Research on Lightweight Security Architecture in Edge Computing focuses on developing efficient, scalable, and resource-conscious frameworks to secure distributed edge devices, networks, and applications without overburdening constrained computational and energy resources. This area addresses challenges such as heterogeneous device capabilities, dynamic workloads, mobility, and low-latency requirements while ensuring confidentiality, integrity, and availability of data and services. Key research directions include designing modular and lightweight cryptographic protocols, context-aware and adaptive security policies, and secure communication frameworks optimized for edge environments. Other emerging topics involve blockchain- and distributed ledger-enabled lightweight security, AI- and machine learning-assisted threat detection, and energy- and latency-aware security mechanisms. Additionally, research on secure microservices and container-based architectures, federated security frameworks, and collaborative edge–cloud defense mechanisms represents significant avenues for advancing efficient, robust, and intelligent security solutions in distributed edge computing systems.