Enterprise context‐aware policy solutions for prioritizing service requests and mitigating risk in communications

2014 
This thesis suggests that the enterprise should determine its own connectivity policies and convey them to the network carrier. This allows selecting service delivery options based on business goals, using corporate internal knowledge of users and tasks. The proposed eCAPS (enterprise Context Aware Policy System) allows organizations to distinguish between business and personal requests that are generated by BYOD (Bring Your Own Device) users. This enables enterprises to make policy decisions about resourcing, priority levels, automatic funding and even choice of access networks. By extending the model to evaluated risks, the enterprise could determine mitigating actions for high risk service requests, moderated by business priorities. The network solution utilizes extended 3GPP interfaces, to enable the enterprise to act as a Mobile Virtual Network Operator (MVNO) or as a Sponsor of data services. The proposed ‘Defer‐Back’ feature facilitates deferring personal usage back to the carrier, to be treated as a personal service. The solution contains a Business and Risk model that determines the profile of each service request. This model computes attributes’ inherent values from the Credibility of their sources, which is estimated by their digital characteristics, such as confidence (reliability, data stability), accuracy (error‐management) and precision (resolution and proximity). Corporate policy is injected via multi‐level customizable prioritization, thus combining observations with preferences. To aggregate the evidential information, a new algorithm (Cedar: Corroborative Evidential Diminishing Aggregation Rating) is proposed, which proportionally augments concordant attributes and decrements discordant ones. Cedar satisfies a challenging range of requirements and outperforms popular methods, especially due to its robustness and logical handling of uncertainty and conflict. The proposed multi‐facet eCAPS solution has many applications, of which four are included. Additionally, a case study of an MVNO Automotive is described, which necessitates joining multistakeholders’ policy. The ‘Cedar Credibility Tree’ approach, with corroborative aggregation and measured Credibility, has far reaching utility, especially in behavioral context and diagnosis
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