首页|New Findings on Artificial Intelligence from LUT University Summarized (Blockcha in-based Authentication and Explainable Ai for Securing Consumer Iot Application s)
New Findings on Artificial Intelligence from LUT University Summarized (Blockcha in-based Authentication and Explainable Ai for Securing Consumer Iot Application s)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Artificial In telligence have been published. According to news originating from Lappeenranta, Finland, by NewsRx correspondents, research stated, "The consumer Internet of T hings (IoT) applications in particular smart cities are mostly equipped with Int ernet-connected networked devices to improve city operations by giving access to a massive amount of valuable information. However, these smart devices in a sma rt city environment mostly use public channels to access and share data among di fferent participants." Our news journalists obtained a quote from the research from LUT University, "Th is has introduced a great interest in using authentication and key agreement (AK A) mechanisms and intrusion detection systems (IDS) based on artificial intellig ence (AI) techniques. However, most of the AKA mechanisms have high computation and communication costs and cannot be trusted completely. On the other hand, the AI-based IDS are treated as blackbox by the security analyst due to their inabi lity to explain the reasons behind the decision. In this direction, we have inte grated blockchain-based AKA mechanism with explainable artificial intelligence ( XAI) for securing smart city-based consumer applications. Specifically, first, t he participating entities communicate with each other in a secure manner to exch ange data using a blockchain-based AKA mechanism. On the other hand, we have use d SHapley Additive exPlanations (SHAP) mechanism to explain and interpret the pr ominent features that are most influential in the decision."
LappeenrantaFinlandEuropeArtificia l IntelligenceCybersecurityEmerging TechnologiesMachine LearningLUT Univ ersity
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