Abstract
In the previous chapter, we have reviewed existing applications of SG in addressing different dynamic security problems. Nonetheless, most existing works assume equal knowledgeable defender and attacker, whereas, in practice, the defender and the attacker are likely to hold different information about the ongoing security rivalries. Conventional SG based methods developed in existing literature do not fit well to such dynamic security games with information asymmetry. To achieve the best possible defense in such scenarios, new techniques that can adequately manage the information asymmetry are needed. In this chapter, we will focus on scenarios where the defender has extra information and present two novel algorithms, termed minimax-PDS and WoLF-PDS, to solve the corresponding dynamic security games with extra information. After establishing the theoretical basis, we will provide two exemplary applications to illustrate how these two new algorithms can be leveraged to handle dynamic security games with extra information. The first application is concerned with anti-jamming and the second application is concerned with a cloud-based security game.
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Notes
- 1.
In the rest part of this chapter, superscripts (m), (w), (mp) and (wp) will be used for the quality and value functions in the conventional minimax-Q and WoLF, and the proposed minimax-PDS and WoLF-PDS algorithms, respectively.
- 2.
Note that similar performance gain can be observed when the jammer adopts other multi-agent reinforcement algorithms but the corresponding results are omitted here.
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He, X., Dai, H. (2018). Dynamic Security Games with Extra Information. In: Dynamic Games for Network Security. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-75871-8_3
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DOI: https://doi.org/10.1007/978-3-319-75871-8_3
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