Social Internet of Things: Ethical AI Principles in Trust Management

BANGUI, Hind, Barbora BÜHNOVÁ and Mouzhi GE. Social Internet of Things: Ethical AI Principles in Trust Management. Online. In The 14th International Conference on Ambient Systems, Networks and Technologies (ANT 2023). Neuveden: Elsevier, 2023, p. 553-560. ISSN 1877-0509. Available from: https://dx.doi.org/10.1016/j.procs.2023.03.070.

Basic information

• Original name: Social Internet of Things: Ethical AI Principles in Trust Management
• Authors: BANGUI, Hind (504 Morocco, guarantor, belonging to the institution), Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution) and Mouzhi GE (156 China).
• Edition: Neuveden, The 14th International Conference on Ambient Systems, Networks and Technologies (ANT 2023), p. 553-560, 8 pp. 2023.
• Publisher: Elsevier

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10200 1.2 Computer and information sciences
• Country of publisher: Netherlands
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: URL
• RIV identification code: RIV/00216224:14330/23:00130331
• Organization unit: Faculty of Informatics
• ISSN: 1877-0509
• Doi: http://dx.doi.org/10.1016/j.procs.2023.03.070
• Keywords in English: Trust Management; AI; SIoT; IoT; Ethics; Cyber-physical systems
• Tags: International impact, Reviewed

Abstract

Trust management has become a fundamental requirement for Social Internet of Things (SIoT) to enable a trustworthy social network of smart objects necessary for enhancing the security and reliability of cyber-physical systems. To increase the credibility scores in trust management, AI (Artificial Intelligence) has been adopted. However, the current need for digital acceleration has brought ethical concerns related to the smartness and social consciousness of autonomous objects, which leads to a question whether AI-based trust management is ready to deal with these concerns. In this paper, we consider 11 ethical dimensions within the context of trust management in SIoT. Then, we examine the existing AI-based trust models in the context of SIoT and its related application domains to assess their maturity in terms of the 11 ethical dimensions. The evaluation results show how trust management can be improved by AI ethical principles in vehicular networks and underwater acoustic sensor networks.

Links

• CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU(CEP code: EF16_019/0000822): Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)

Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research

• EF16_019/0000822, research and development project: Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur