Measures should be designed so that bad conduct is not rewarded by both parties. If z.B. a service level is violated because the customer does not provide information on time, the provider should not be penalized. In addition to defining performance metrics, an ALS may include a downtime and documentation management plan, as the service provider compensates clients for violations. Service credits are a typical remedy. For example, service providers may provide credits commensurated with the period during which they exceeded the ALS performance guarantee. A service provider may limit performance penalties to a maximum dollar amount to limit the risk. IT is believed that ALS comes from network service providers, but is now widely used in a number of information technology areas. Some examples of industries that create ALS are IT and managed service providers, as well as IT and Internet service providers. Whether you are creating a service level contract or simply seeking an agreement to ensure that it contains many sections and subsections, if not all of the above sections and subsections, is important for a successful relationship between the service provider and the service consumer.
In particular, as explained in the next section, SPECS offers a flexible architecture that manages the entire lifecycle of ALS and uses cloud automation technologies to automatically provide, configure and activate a set of security services and systems and surveillance agents based on security SLOs listed in a security SLLA. In order to allow these security SLOs to automatically start and configuration, it is necessary to establish a clear link between these SLOs and a set of measurable metrics. Establishing such an assignment is essential and requires in-depth analysis by a security expert. The assignment can be carried out with the acceptance of security SLA models containing all available security and surveillance systems. The SLA model is based on a new safety ALS model proposed in Casola et al. (2016). A huge amount of data is expected to be tracked by detections of anomalies in smart cities. This is why the first challenge must be met by detecting anomalies in how this considerable amount of data is processed, analyzed and managed effectively. In addition, the detection of anomalies in an intelligentness focuses on the application of anomaly detection algorithms to data collected by network services, for example, in order to detect anomalies in these cases on time, in order to have sufficient time to take corrective action. These anomalies reflect potential performance losses, so early detection and voluntary correction can have a significant impact on the performance of the system to be analyzed.
Another challenge is to detect anomalies in time, coupled with appropriate corrective measures. According to ENISA (Dekker and Hogben, 2011), the security parameters of a security surveillance post can be categorized in Figure 1. For each parameter, the monitoring and testing method as well as the thresholds for triggering events (for example. B, incidents, reactions and corrective actions) must be defined. In terms of security requirements, surveillance tests are quite complex. One reason for this is limited access to surveillance data, illustrated in Figure 2. Although your ALS is a documented agreement, it doesn`t have to be long or too complicated. It is a flexible and living document. My advice? Create one with this model and examples and advise your clients for any perceived shortcomings.
As unforeseen cases are unavoidable, you can re-call and optimize ALS if necessary. An ALS is an agreement between you and your client that defines how your relationship will work in the future. Key Performance Indicators (KPIs) are metrics that have been selected to measure how well a team has performed against agreed standards