Stochastic Analysis of Cybersecurity Defense Strategies Under Single Attack Scenario
arXiv SecurityArchived Jun 02, 2026✓ Full text saved
arXiv:2606.00481v1 Announce Type: new Abstract: This research presents a novel stochastic framework for proactive cybersecurity defense timing under a single attack scenario. The approach models the defense process as a continuous observation mechanism in which the defense instant and the subsequent observation slot follow independent exponential distributions. Laplace-Carson transforms combined with first-excess theory yield the joint detection function that brackets the attack moment. Marginal
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✦ AI Summary· Claude Sonnet
Computer Science > Cryptography and Security
[Submitted on 30 May 2026]
Stochastic Analysis of Cybersecurity Defense Strategies Under Single Attack Scenario
Song-Kyoo Kim
This research presents a novel stochastic framework for proactive cybersecurity defense timing under a single attack scenario. The approach models the defense process as a continuous observation mechanism in which the defense instant and the subsequent observation slot follow independent exponential distributions. Laplace-Carson transforms combined with first-excess theory yield the joint detection function that brackets the attack moment. Marginalization under Markovian Poisson arrivals then produces the probability density of the defense moment and conditional expectations of pre-attack and post-attack observation times. These closed-form results enable quantitative assessment of defense timing sensitivity to threat intensity and support precise calibration of observation parameters for low-latency proactive measures. Major contributions include the explicit derivation of marginal distributions and expected values, visualization of defense moment density, and the bridging of stochastic duel methodology with practical cybersecurity applications.
Comments: Target to submit an international journal
Subjects: Cryptography and Security (cs.CR); Systems and Control (eess.SY); Probability (math.PR); Applications (stat.AP)
MSC classes: 60C55, 60K10, 90B15, 90B50, 91A35, 91A55, 93A30
Cite as: arXiv:2606.00481 [cs.CR]
(or arXiv:2606.00481v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2606.00481
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Submission history
From: Song-Kyoo Amang Kim Ph.D. [view email]
[v1] Sat, 30 May 2026 02:22:22 UTC (758 KB)
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