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

Nixon

書(shū)目名稱Cyberdefense影響因子(影響力)




書(shū)目名稱Cyberdefense影響因子(影響力)學(xué)科排名




書(shū)目名稱Cyberdefense網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Cyberdefense網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Cyberdefense被引頻次




書(shū)目名稱Cyberdefense被引頻次學(xué)科排名




書(shū)目名稱Cyberdefense年度引用




書(shū)目名稱Cyberdefense年度引用學(xué)科排名




書(shū)目名稱Cyberdefense讀者反饋




書(shū)目名稱Cyberdefense讀者反饋學(xué)科排名

fatty-streak

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

Pander

血友病

neologism

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

expunge

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.

expunge

disrupt

nuclear-tests

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

先行

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,