## 5 Use Case of 6G-OPENSEC-Security
### Application Deployment Scenarios
#### 5.5.2 Integrating SCLA in Smart Healthcare Slicing  
The integration of network slicing in smart healthcare (s-health) aims to enhance the reliability and efficiency of healthcare applications and services, which include real-time critical care monitoring, telemedicine, and remote surgery [115]. These applications demand specific requirements such as low latency, high reliability, and security, which can be effectively managed through network slicing.  
An example is the FLIPER framework [114]. It leverages network slicing to provide automation, customization, and on-demand resource allocation based on fingerprinting analysis. Operating within a smart hospital network infrastructure, it includes devices like wearables, video surveillance cameras, desktops, servers, and routers. These devices collect and transmit data through a gateway to the Internet and cloud, facilitating continuous monitoring and real-time data access for healthcare practitioners.  
Key functionalities of this framework include the following:  
* **Logical Isolation**: Creation of multiple logical networks (slices) over a single physical infrastructure, each customized to meet specific healthcare application requirements.
* **Service Customization**: Utilizing SDN and NFV, network slicing provides tailored properties such as low latency and high reliability, essential for applications like telemedicine and remote surgery.
* **High Reliability**: Configuring slices to ensure successful data transmission without exceeding maximum latency, critical for extreme critical care monitoring.
* **Scalability and Density Management**: Managing high density and scalability during scenarios like natural disasters, accommodating many wearable devices.
* **Fingerprinting Techniques**: Using ML algorithms for fingerprinting network traffic to quickly customize network resources, achieving about 90% accuracy, and significantly aiding in network resource adaptation and automation.  
However, this framework, as stated by the authors, presents some security faults. The use of the SCLA based on the ZSM architecture can enhance the security of the framework,and consequentially of the slicing for Smart Healthcare. The benefits that the SCLA can bring to the FLIPER framework are the following:  
* **Real-Time Threat Detection and Response**: it enables continuous monitoring of the smart healthcare network. This allows for the immediate detection of security threats such as unauthorized access, data breaches, and malware. Also, it can automatically adapt the network configuration to mitigate the threat. For instance, it can isolate affected network slices or reroute traffic to secure channels.
* **Automation and Efficiency**: it eliminates the need for manual intervention in security management. Automated decision-making processes ensure quick and efficient responses to threats, reducing the window of vulnerability and minimizing the impact on healthcare services.
* **Enhanced Reliability and Resilience**: it can implement proactive security measures by predicting potential threats based on historical data and current network behaviour.
* **Compliance and Reporting**: automated compliance checks and reporting ensure that the smart healthcare network adheres to regulatory standards and policies, such as those mandated by healthcare authorities and data protection regulations.  
Integrating an SCLA into the FLIPER framework significantly enhances the security of smart healthcare slicing. By providing real-time, automated, and adaptive security management, it ensures continuous protection against threats, thereby maintaining the integrity, reliability, and efficiency of healthcare services. This integration aligns with the growing need for resilient and secure healthcare networks in an increasingly digital and interconnected world.