Analyzing HtTPS encrypted traffic to identify user's operating system, browser and application

Jonathan Muehlstein, Yehonatan Zion, Maor Bahumi, Itay Kirshenboim, Ran Dubin, Amit Dvir, Ofir Pele

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

46 اقتباسات (Scopus)

ملخص

Desktops and laptops can be maliciously exploited to violate privacy. There are two main types of attack scenarios: active and passive. In this paper, we consider the passive scenario where the adversary does not interact actively with the device, but he is able to eavesdrop on the network traffic of the device from the network side. Most of the internet traffic is encrypted and thus passive attacks are challenging. In this paper, we show that an external attacker can identify the operating system, browser and application of HTTP encrypted traffic (HTTPS). To the best of our knowledge, this is the first work that shows this. We provide a large data set of more than 20000 examples for this task. Additionally, we suggest new features for this task. We run a through a set of experiments, which shows that our classification accuracy is 96.06%.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيف2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
ناشرInstitute of Electrical and Electronics Engineers Inc.
رقم المعيار الدولي للكتب (الإلكتروني)9781509061969
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 17 يوليو 2017
الحدث14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 - Las Vegas, الولايات المتّحدة
المدة: ٨ يناير ٢٠١٧١١ يناير ٢٠١٧

سلسلة المنشورات

الاسم2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
مستوى الصوت2017-January

!!Conference

!!Conference14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
الدولة/الإقليمالولايات المتّحدة
المدينةLas Vegas
المدة٨/٠١/١٧١١/٠١/١٧

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