{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T13:08:42Z","timestamp":1778677722301,"version":"3.51.4"},"reference-count":0,"publisher":"Slovenian Association Informatika","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCAI"],"abstract":"<jats:p>This paper proposes an AI\u2013blockchain integrated trusted interaction mechanism for network security. The mechanism combines a deep-learning anomaly detector with a permissioned blockchain and smart contracts to provide real-time threat analysis, decentralized authentication and tamper-resistant trust management. The AI module is a two-branch neural network that processes network-traffic features and interaction-behavior graphs and outputs an anomaly score for each event. The blockchain layer adopts a consortium architecture with PBFT-style consensus, and smart contracts implement identity verification, trust update rules and access control.Experiments are conducted on labeled network-traffic traces and an enterprise-like testbed. We compare the proposed mechanism with an AI-only baseline (deep model with centralized control) and a blockchain-only baseline (rule-based smart contracts without AI) using detection-level metrics\u2014accuracy, precision, recall, F1-score, false positive rate (FPR) and false negative rate (FNR)\u2014and system-level metrics\u2014response time and throughput. Under low load, the system reaches 180 ms response time and 5000 requests\/s throughput; under high load, response time is 300 ms and throughput is 4200 requests\/s. Compared with the strongest baseline, throughput increases by 42.8% and FPR is reduced by 60.9%, while FNR remains low across diverse attack scenarios. These results confirm that the mechanism supports trusted interaction in dynamic network environments.<\/jats:p>","DOI":"10.31449\/inf.v50i12.13836","type":"journal-article","created":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T12:09:25Z","timestamp":1778674165000},"source":"Crossref","is-referenced-by-count":0,"title":["AI-Blockchain Integrated Trusted Interaction Mechanism... Informatica 50 (2026) 411\u2013426 411 AI-Blockchain Integrated Trusted Interaction Mechanism for Enhanced Network Security"],"prefix":"10.31449","volume":"50","author":[{"given":"Xulei","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"16141","published-online":{"date-parts":[[2026,5,13]]},"container-title":["Informatica"],"original-title":[],"link":[{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/13836\/6692","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/download\/13836\/6692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T12:09:26Z","timestamp":1778674166000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.informatica.si\/index.php\/informatica\/article\/view\/13836"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,13]]},"references-count":0,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2026,5,13]]}},"URL":"https:\/\/doi.org\/10.31449\/inf.v50i12.13836","relation":{},"ISSN":["1854-3871","0350-5596"],"issn-type":[{"value":"1854-3871","type":"electronic"},{"value":"0350-5596","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5,13]]}}}