Analytics Morphology and Transformation

Abstract

The asymmetry between cyber-defense and cyber-offense is well-known; defenders must perfectly protect their systems, while attackers need only find one flaw. Defensive cyber-deception has been proposed as a way to mitigate this problem, by using various techniques designed to require attackers to defend themselves from misdirection, false data, and counter-attack. In this paper, we propose a new cyber-deception technique: deceptive self-attack (DSA). DSA modifies network and systems to give the appearance that an unknown third party is also at work attacking the same systems. It is our contention that the presence of this (deceptive) adversary pressures real adversaries in novel ways useful to cyber-defense; and discuss these effects. As a study in DSA, we present and evaluate SOUNDTHEALARM, a SMT-solver based system for generating deceptive self-attack network traffic. SOUNDTHEALARM uses public attack signatures from the Suricata intrusion detection system to automatically generate network traffic consistent with a particular cyber-attack signature.