A Bandwidth-Optimal Group-Injected Data Filtering and ElGamal-Based Authentication Framework for Secure Wireless Sensor Networks
Keywords:
Malinformation, BO-GIDF, NAEC, WSNAbstract
Wireless sensor networks (WSNS) place a premium on efficient use of resources and safety. Particularly in multipath sensor network routing, studies have concentrated on reducing resource consumption while increasing security. False information is a major problem since it makes it harder to aggregate and authenticate data, which in turn increases the need for bandwidth and battery life. In response, we have built a bandwidth-optimal group-injected data filtering system to improve network performance by decreasing packet-transferred malinformation. In addition, a framework for network authentication has been put in place to strengthen protection against these types of injections. In addition to promoting improved security in multipath data transmission, this also guarantees safer data transfer between nodes and efficiently controls resource utilization. The bandwidth efficient approach employs a data aggregation algorithm to identify malicious information injections, with the goal of lowering energy consumption and network overheads in WSN. To improve the security of wireless sensor networks (WSNS) and reduce the impact of group-injected misinformation, this study presents the BO-GIDF architectural framework. In order to reduce bandwidth consumption, the framework finds all of the neighbors who are spreading false information using a collaborative neighbor selection method that is based on groups. Moreover, it uses an associative filtering approach to save processing time and enhance packet throughput through efficient sink identification. The authors also provide a system called network authenticated based on Elgamal cryptography (NAEC) to improve network privacy and security by strengthening authentication against malinformation injection using asymmetric key encryption. By identifying and isolating hostile actors, the NAEC framework speeds up processing and guarantees high interoperability security via an implicit approved certificate rule that prevents malinformation injection on dynamic pathways.
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