Biblio
Software Defined Networking (SDN) has introduced both innovative opportunities and additional risks in the computer networking. Among disadvantages of SDNs one can mention their susceptibility to vulnerabilities associated with both virtualization and the traditional networking. Selecting a proper controller for an organization may not be a trivial task as there is a variety of SDN controllers on the market and each of them may come with its own pros and cons from the security point of view. This research proposes a comprehensive methodology for organizations to evaluate security-related features available in SDN controllers. The methodology can serve as a guideline in the decisions related to SDN choice. The proposed security assessment follows a structured approach to evaluate each layer of the SDN architecture and each metrics defined in presented research has been matched with the security controls defined in NIST 800-53. Through the tests on actual controllers the paper provides an example on how the proposed methodology can be used to evaluate existing SDN solutions.
The growing trend toward information technology increases the amount of data travelling over the network links. The problem of detecting anomalies in data streams has increased with the growth of internet connectivity. Software-Defined Networking (SDN) is a new concept of computer networking that can adapt and support these growing trends. However, the centralized nature of the SDN design is challenged by the need for an efficient method for traffic monitoring against traffic anomalies caused by misconfigured devices or ongoing attacks. In this paper, we propose a new model for traffic behavior monitoring that aims to ensure trusted communication links between the network devices. The main objective of this model is to confirm that the behavior of the traffic streams matches the instructions provided by the SDN controller, which can help to increase the trust between the SDN controller and its covered infrastructure components. According to our preliminary implementation, the behavior monitoring unit is able to read all traffic information and perform a validation process that reports any mismatching traffic to the controller.