دانلود رایگان مقاله مولتی ارائه دهنده عنصر مسیر محاسباتی انگیزه ای سازگار و اعتماد آگاه (PCE)

Abstract

In multi-domain backbone networks, the Path Computation Element (PCE) architecture provides effective traffic engineering while limiting the exposure of intra-domain information. However, returned path computations may still reveal confidential intra-domain information, if artfully correlated by a malicious PCE. In such cases, the cooperation among PCEs should consider not only the capability of providing feasible paths but also the likelihood of security breaches (e.g., confidentiality risk exposure). In fact, a PCE might have the interest to block a request if it is arriving from a malicious or a competitor provider. In this scenario, the PCEs cooperation could benefit from a trust management model that accounts for the quality of the past interactions in terms of security violations while avoiding abuse of path computation services. This work introduces the concepts of Trust Ranking and Quality of Interaction in PCE-based multi-domain backbone networks and elaborates a Bayes trust model to regulate the cooperation among PCEs. Specifically, the proposed trust management model aims at creating a common interest for the PCEs in contributing to effective traffic engineering while avoiding misuse of path computation services. Accordingly, we further propose a trust-aware PCE architecture and an incentive-compatible decision model that stimulate the behaviors of PCEs towards an effective cooperation.

7. Conclusion

This paper proposed a trust management model to be applied in multi-provider communication networks where the path computation is performed by means of a collaborative interaction among PCEs. In this scenario, specifically, the paper introduces the concepts of QoI and Trust Ranking and elaborates a trust management model including effectiveness, security, and business objectives regulating the cooperation among PCEs. Moreover, a trustaware PCE request process is proposed, based on an incentivecompatible decision model to choose appropriate response strategies which corresponds to giving higher quality of service to trustworthy PCEs. The proposed model is thoroughly formulated and then is evaluated by means of simulations in realistic multi-provider network scenarios. The obtained results showed the effectiveness of the model in several scenarios where a malicious PCE tries to retrieve confidential intra-domain information of a neighbor domain. As a future work, a multiple PCEs scenario where a number of genuine and malicious PCEs interact will be considered.