A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks <s> 4. <s> Internet of things (IoT) aims at connecting a large number of devices for supporting “Connectivity to All” in the 5G networks. With connections between the majority of computing devices, capturing a single entity can expose the perimeter of the entire network. Remote diagnosis of the IoT devices can help in identification of such loopholes. However, if an intruder is already present in the network, it can falsify the diagnostic procedures and can cause serious threats to the network. Thus, an efficient strategy is required which can provide remote diagnosis along with the secure validation of IoT devices. In this paper, fuzzy logic is used to resolve the safety decisions and remote diagnosis of IoT devices in 5G networks. The proposed solution uses a two-pass methodology to generate inference rules at the central as well as the local inference engine. The proposed approach evaluates the network in two phases. The first phase emphasizes on the remote diagnosis and the second phase emphasizes on the remote validation. On the basis of these phases, a remote assessment protocol is also proposed which helps in remote validations with lower overheads and ease of deployment. <s> BIB001 </s> A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks <s> 4. <s> 5G network is considered as a key enabler in meeting continuously increasing demands for the future Internet of Things (IoT) services, including high data rate, numerous devices connection, and low service latency. To satisfy these demands, network slicing and fog computing have been envisioned as the promising solutions in service-oriented 5G architecture. However, security paradigms enabling authentication and confidentiality of 5G communications for IoT services remain elusive, but indispensable. In this paper, we propose an efficient and secure service-oriented authentication framework supporting network slicing and fog computing for 5G-enabled IoT services. Specifically, users can efficiently establish connections with 5G core network and anonymously access IoT services under their delegation through proper network slices of 5G infrastructure selected by fog nodes based on the slice/service types of accessing services. The privacy-preserving slice selection mechanism is introduced to preserve both configured slice types and accessing service types of users. In addition, session keys are negotiated among users, local fogs and IoT servers to guarantee secure access of service data in fog cache and remote servers with low latency. We evaluate the performance of the proposed framework through simulations to demonstrate its efficiency and feasibility under 5G infrastructure. <s> BIB002
Strong and efficient Mutual authentications: The security mechanisms in 5G should incorporate strong mutual authentication to verify the originality of both the receiver and the sender. The authentication mechanisms can be performed in various phenomenons over the network such as handover, mobility management, and D2D communications BIB001 BIB002 . Therefore, a strong and efficient mutual authentication mechanism is required which maintains the freshness of keys and session while securing the applications in the 5G setup.