標題: Titlebook: Cyberdefense; The Next Generation Marcus Matthias Keupp Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license [打印本頁] 作者: Nixon 時間: 2025-3-21 18:03
書目名稱Cyberdefense影響因子(影響力)
書目名稱Cyberdefense影響因子(影響力)學科排名
書目名稱Cyberdefense網絡公開度
書目名稱Cyberdefense網絡公開度學科排名
書目名稱Cyberdefense被引頻次
書目名稱Cyberdefense被引頻次學科排名
書目名稱Cyberdefense年度引用
書目名稱Cyberdefense年度引用學科排名
書目名稱Cyberdefense讀者反饋
書目名稱Cyberdefense讀者反饋學科排名
作者: fatty-streak 時間: 2025-3-21 21:41
Unsupervised Attack Isolation in Cyber-physical Systems: A Competitive Test of Clustering Algorithmstertwined in such structures, operators must be able to separate incoming status data to isolate the precise location of the cyberattack. We let several unsupervised algorithms compete and analyze the extent to which they can provide fast and efficient analysis in order to support operators with thi作者: Pander 時間: 2025-3-22 03:18 作者: 血友病 時間: 2025-3-22 05:07 作者: neologism 時間: 2025-3-22 12:30
A Novel Algorithm for Informed Investment in Cybersecurity Companies and Technologies. The algorithm also incorporates exogenous variables that reflect investor preferences. The results provide investors with an optimal ranking of technologies and thus help them to make more informed decisions about companies and technologies, in particular vis-à-vis traditional portfolio theory and作者: expunge 時間: 2025-3-22 15:11
Identifying Emerging Technologies and Influential Companies Using Network Dynamics of Patent Clusterhich predicts emerging technology by a sequential blend of machine learning and network analytics. We illustrate the capabilities of this system with patent data and discuss how it can help organizations make informed decisions.作者: expunge 時間: 2025-3-22 18:08 作者: disrupt 時間: 2025-3-22 21:39 作者: nuclear-tests 時間: 2025-3-23 04:04
Drawing with Limited Resources: Statistical Modeling of Computer Network Exploitation and Preventionf information among many irrelevant ones. We model such attacks as repeated urn draws under different distributional patterns, depending on how attackers pursue their operation. Further, we use prospect theory to model risk aversion and overconfidence among attackers. We illustrate the applicability作者: 先行 時間: 2025-3-23 05:55
Individual Career Versus Corporate Security: A Simulation of CSO Investment Choicesgets are not necessarily associated with effective corporate protection, whereas cybersecurity breaches negatively affect individual career prospects irrespective of prior investments. In this chapter we build on the Gordon-Loeb model to develop a recursive model which simulates investment dynamics,作者: 使害怕 時間: 2025-3-23 13:30
Book 2023t defense. It explains why cyberdefense organized and performed by humans is too slow, too cumbersome, and too ineffective.?.Combining the analytical capabilities of experts in operations research and management, international security studies, economics, risk analysis, and defense management, the v作者: Truculent 時間: 2025-3-23 13:53 作者: 連累 時間: 2025-3-23 19:27 作者: right-atrium 時間: 2025-3-24 01:30
A Novel Algorithm for Informed Investment in Cybersecurity Companies and Technologiesnologies and thus help them to make more informed decisions about companies and technologies, in particular vis-à-vis traditional portfolio theory and in a private equity setting where cash flows are not directly observable.作者: 柱廊 時間: 2025-3-24 05:02
Cybersecurity Ecosystems: A Network Study from Switzerlandbilities, and we produce a map of their informal networks. We find that the ecosystem as a whole is a scale-free network that hosts many capabilities, but they are distributed unevenly across organizations. Further, cooperation between these organizations is limited although opportunities to cooperate exist.作者: Cabg318 時間: 2025-3-24 09:34
