The field of Internet of Things (IoT) is moving towards enhanced security and decentralization. Researchers are focusing on developing robust trust models that can accurately compute trust scores and prevent attacks such as bad-mouthing and on-off attacks. Additionally, there is a growing interest in using blockchain technology to decentralize IoT architecture, which can overcome the challenges of centralized systems. The use of software unclonable functions and efficient consensus algorithms are also being explored to improve the security and scalability of IoT devices. Noteworthy papers in this area include: An Efficient Recommendation Filtering-based Trust Model for Securing Internet of Things, which proposes a robust trust model with a dynamic window length and personalized subspace clustering algorithm. Another notable paper is An Efficient Lightweight Blockchain for Decentralized IoT, which introduces a novel consensus algorithm based on the Weight-Based-Selection method for validators to validate transactions and add them to the blockchain.