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Bezpečnost a soukromí

Soukromí, šifrování, sledování, záloha dat, monitoring, audit, hesla, hacking, cracking, malware, phishing

Saving the World: Increasing Efficiency and Accuracy of Encrypted Traffic Analysis of People at Risk

Přednáška | D105 | Neděle 11:00 - 11:45 |

Activists, journalists and human rights defenders are in hostile environments and in constant danger as they deal with sensitive information. They are often exposed to targeted and sophisticated attacks. We designed the Emergency VPN which allows us to help people in danger by analyzing their mobile traffic. This way we can identify if a device is infected or find its vulnerabilities that may put the user at risk. However, the biggest challenge for the network analyst is to quickly and accurately detect malicious encrypted traffic. The speed of the analysis is a critical factor in this work. To improve the speed of the analysis of HTTPS traffic, we combine specific features extracted from HTTPS traffic with state of the art machine learning methods. In this talk we will show how this combination allowed us to increase the efficiency and accuracy of Encrypted traffic analysis of people at risk. In a live demo, we will demonstrate a detection of malicious traffic in a mobile device.

Bezpečnost a soukromí Security Data Bezpečnost a soukromí HTTPS TLS Network Security Malware TLS 1.2 TLS 1.3 Machine Learning Traffic Civil society Hacktivity
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František Střasák

výzkumník
Centrum Umělé Inteligence FEL ČVUT
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Jan Fajfer

Výzkumník
Centrum Umělé Inteligence ČVUT
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Veronica Valeros

Výzkumník
Centrum Umělé Inteligence ČVUT