Multi-party and multi-layer nature of 5G networks implies the inherent distribution of management and orchestration decisions across multiple entities. Therefore, responsibility for management decisions concerning end-to-end services become blurred if no efficient liability and accountability mechanism is used. In this paper, we present the design, building blocks and challenges of a Liability-Aware Security Management (LASM) system for 5G. We describe how existing security concepts such as manifests and Security-by-Contract, root cause analysis, remote attestation, proof of transit, and trust and reputation models can be composed and enhanced to take risk and responsibilities into account for security and liability management.

In this paper, we propose a new method for optimizing the deployment of security solutions within an IoT network. Our approach uses dominating sets and centrality metrics to propose an IoT security framework where security functions are optimally deployed among devices. An example of such a solution is presented based on EndToEnd like encryption. The results reveal overall increased security within the network with minimal impact on the traffic.

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The rise of edge computing enables local network management. Services are no longer clustered inside the cloud but rather spread all over the whole network. In this paper, we propose a method for deploying security services within an IoT network according to devices capabilities. Our method models an IoT network as a weighted graph using device capabilities. Using the latter, we propose to identify the most suitable location for a security service using dominating sets and the graph weights. We present results obtained by the proposed method on an example of a smart city based on real data using network security functions such as an IPsec service. Results indicate an overall increase in the network security with minimal impact on the information flow while retaining reduced deployment costs.

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