Dynamic Security Risk Management Using Bayesian Attack Graphs

By Nayot Poolsappasit, Rinku Dewri, I. Ray. IEEE Transactions on Dependable and Secure Computing, 2012

643 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/8b1e3096a623bcdbbb485f3a6e7ec15efa318e24

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Ludovic Piètre-Cambacédès
2. Barbara Kordy
3. Patrick Schweitzer
4. Jeongkeun Lee

In Information Systems

1. Ludovic Piètre-Cambacédès
2. Barbara Kordy
3. Patrick Schweitzer

In Software

1. Ludovic Piètre-Cambacédès
2. Barbara Kordy
3. Patrick Schweitzer

Citations in the corpus

• DAG-based attack and defense modeling: Don't miss the forest for the attack trees (2013, methodology): “This article also supports the selection of an adequate modeling technique de- pending on user requirements.”
• NICE: Network Intrusion Detection and Countermeasure Selection in Virtual Network Systems (2013, methodology): “[17] proposed a Bayesian attack graph (BAG) to address dynamic security risk management problem and applied a genetic algorithm to solve countermeasure optimization problem.”