Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/BIGCOMP.2017.7881730 | 2017 IEEE International Conference on Big Data and Smart Computing (BigComp) |
Keywords | Field | DocType |
Big data,traffic analysis,data mining,HTTP,HTTP2,SPDY,HTTPS | SPDY,World Wide Web,Cryptography,Computer science,Server,Computer network,Encryption,Information extraction,Network data,Big data,The Internet | Conference |
ISSN | ISBN | Citations |
2375-933X | 978-1-5090-3016-3 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Amro | 1 | 0 | 0.34 |
| Sultan Almuhammadi | 2 | 0 | 0.34 |
| sami zhioua | 3 | 72 | 13.00 |