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Titlebook: CSEI: International Conference on Computer Science, Electronics and Industrial Engineering (CSEI); Advances and Applica Marcelo V. Garcia,C

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21#
發(fā)表于 2025-3-25 07:05:24 | 只看該作者
Methodology for?Cyber Threat Intelligence with?Sensor Integrationt Intelligence consists of collecting, classifying, enriching, classifying data, and producing knowledge about threats in network defense systems. In this scenario, we find network Intrusion Detection Systems that specifically analyze network traffic and through signatures detect anomalies, generati
22#
發(fā)表于 2025-3-25 07:49:59 | 只看該作者
23#
發(fā)表于 2025-3-25 12:29:01 | 只看該作者
OSINT Methods in?the?Intelligence Cycleracterized by the application of a set of disciplines to obtain information that will be analyzed for the production of an intelligence product. These disciplines are characterized according to the type of source, its methods and techniques. Open-Source Intelligence (OSINT) is the collection discipl
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發(fā)表于 2025-3-25 17:04:39 | 只看該作者
25#
發(fā)表于 2025-3-25 23:10:21 | 只看該作者
26#
發(fā)表于 2025-3-26 00:08:06 | 只看該作者
Methodology to?Improve the?Quality of?Cyber Threat Intelligence Production Through Open Source Platftial attacks. Traditional security approaches are not able to contain the dynamic nature of new techniques and threats, which are increasingly resilient and complex. In this scenario, the sharing of threat intelligence is growing. However, the vast majority of data is shared in the form of unstructu
27#
發(fā)表于 2025-3-26 05:24:48 | 只看該作者
28#
發(fā)表于 2025-3-26 08:47:27 | 只看該作者
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發(fā)表于 2025-3-26 16:22:38 | 只看該作者
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發(fā)表于 2025-3-26 20:51:59 | 只看該作者
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