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In modern times, security remains a significant concern in wireless networks. Wireless sensor networks are widely employed in different practical situations. WSNs struggle with numerous internal and external threats, and detecting and defending against insider attacks is difficult. Insider attacks, in which intruders discard received data packets selectively, pose a significant risk to WSNs. The presence of black hole nodes within the network causes this issue. This research paper presents a secure and reliable route management methodology for WSNs that selects nodes and routing paths based on trust metrics. The proposed mechanism employs intelligent routing and node selection to defend against various types of assaults encountered during the routing process, including selective forwarding and black hole attacks. As a result, the paper identifies secure routes and establishes secure network routing. This scheme uses throughput, latency, and packet drop ratio as performance metrics. Experimentation demonstrates that the proposed system effectively increases the probability of secure network routing paths while extending the network lifecycle.

Abstract-The advent of cloud computing makes storage outsourcing becoming a growing trend promotes safe remote data auditing a hot topic that appeared in the literature analysis. Recently some analysts ponder the problem of secure and economical general information security audit to obtain vital information shared. These plans range unit is still not safe against the order of cloud storage server and clients bouquet repudiated by denying the customer in the context of cloud storage impractical. Our theme supports verification of the general public and the abolition of economic as well as user and comparison of verification methods, such as with confidence, efficiency and reliable capacity and the possibility of a safe track the cluster user cancel. Finally, security and analysis of experiments show that , compared with themes related scheme is in addition to the safe and economical[1].