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Creators/Authors contains: "Baksi, R."

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  1. ; (, 2nd Conference on Risk Analysis, Decision Analysis and Security, Niagara Falls, NY)
    Deception has been proposed in the literature as an effective defense mechanism to address Advanced Persistent Threats (APT). However, administering deception in a cost-effective manner requires a good understanding of the attack landscape. In this paper, we develop a Hidden Markov Model based framework where the indicators of compromise (IoC) are used as the observables. This framework would help in selecting an appropriate deception script and triggering the proper defensive strategy when faced with APTs or other malware. The effectiveness of the model and the associated framework are illustrated by considering ransomware as the offending APT in a networked system. 
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