In the current health care scenario, security is the major concern in IoT-WSN with more devices or nodes. Attack or anomaly detection in the IoT infrastructure is increasing distress in the field of medical IoT. With the enormous usage of IoT infrastructure in every province, threats and attacks inthese infrastructures are also mounting commensurately. This paper intends to develop a security mechanism to detect and prevent the black hole and selective forwarding attack from medical IoT-WSN. The proposed secure strategy is developed in five stages: First is selecting the cluster heads, second is generating k-routing paths, third is security against black hole attack, fourth is security against the selective forwarding attack, and the last is optimal shortest route path selection. Initially, a topology is developed for finding the cluster heads and discovering the best route. In the next phase, the black hole attacks are detected and prevented by the bait process. For detecting the selective forwarding attacks, the packet validation is done by checking the transmitted packet and the received packet. For promoting the packet security, Elliptic Curve Cryptography (ECC)-based hashing function is deployed. As the main contribution of this paper, optimal shortest route path is determined by the proposed hybrid algorithm with the integration of Deer Hunting Optimization Algorithm (DHOA), and DragonFly Algorithm (DA) termed Dragonfly-based DHOA (D-DHOA) by concerting the parameters like trust, distance, delay or latency and packet loss ratio in the objective model. Hence, the entire phases will be very active in detecting and preventing the two fundamental attacks like a black hole and selective forwarding from IoT-WSN in the health care sector.

中文翻译：

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卫生保健领域物联网中的黑洞和选择性转发攻击检测与预防：基于混合启发式的最短路径路由

在当前的医疗保健场景中，安全性是具有更多设备或节点的IoT-WSN的主要关注点。物联网基础设施中的攻击或异常检测正在加剧医疗物联网领域的困扰。随着每个省份物联网基础设施的广泛使用，这些基础设施中的威胁和攻击也相应增加。本文旨在开发一种安全机制，以检测和防止来自医疗物联网-WSN的黑洞和选择性转发攻击。提议的安全策略分为五个阶段：第一是选择集群头，第二是生成k路由路径，第三是针对黑洞攻击的安全性，第四是针对选择性转发攻击的安全性，最后是最佳的最短路由路径选择。最初，开发了一种拓扑结构，用于查找簇头和发现最佳路由。在下一阶段，通过诱饵过程检测并防止黑洞攻击。为了检测选择性转发攻击，通过检查发送的数据包和接收的数据包来完成数据包验证。为了提高数据包的安全性，部署了基于椭圆曲线密码学（ECC）的哈希功能。作为本文的主要贡献，通过结合鹿狩猎优化算法（DHOA）和称为Dragonfly-based DHOA（D-DHOA）的DragonFly算法（DA）的混合算法，确定了最佳最短路径路径。目标模型中的参数，如信任度，距离，延迟或延迟以及丢包率。因此，