Identifying Key Strategies for Reconnaissance in Cybersecurity-Reference-Cited by-同舟云学术

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Identifying Key Strategies for Reconnaissance in Cybersecurity

Published:2022 Issue: Volume: Page:35-47
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
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Author:

Vishnu V.,Praveen K.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8012-0_3

Reference15 articles.

1. Internet Security Threats Report. https://www.symantec.com/threatreport/

2. J.R. Rutherford, G.B. White, Using an improved cybersecurity kill chain to develop an improved honey community, in Hawaii International Conference on System Sciences (HICSS) (2016), pp. 2624–2632

3. E. Alata, M. Dacier, Y. Deswarte, M. Kaaniche, K. Kortchinsky, V. Nicomette, V.-H. Pham, F. Pouget, Collection and analysis of attack data based on honeypots deployed on the internet, in Quality of Protection (2006), pp. 79–91

4. D. Nidhin, I. Praveen, K. Praveen, Role-based access control for encrypted data using vector decomposition, in Proceedings of the International Conference on Soft Computing Systems (2016), pp. 123–131

5. D. Kiwia, A. Dehghantanha, K.-K. Choo, J. Slaughter, A cyber kill chain based taxonomy of banking Trojans for evolutionary computational intelligence. J. Comput. Sci. 2(5), 394–409 (2018)

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2. Classifying DNS over HTTPS Malicious/Benign Traffic Using Deep Learning Models;2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI);2023-11-25

3. Weaponizing Real-world Applications as C2 (Command and Control);2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA);2023-03-14

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