אסף שבתאי

אקדמי בכיר

Detecting computers in cyber space maliciously exploited as SSH proxies

Idan Morad, Asaf Shabtai

Classifying encrypted traffic is a great challenge in the cyber security domain. Attackers can use the SSH protocol to hide the nature of their attack. This is done by enabling SSH tunneling to act as a proxy. In this study we present a technique for matching (encrypted) SSH incoming sessions with corresponding (encrypted) SSH outgoing sessions through a series of SSH servers. This is an indication of suspicious activity and therefore an important step in order to identify SSH servers that are potentially used as a stepping-stone in a chain of proxies.

שפת פרסום אנגלית
דפים 201-211
סטטוס פרסום פורסם - 01.01.2015

Keywords

Cyberattack
Encrypted traffic
Machine learning
SSH

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science
גישה למסמך
10.1007/978-3-319-27179-8_14
קבצים וקישורים אחרים
Link to publication in Scopus