Outlier detection based on region is a very useful safety strategy for wireless sensor networks with a high number of scattered nodes. Developing a more effective outlier detection system in WSNs can ensure that data packets are successfully transmitted without loss or corruption. The Evolutionary Game-based Secured Clustering Protocol (EGSCP) has been created for the existing system. Those research approaches, however, failed to discover outlier activities when area leaders behave as malevolent nodes or are compromised by hackers. This is addressed in this work by introducing a novel mechanism for the reliable detection of outlier behaviors, namely Region-Based Secured Data Transmission Protocol (RSDTP). The proposed research approach ensures private rule sharing by introducing the Privacy position-aware Routing in Wireless Sensor Networks (WSNs) which use group public keys of intra-region leaders to create group signatures that are shared by all members of the region which also makes it impossible to know exact positions of area members. Thus, sharing private rules can be guaranteed while using group signatures. This study leverages Enhanced Adaptive Acknowledgment, which checks for the existence of hostile nodes before rule sharing, to enable secure rule sharing. This would take place during intraregional leaders' rule-sharing sessions. To optimize memory storage and address bandwidths/memory concerns, the rule set aggregations are executed in this study following secure rule set transfers between intra and inter-region leaders. NS2 simulations have been used for evaluations of the proposed Region-Based Secured Data Transmission Protocol (RSDTP) approach for attaining effective non-hazardous, safe, and reliable data transport processes.