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Methodology to Improve the Quality of Cyber Threat Intelligence Production Through Open Source Platforms

Methodology to Improve the Quality of Cyber Threat Intell...

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International Conference on Computer Science, Electronics, and Industrial engineering, CSEI 2022

作者： Machado da Silva, Rogerio Costa Gondim, João José de Oliveira Albuquerque, Robson Professional Post-Graduate Program in Eletrical Engineering - PPEE Department of Eletrical Engineering University of Brasília Distrito Federal Brasília70910-900 Brazil

ISBN: (纸本)9783031305917

In cyberspace, boundaries are constantly being crossed in the name of progress and convenience, and invariably result in new vulnerabilities and potential 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 unstructured textual reports, or extracted from blogs and social media. These data sources have been imposing great limitation on security analysts due to the high volume and low quality of Cyber Threat Intelligence (CTI). Among the various aspects that impose limitations on the use of CTI, we focus on data quality. Inaccurate, incomplete or outdated information makes actions reactive, in no way different from traditional approaches. However, quality threat intelligence has a positive impact on incident response time. In this work we propose an Indicator of Compromise enrichment process to improve the quality of CTI, based on the intelligence production cycle, we conduct research to define metrics capable of evaluating the CTI produced through open source licensed threat intelligence platforms. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Cybersecurity

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Multi-agent Architecture for Passive Rootkit Detection with Data Enrichment

Multi-agent Architecture for Passive Rootkit Detection with...

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International Conference on Computer Science, Electronics, and Industrial engineering, CSEI 2022

作者： Trinks, Maickel Gondim, João Albuquerque, Robson Professional Post-Graduate Program in Electrical Engineering - PPEE - Department of Electrical Engineering University of Brasília DF Brasília Brazil Department of Computer Science Universidade de Brasília DF Brasília Brazil

ISBN: (纸本)9783031305917

The added value of the information transmitted in a cybernetic environment has resulted in a sophisticated malicious actions scenario aimed at data exfiltration. In situations with advanced actors, like APTs, such actions use obfuscation techniques of harmful activities as persistence assurance on strategic targets. The MADEX and NERD architectures proposed flow analysis solutions to detect rootkits that hide network traffic;however, it presents some operational cost, either in traffic volume or due to lack of aggregated information. In that regard, this work changes and improves user flow analysis techniques to eliminate impacts on network traffic, with data enrichment on local and remote bases, detection of domains consulted by rootkits and aggregation of information to generate threat intelligence, while maintaining high performance. The results show the possibility of aggregating information to data flows used by rootkits in order to have effective cyber defense actions against cybernetic threats without major impacts on the existing network infrastructure. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multi agent systems

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