DeepSec 2020 U21 Talk: Protecting Mobile Devices from Malware Attacks with a Python IDS – Kamila Babayeva, Sebastian Garcia

Sanna/ September 2, 2020/ Conference

[Editorial note: We are proud to publish the articles about the U21 presentation slot for young researchers. The U21 track is a tradition of DeepSec. We aim to support (young) talents and give them a place on the stage to present their ideas and to gain experience.] Technology poses a risk of cyber attacks to all of us, but mobile devices are more at risk because there are no good detection applications for phones, and because they are the target of many novel attacks. We still don’t have a good idea of what our phones are doing in the network. To be better protected, mobile devices need better detection solutions from our community. In this talk I will present the development of Slips, a Python-based, free software IDS using machine learning to detect attacks

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