Decision and Game Theory for Security: 7th International by Quanyan Zhu, Tansu Alpcan, Emmanouil Panaousis, Milind

By Quanyan Zhu, Tansu Alpcan, Emmanouil Panaousis, Milind Tambe, William Casey

This e-book constitutes the refereed court cases of the seventh overseas convention on determination and video game conception for safety, GameSec 2016, held in manhattan, long island, united states, in November 2016.

The 18 revised complete papers offered including eight brief papers and five poster papers have been rigorously reviewed and chosen from forty submissions. The papers are geared up in topical sections on community safety; safeguard dangers and investments; specific track-validating types; selection making for privateness; safeguard video games; incentives and cybersecurity mechanisms; and intrusion detection and data boundaries in security.

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Additional resources for Decision and Game Theory for Security: 7th International Conference, GameSec 2016, New York, NY, USA, November 2-4, 2016, Proceedings (Lecture Notes in Computer Science)

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Then, this equations must hold for the retreat option to be optimal: γ · 0 + (1 − γ) · 0 > γ(cc − va · Ra ) + (1 − γ)(−va · Ra ) ⇒ γ < va · R a cc γ · 0 + (1 − γ) · 0 > γ(cw − va · Ro ) + (1 − γ)(−va · Ro ) ⇒ γ < va · R o cw After setting the restrictions and assuming that the attacker has chosen to attack against normal type defender (A in the first computation), we check if there is deviation by the defender types by comparing the marked selections in Fig. 5. Then, we can conclude that the PBE can be sustained with this scenario, if these conditions hold: v1 · Rd − cc ≥ v2 · Rd − cs ⇒ Rd ≥ cc − cs v1 − v 2 bo − v3 · Rd − cs ≥ −v4 · Rd ⇒ Rd ≤ bo − cs v3 − v 4 The remaining pooling equilibrium scenarios that satisfy PBE in the exhaustive analysis are all listed in Table 3 with respective conditions.

IEEE Internet Things J. PP(99), 1 (2016) 17. : Distributed denial of service attacks. In: 2000 IEEE International Conference on Systems, Man, and Cybernetics, vol. 3, pp. 2275–2280. IEEE (2000) 18. : Game strategies in network security. Int. J. Inf. Secur. 4(1–2), 71–86 (2005) 19. : The honeynet arms race. IEEE Secur. Priv. 1(6), 79–82 (2003) 20. : A cost-based framework for analysis of denial of service in networks. J. Comput. Secur. 9(1), 143–164 (2001) 21. : Game theoretic model of strategic honeypot selection in computer networks.

60 Defender Rate (Rd) 1000 E5: ('N','N') - (A,A) E21: ('N','N') - (R,R) E1: ('N','H') - (A,R) E2: ('N','H') - (R,R) E3: ('H','N') - (A,R) E4: ('H','N') - (R,R) E6: ('H','H') - (A,A) E22: ('H','H') - (R,R) 900 800 700 600 Percentage of Occurence (%) 1100 50 40 30 20 10 500 0 50 100 150 200 250 300 350 Cost of Signaling (cs) 400 450 500 0 E5 E21 E1 E2 E3 E4 E6 E22 Equilibrium Cases Fig. 8. Nash equilibria by cost of signaling & histogram When we examine the strategies taken by both players in this work, we see strategy O is never the best response.

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