@inproceedings{56b7054920704afa873734308d7695ef,
title = "NetInfoMiner: High-level information extraction from network traffic",
abstract = "Due to the rapid increase of the Internet traffic encryption HTTPS, and the newly adopted protocols HTTP2 and SPDY, the need for a comprehensive high-level information extraction tool that supports the new protocols becomes essential for critical applications such as digital and network forensic and web penetration testing. In spite of the availability of big data from the Internet traffic, current network data mining tools do not support encrypted network traffic and the new protocols. This paper proposes a new tool for extracting high-level information such as visited links, user credentials and session cookies from HTTP and HTTPS protocols. It also allows extraction of user credentials and session cookies from HTTP2 and SPDY.",
keywords = "Big data, HTTP, HTTP2, HTTPS, SPDY, data mining, traffic analysis",
author = "Ahmad Amro and Sultan Almuhammadi and Sami Zhioua",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 ; Conference date: 13-02-2017 Through 16-02-2017",
year = "2017",
month = mar,
day = "17",
doi = "10.1109/BIGCOMP.2017.7881730",
language = "English",
series = "2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "143--150",
booktitle = "2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017",
}