Cyber Threat Intelligence: Challenges and Opportunities

Author:

Conti Mauro,Dargahi Tooska,Dehghantanha Ali

Publisher

Springer International Publishing

Reference17 articles.

1. Alhawi, O.M.K., Baldwin, J., Dehghantanha, A.: Leveraging machine learning techniques for windows ransomware network traffic detection. In: M. Conti, A. Dehghantanha, T. Dargahi (eds.) Cyber Threat Intelligence, chap. 5. Springer - Advances in Information Security series (2018, in press)

2. Baldwin, J., Alhawi, O.M.K., Shaughnessy, S., Akinbi, A., Dehghantanha, A.: Emerging from The Cloud: a Bibliometric Analysis of Cloud Forensics Studies. In: M. Conti, A. Dehghantanha, T. Dargahi (eds.) Cyber Threat Intelligence, chap. 16, p. in press. Springer - Advances in Information Security series (2018)

3. Baldwin, J., Dehghantanha, A.: Leveraging support vector machine for opcode density based detection of crypto-ransomware. In: M. Conti, A. Dehghantanha, T. Dargahi (eds.) Cyber Threat Intelligence, chap. 6, p. in press. Springer - Advances in Information Security series (2018)

4. Ding, Q., Li, Z., Haeri, S., Trajković, L.: Application of machine learning techniques to detecting anomalies in communication networks: Classification algorithms. In: M. Conti, A. Dehghantanha, T. Dargahi (eds.) Cyber Threat Intelligence, chap. 4, p. in press. Springer - Advances in Information Security series (2018)

5. Ding, Q., Li, Z., Haeri, S., Trajković, L.: Application of machine learning techniques to detecting anomalies in communication networks: Datasets and feature selection algorithms. In: M. Conti, A. Dehghantanha, T. Dargahi (eds.) Cyber Threat Intelligence, chap. 3, p. in press. Springer - Advances in Information Security series (2018)

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