Industry 4.0 enable novel business cases, such as client-specific production, real-time monitoring of process condition and progress, independent decision making and remote maintenance, to name a few. However, they are more susceptible to a broad range of cyber threats because of limited resources and heterogeneous nature. Such risks cause financial and reputational damages for businesses, well as the theft of sensitive information. The higher level of diversity in industrial network prevents the attackers from such attacks. Therefore, to efficiently detect the intrusions, a novel intrusion detection system known as Bidirectional Long Short-Term Memory based Explainable Artificial Intelligence framework (BiLSTM-XAI) is developed. Initially, the preprocessing task using normalization and standardization is performed to enhance the data quality for detecting network intrusions. Subsequently, the significant features are selected from the databases using the Krill herd optimization (KHO) algorithm. The proposed BiLSTM-XAI approach provides better security and privacy inside the industry networking system by detecting intrusions very precisely. In this, we utilized SHAP and LIME explainable AI algorithms to further improve the prediction accuracy. The experimental setup is made by MATLAB 2016 software using Honeypot and NSL-KDD datasets as input. The analysis result reveals that the proposed method achieves superior performance in detecting intrusions with a classification accuracy of 98.2%.
Wire arc additive manufacturing is a type of additive manufacturing process in which layer upon layer is added to form a closely welded component. In this study, gas metal arc welding - pulse and gas metal arc welding - double pulse methods were used to manufacture the components with 5356 aluminum alloy. the microstructures of the pulse and double pulse were observed and compared, the results show that the bead formation, structure, formability and continuity appeared to be better on the double pulse welding when compared to pulse. The pore formations were found in larger numbers in pulse than double pulse, due to the presence of a larger number of pores in pulse, it is weaker than double pulse.
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