballot-stuffing etc. In this work a new trust-related attack called manipulator is introduced. It is based on historical trust consideration mechanism in trust management systems established as a safeguard for known attacks. Manipulator attack takes advantage of systems proactive interception on lack of trust and transform it to a friendly fire by deceiving that non-malicious entities were also in collusion all along. The vulnerable trust management schemes in literature against manipulator attack were discussed as well. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Description: 10th Computer Science Online Conference, CSOC 2021 -- 1 April 2021 through 1 April 2021 -- 262879
URI: https://doi.org/10.1007/978-3-030-77442-4_49
https://hdl.handle.net/11499/47333
ISBN: 9783030774417
ISSN: 2367-3370
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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