Our curated selection of journals highlights key advancements in IoT, machine learning, and cybersecurity. Notable contributions include innovative models for securing fog resources in healthcare (Al-Khafajiy et al., ACM Transactions on Internet Technology, 2020), machine learningdriven IoT security solutions (Farooq et al., Journal of Parallel and Distributed Computing, 2022), and blockchain-based mechanisms for detecting internal attacks in IoT (Tariq et al., Sensors, 2021). These works reflect our commitment at Protect Lab to addressing critical challenges in distributed systems, enhancing security, and pushing the boundaries of knowledge in intelligent technologies.