No abstract

Prompt recovery of data after cyber attacks depends on an efficient damage assessment mechanism. This paper presents a grouping model for the agent-based damage assessment method to facilitate quick post information warfare damage assessment. The grouping method proposed is based on the longest-dependency-path-first approach and can significantly reduce the damage assessment latency of the agent based damage assessment process. We also present an improved damage assessment algorithm that uses this grouping model to determine the extent of damage to other data items.