Anticipating Cyberdefense Capability Requirements by Link Prediction Analysisfirms will require up to six months from now. We compare the efficiency of our method across several unsupervised learning similarity-based algorithms and a supervised learning method to optimize model dynamics.作者: malapropism 時間: 2025-3-24 14:37
Drawing with Limited Resources: Statistical Modeling of Computer Network Exploitation and Preventioners 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.作者: 性學院 時間: 2025-3-24 18:42 作者: commune 時間: 2025-3-24 22:03
https://doi.org/10.1007/978-1-4613-9038-1 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.作者: Acupressure 時間: 2025-3-25 01:15
0884-8289 , too cumbersome, and too ineffective.Offers solutions for pThis book analyzes cyberdefense from a novel and interdisciplinary perspective, offering solutions for problems that have long impeded a more efficient defense. It explains why cyberdefense organized and performed by humans is too slow, too作者: Meander 時間: 2025-3-25 04:09 作者: 碎石 時間: 2025-3-25 11:07 作者: 不再流行 時間: 2025-3-25 13:29 作者: 安慰 時間: 2025-3-25 17:34
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.作者: impale 時間: 2025-3-25 20:43
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.作者: 大猩猩 時間: 2025-3-26 03:14
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.作者: CHASM 時間: 2025-3-26 05:53 作者: Arb853 時間: 2025-3-26 10:40 作者: 熱心助人 時間: 2025-3-26 14:15 作者: sparse 時間: 2025-3-26 16:56
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作者: 婚姻生活 時間: 2025-3-26 21:29 作者: 不如樂死去 時間: 2025-3-27 04:08 作者: Detonate 時間: 2025-3-27 07:13
Winston Harrington,Richard D. Morgensternehensive analysis of the cyberdefense capabilities of Swiss organizations active in cyberdefense. We also study the extent to which they exchange capabilities, and we produce a map of their informal networks. We find that the ecosystem as a whole is a scale-free network that hosts many capabilities,作者: exorbitant 時間: 2025-3-27 11:26 作者: 招募 時間: 2025-3-27 17:34
Joan P. Baker,Sigurd W. Christensenf information among many irrelevant ones. We model such attacks as repeated urn draws under different distributional patterns, depending on how attackers pursue their operation. Further, we use prospect theory to model risk aversion and overconfidence among attackers. We illustrate the applicability作者: CRUDE 時間: 2025-3-27 21:33 作者: 燈絲 時間: 2025-3-27 23:12
https://doi.org/10.1007/978-3-031-30191-9Security breaches; Artificial intelligence; Information Sharing and Analysis Center; ISAC; Malware Infor作者: Ancestor 時間: 2025-3-28 02:34 作者: Insufficient 時間: 2025-3-28 09:20 作者: mitral-valve 時間: 2025-3-28 11:27
Environmental Resources Limitedics and interactions by an agent-based model. Using a game-theoretic approach, we model how defenders can neutralize attacks by cooperating with each other, and how they can overcome uncooperative behavior by migration. We show that this collaborative defense is both fast and effective.作者: Serenity 時間: 2025-3-28 18:28 作者: Nonflammable 時間: 2025-3-28 19:08 作者: 殺死 時間: 2025-3-29 02:09 作者: 失誤 時間: 2025-3-29 06:33
Marcus Matthias KeuppAnalyzes cyberdefense from a novel and interdisciplinary perspective.Explains why cyberdefense organized and performed by humans is too slow, too cumbersome, and too ineffective.Offers solutions for p作者: MOTTO 時間: 2025-3-29 09:58
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/d/image/241864.jpg作者: 笨拙的你 時間: 2025-3-29 14:58 作者: LANCE 時間: 2025-3-29 15:59 作者: vitreous-humor 時間: 2025-3-29 21:02
Correction to: International Law and Cyber Defense Best Practices: The Way Forward,作者: 洞察力 時間: 2025-3-30 02:49 作者: 公理 時間: 2025-3-30 06:43 作者: 不要不誠實 時間: 2025-3-30 10:38 作者: 不連貫 時間: 2025-3-30 15:40
olution to approach geospatial data for big data integration. Grid Square statistics is a technique that allows us to collect and analyze data based on Grids and makes it easier to understand patterns and trends. Sustainability, a key concern for the future of our society, often involves balancing m作者: optional 時間: 2025-3-30 19:20
