Smart grids require communication networks to convey sensing and control data for improving the efficiency of energy generation, transmission, Gift Box Set and delivery.As a result, smart girds become vulnerable to various types of cyber-attacks.Trust models were recognized as one of the important methods of defending a large communication network
Aiming at the problem of traffic data Control Switch distribution shift caused by new unknown attacks in the industrial Internet, a malicious traffic identification method based on neighborhood filtering and stable learning was proposed to enhance the effectiveness and robustness of the existing graph neural network model in identifying known malic
Nephrotic syndrome (NS) is a complex Smart Day clinical entity characterized by proteinuria, hypoalbuminemia, and edema.In this review, we propose the view of NS as a podocytopathy, highlighting the importance of understanding the role of podocytes in the development of this condition.We discuss the various etiologies of NS, ranging from congenital