Researchers are exploring various approaches to enhance blockchain security, including the use of hybrid consensus algorithms and machine learning techniques. Different methods are being proposed, such as the integration of quantum computing, deep learning, and neural networks, to improve the security and scalability of blockchain networks. The specific techniques being investigated include Bayesian-driven defense, snake optimization algorithms, and convolutional neural networks, among others.