A Grouping Model for Prompt Agent based Damage Assessment

Naveen Ramanathan, Brajendra Panda, Yi Hu

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.

References

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Paper Citation


in Harvard Style

Ramanathan N., Panda B. and Hu Y. (2012). A Grouping Model for Prompt Agent based Damage Assessment . In Proceedings of the 9th International Workshop on Security in Information Systems - Volume 1: WOSIS, (ICEIS 2012) ISBN 978-989-8565-15-0, pages 109-116. DOI: 10.5220/0004101301090116


in Bibtex Style

@conference{wosis12,
author={Naveen Ramanathan and Brajendra Panda and Yi Hu},
title={A Grouping Model for Prompt Agent based Damage Assessment},
booktitle={Proceedings of the 9th International Workshop on Security in Information Systems - Volume 1: WOSIS, (ICEIS 2012)},
year={2012},
pages={109-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004101301090116},
isbn={978-989-8565-15-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Workshop on Security in Information Systems - Volume 1: WOSIS, (ICEIS 2012)
TI - A Grouping Model for Prompt Agent based Damage Assessment
SN - 978-989-8565-15-0
AU - Ramanathan N.
AU - Panda B.
AU - Hu Y.
PY - 2012
SP - 109
EP - 116
DO - 10.5220/0004101301090116