Collusion attacks in Internet of Things: Detection and mitigation using a fog based model
Source of Publication
SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings
© 2017 IEEE. This paper discusses the problem of collusion attacks in Internet of Things (IoT) environments and how mobility of IoT devices increases the difficulty of detecting such types of attacks. It demonstrates how approaches used in detecting collusion attacks in WSNs are not applicable in IoT environments. To this end, the paper introduces a model based on the Fog Computing infrastructure to keep track of IoT devices and detect collusion attackers. The model uses fog computing layer for real-time monitoring and detection of collusion attacks in IoT environments. Moreover, the model uses a software defined system layer to add a degree of flexibility for configuring Fog nodes in order to enable them to detect various types of collusion attacks. Furthermore, the paper highlights the possible overhead on Fog nodes and network when applying the proposed model, and claims that the Fog layer infrastructure can provide the required resources for the scalability of the model.
Yaseen, Qussai; Jararweh, Yaser; Al-Ayyoub, Mahmoud; and Al Dwairi, Monther, "Collusion attacks in Internet of Things: Detection and mitigation using a fog based model" (2017). Scopus Indexed Articles. 1342.