… cybersecurity in WSNs. In … Machine Learning (ML) and Blockchain (BC) security techniques
by studying and analyzing 164 up-to-date publications highlighting security aspect in WSNs. …

… • in a WSN, a blockchain based decentralized authentication mechanism is used … WSN,
IPFS is deployed that integrates blockchain technology. The cost of storing data in the blockchain …

… In traditional models [41–43], blockchain is only used for maintaining the data in WSNs.
However, the PoW consensus mechanism consumes high computational power. In [44, 45], …

… In [25], authors address the existence of MNs in WSNs. Machine learning and DL techniques
are used to classify the nodes. Machine learning techniques are compared with DL model …

… Wireless Sensor Networks (WSNs) contain multiple wireless sensor nodes deployed around
the geographical locations. The WSN … : towards a blockchain based trust model for wsns. In …

… In this study, we proposed blockchain-based hybrid federated machine learning techniqe for
… of assaults in IoT-WSNs, using the immutable and distributed ledger technology blockchain. …

… a secure routing system for WSNs that incorporates blockchain and reinforcement learning
to continually enhance routing efficiency and security. Applying blockchain, a feasible routing …

… Reinforcement learning is a kind of machine learning algorithms represented by Q-… on
blockchain and reinforcement learning for WSNs. In particular, we use the blockchain technology …

… Each Other: To give a broader perspective of blockchain and … of blockchain for ML and
the benefits of ML for blockchain, … and efficiency for wireless sensor networks. By leveraging …

… Then we have explained in brief about how the machine learning NN approach makes the
routing decisions and then about how the SSO algorithms choose the optimal path among the …