Abstract
Cyberspace open-source intelligence is a subset of open-source intelligence that mainly pay attention to the information that reflects tactics, technology, procedures, behaviors, events, and other elements which are valuable for cyberspace defenders to gain an advantage in finding out what is happening, why is it happening and how to deal with troubles concerning cyberspace environments. As the scale and complexity of cyberspace continue to rise, nobody could process that increasing amount of data in time. To extract important information from fragments of observing results, it is necessary to strengthen human-machine cooperation in the intelligence domain for better accuracy, insight, and efficiency. From the viewpoint of space dimension, time dimension, and layer model of intelligence-organization, the desired relationship between human and machine and their respective duties are investigated by model-based methodology research, while corresponding suggestions are purposed for better analysis accuracy, insight, and efficiency in the future.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lenders, V., Tanner, A., Blarer, A.: Gaining an edge in cyberspace with advanced situational awareness. IEEE Secur. Priv. 13(2), 65–74 (2015)
Conti, M., Dargahi, T., Dehghantanha, A.: Cyber threat intelligence: challenges and opportunities. In: Dehghantanha, A., Conti, M., Dargahi, T. (eds.) Cyber Threat Intelligence . Advances in Information Security, vol. 70, pp. 1–6. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73951-9_1
Evangelista, J.R.G., Sassi, R.J., Romero, M., Napolitano, D.: Systematic literature review to investigate the application of open source intelligence (OSINT) with artificial intelligence. J. Appl. Secur. Res. 16(3), 345–369 (2020)
Liao, X., Yuan, K., Wang, X.F., et al.: Acing the IOC game: toward automatic discovery and analysis of open-source cyber threat intelligence. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, pp. 755–766 (2016)
Lyn Paul, C., Blaha, L.M., Fallon, C.K., et al.: Opportunities and challenges for human-machine teaming in cybersecurity operations. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 63(1), 442–446 (2019)
Yadav, T., Rao, A.M.: Technical aspects of cyber kill chain. In: Abawajy, J.H., Mukherjea, S., Thampi, S.M., Ruiz-MartÃnez, A. (eds.) Security in Computing and Communications . Communications in Computer and Information Science, vol. 536, pp. 438–452. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22915-7_40
Obrst, L., Chase, P., Markeloff, R.: Developing an ontology of the cyber security domain. In: STIDS, pp. 49–56 (2012)
Barnum, S.: Standardizing cyber threat intelligence information with the structured threat information expression (STIX). Mitre Corp. 11, 1–22 (2012)
Acknowledgments
This work is partially supported by Science and Technology Fund of Sichuan Province under Grant 2017GZDZX0002, 2019JDJQ0058 and 2020JDTD0034.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Chen, J., Zhang, L., Luo, X., Hu, C. (2022). Human-Machine Cooperation and Optimizing Strategies for Cyberspace OSINT Analysis. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_80
Download citation
DOI: https://doi.org/10.1007/978-3-030-85540-6_80
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85539-0
Online ISBN: 978-3-030-85540-6
eBook Packages: EngineeringEngineering (R0)