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Titlebook: Cyberdefense; The Next Generation Marcus Matthias Keupp Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license

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樓主: Nixon
21#
發(fā)表于 2025-3-25 04:09:08 | 只看該作者
22#
發(fā)表于 2025-3-25 11:07:42 | 只看該作者
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發(fā)表于 2025-3-25 13:29:39 | 只看該作者
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發(fā)表于 2025-3-25 17:34:22 | 只看該作者
Joan P. Baker,Sigurd W. Christenseners pursue their operation. Further, we use prospect theory to model risk aversion and overconfidence among attackers. We illustrate the applicability of this model, and we discuss how defenders can use our insights to raise the transaction cost of exfiltration.
25#
發(fā)表于 2025-3-25 20:43:48 | 只看該作者
Next Generation ISACs: Simulating Crowdsourced Intelligence for Faster Incident Responseing. We find that single-community platforms such as ThreatFox let agents share low-value IoC fast, whereas closed-user communities such as MISP create conditions that enable users to share high-value IoC. We discuss the extent to which a combination of both designs may prove to be effective.
26#
發(fā)表于 2025-3-26 03:14:21 | 只看該作者
Individual Career Versus Corporate Security: A Simulation of CSO Investment Choices CSO reputation and inter-firm migration as well as cyberdefense effectiveness. We argue that a positive (negative) dynamic should exist between high (low) CSO reputation and effective corporate protection, and we simulate this hypothesized relationship by a Monte Carlo process which uses data from real cybersecurity breaches.
27#
發(fā)表于 2025-3-26 05:53:08 | 只看該作者
28#
發(fā)表于 2025-3-26 10:40:36 | 只看該作者
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發(fā)表于 2025-3-26 14:15:38 | 只看該作者
30#
發(fā)表于 2025-3-26 16:56:33 | 只看該作者
https://doi.org/10.1007/978-1-4615-8353-0ow firms can use this method with open source data from public repositories to generate unbiased insights about future technology developments, and to assess the maturity, security and likely future development of particular technology domains. The method is demonstrated by systematic text mining of
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