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Internet enabled medical devices offer patients with a level of convenience. In recent years, the healthcare industry has seen a surge in the number of cyber-attacks. Given the potentially fatal impact of a compromised medical device, this study aims to identify vulnerabilities of medical devices. Our approach uses Shodan to obtain a large collection of IP addresses that will be passed through Nessus...
Predicting meme burst is of great relevance to develop security-related detecting and early warning capabilities. In this paper, we propose a feature-based method for real-time meme burst predictions, namely “Semantic, Network, and Time” (SNAT). By considering the potential characteristics of bursty memes, such as the semantics and spatio-temporal characteristics during their propagation, SNAT is...
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