Honeypot detection in advanced botnet attacks

Botnets have become one of the major attacks in current Internet due to their illicit profitable financial gain. Meanwhile, honeypots have been successfully deployed in many computer security defense systems. Since honeypots set up by security defenders can attract botnet compromises and become spies in exposing botnet membership and botnet attacker behaviors, they are widely used by security defenders in botnet defense. Therefore, attackers constructing and maintaining botnets will be forced to find ways to avoid honeypot traps. In this paper, we present a hardware and software independent honeypot detection methodology based on the following assumption: security professionals deploying honeypots have liability constraint such that they cannot allow their honeypots to participate in real attacks that could cause damage to others, while attackers do not need to follow this constraint. Attackers could detect honeypots in their botnets by checking whether compromised machines in a botnet can successfully send out unmodified malicious traffic. Based on this basic detection principle, we present honeypot detection techniques to be used in both centralized botnets and peer-to-peer structured botnets. Experiments show that current standard honeypot and honeynet programs are vulnerable to the proposed honeypot detection techniques. In the end, we discuss some guidelines for defending against general honeypot-aware attacks.