Biblio

Emerging networking technologies, such as cloud and Software Defined Networking, provide flexibility, elasticity and functionalities to change the network configurations over time. However, changes also impose unpredictable security postures at different times, creating difficulties to the security assessment of the network. To address this issue, we propose a stateless security risk assessment, which combines the security posture of network states at different times to provide an overall security overview. This paper describes the methodologies of the stateless security risk assessment. Our approach is applicable to any emerging networking technologies with dynamic changes.

In the Internet of Things (IoT), smart devices are connected using various communication protocols, such as Wi-Fi, ZigBee. Some IoT devices have multiple built-in communication modules. If an IoT device equipped with multiple communication protocols is compromised by an attacker using one communication protocol (e.g., Wi-Fi), it can be exploited as an entry point to the IoT network. Another protocol (e.g., ZigBee) of this IoT device could be used to exploit vulnerabilities of other IoT devices using the same communication protocol. In order to find potential attacks caused by this kind of cross-protocol devices, we group IoT devices based on their communication protocols and construct a graphical security model for each group of devices using the same communication protocol. We combine the security models via the cross-protocol devices and compute hidden attack paths traversing different groups of devices. We use two use cases in the smart home scenario to demonstrate our approach and discuss some feasible countermeasures.