The amalgamation of Medical Internet of Things (MIoT) devices into everyday life is influencing the landscape of modern medicine. The implementation of these devices potentially alleviates the pressures and physical demands of healthcare systems through the remote monitoring of patients. However, there are concerns that the emergence of MIoT ecosystems is introducing an assortment of security and privacy challenges. While previous research has shown that multiple vulnerabilities exist within MIoT devices, minimal research investigates potential data leakage from MIoT devices through hijacking attacks.The research contribution of this paper is twofold. First, it provides a proof of concept that certain MIoT devices and their accompanying smartphone applications are vulnerable to hijacking attacks. Second, it highlights the effectiveness of using digital forensics tools as a lens to identify patient and medical device information on a hijacker's smartphone.
The volume of cyber attacks has increased tremendously in the recent years. Many of these cyber attacks can be linked to current and historic events in the social, political, economic, and cultural (SPEC) dimensions in the human world. In this paper, we analyze the expression of such cyber attacks in news media and publications based on past social events, explore the factors in social dimension that triggered the cyber attacks, and map these factors to concepts in a cyber attack domain model. The goal of this research is to gain a better understanding of the likelihood of cyber attacks upon social disturbances in the human world. Such insight would allow predictions to be made about an impending cyber attack, the means and methods with which such attacks could be carried out, the potential victims, and the time and duration of the attacks. In our future work, we aim to utilize our models to provide early warnings such that necessary defenses can be built up before cyber attacks occur in response to disturbances in the SPEC dimensions.
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