This research is attempting to provide richer deception through the use an empirical learning approach to attacks and probes on systems. This research can be regarded as evolutionary:findings of one phase will be the focus and design of next phase. After testing the systems with attacking tools and improving them based on the results obtained from pre-selected hackers attacks, systems will be further tested to determine if the level of deception has further improved. Deceptive honeypots coupled with appropriate intrusion detection systems and firewalls may provide a means for providing much need forward intelligence about attackers and give defenders an increased reaction and countermeasure time window.
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